diff --git a/Dockerfile b/Dockerfile
index 1e97f56..34ee860 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -4,9 +4,9 @@ ENV LD_LIBRARY_PATH=/usr/local/lib
 ENV PATH=/usr/local/bin:$PATH
 CMD ["/bin/bash"]
 ENV DEBIAN_FRONTEND="noninteractive" TZ="America"
-ARG RUST_VERSION="nightly-2023-04-01"
+ARG RUST_VERSION="nightly-2024-06-09"
 ARG WASMTIME_REPO="https://github.com/bytecodealliance/wasmtime/"
-ARG WASMTIME_COMMIT="1bfe4b5" # v9.0.1
+ARG WASMTIME_COMMIT="cedf9aa" # v21.0.1
 ARG SIGHTGLASS_REPO="https://github.com/bytecodealliance/sightglass.git"
 ARG SIGHTGLASS_BRANCH="main"
 ARG SIGHTGLASS_COMMIT="e89fce0"
diff --git a/README.md b/README.md
index 275b158..4885637 100644
--- a/README.md
+++ b/README.md
@@ -1,13 +1,13 @@
 # WasmScore
 
 ## Intro
-WasmScore aims to benchmark platform performance when executing WebAssembly outside the browser. It leverages [Sightglass](https://github.com/bytecodealliance/sightglass) to run benchmarks and measure performance and then summarizes these results as both an execution score and an efficiency score. In addition to providing scores for the platform, the benchmark is also a tool capable of executing other tests, suites, or individual benchmarks supported by the driver. WasmScore is work in development.
+WasmScore aims to benchmark platform performance when executing WebAssembly outside the browser. It leverages [Sightglass](https://github.com/bytecodealliance/sightglass) to run benchmarks and measure performance and then summarizes these results as both an execution score and an efficiency score. In addition to providing a general default scores for the platform, the benchmark is also capable of executing other individual or specialized tests, suites, or individual benchmarks supported by the driver. WasmScore development is still at early stages and is work in development.
 
 ## Description
-A basic part of benchmarking is interpreting the results; should you consider the results to be good or bad? To decide, you need a baseline to serve as a point of comparison. For example, that baseline could be a measure of the performance before some code optimization was applied or before some configuration change was made to the runtime. In the case of WasmScore (specifically the wasmscore test) that baseline is the execution of the native code compiled from the same high-level source used to generate the Wasm. In this way the native execution of codes that serves as a comparison point for the Wasm performance also serves as an upper-bound for the performance of WebAssembly. This allows gauging the performance impact when using Wasm instead of a native compile of the same code. It also allows developers to find opportunities to improve compilers, or to improve Wasm runtimes, or improve the Wasm spec, or to suggest other solutions (such as Wasi) to address gaps.
+A basic part of benchmarking is interpreting the results; should you consider the results to be good or bad? To decide, you need a baseline (or goal) to serve as a point of comparison. For example, that baseline could be a measure of the performance before some code optimization was applied or before some configuration change was made to the runtime. In the case of WasmScore (specifically the default score) that baseline is the execution of the native code compiled from the same high-level source used to generate the Wasm. The native execution of codes serves as the expected upper-bound for the performance of WebAssembly. This both informs the performance impact of targeting Wasm instead of native for compiled code and it also allows developers to find opportunities to improve compilers, to improve Wasm runtimes, to improve the Wasm spec, and/or to suggest other solutions (such as Wasi) to address gaps.
 
 ## Benchmarks
-Typically a benchmark reports either the amount of work done over a constant amount of time or it reports the time taken to do a constant amount of work. The benchmarks here all do the later. The initial commit of the benchmarks available are pulled directly from Sightglass. How the benchmarks stored here are built and run do will depend on the external Sightglass revision being used
+Typically a benchmark reports either the amount of work done over a constant amount of time or it reports the time taken to do a constant amount of work. The benchmarks here all do the later. The initial commit of the benchmarks available are pulled directly from Sightglass. How the benchmarks stored here are built and run depends on the Sightglass revision used.
 
 Benchmarks are often categorized based on their purpose and origin. Two example buckets include (1) codes written with the original intent of being user facing and (2) codes written specifically to target benchmarking some important or commonly used code construct or platform component. WasmScore does not aim to favor one of these over the other as both are valuable and relevant in the evaluation of standalone Wasm depending on what you are trying to learn.
 
@@ -22,18 +22,17 @@ WasmScore aims to:
 "wasmscore" is the initial and default test. It includes a mix of benchmarks for testing Wasm performance outside the browser. The test is a collection of several subtests:
 
 ### wasmscore (default):
-- App:  [‘Meshoptimizer’]
-- Core: [‘Ackermann', ‘Ctype', ‘Fibonacci’]
-- Crypto: [‘Base64', ‘Ed25519', ‘Seqhash']
-- AI: (Coming)
+- App:  [‘meshoptimizer’]
+- Core: [‘ackermann', ‘ctype', ‘fibonacci’]
+- Crypto: [‘base64', ‘ed25519', ‘seqhash']
+- AI: ['tract_mobilenet_v2_onnx', 'tract_mobilenet_v2_tensorflow']
 - Regex: (Coming)
 
-## 2024 Q1 Goals
+## 2024 Q3 Goals
 Next steps include:
 - Improving stability and user experience
 - Adding benchmarks to the AI, Regex, and App suites
 - Adding more benchmarks (including w/native build support)
-- Complete the "simdscore" test
 - Publish a list of planned milestone with corresponding releases
 
 ## Usage
diff --git a/benchmarks/Dockerfile.rust b/benchmarks/Dockerfile.rust
index 7b853cb..9a0d0a8 100644
--- a/benchmarks/Dockerfile.rust
+++ b/benchmarks/Dockerfile.rust
@@ -1,4 +1,4 @@
-FROM rust:1.70
+FROM rust:1.75
 RUN rustup target add wasm32-wasi
 WORKDIR /usr/src
 ADD rust-benchmark rust-benchmark
diff --git a/benchmarks/README.md b/benchmarks/README.md
index a508d05..59d02c7 100644
--- a/benchmarks/README.md
+++ b/benchmarks/README.md
@@ -1,3 +1,3 @@
 # Benchmarks
 
-The set of benchmarks here have been copied from [Sightglass](https://github.com/bytecodealliance/sightglass/benchmarks). In general, the benchmarks here and will mostly be consistent with the set of benchmarks in that repository.
\ No newline at end of file
+The set of benchmarks here have been copied from [Sightglass](https://github.com/bytecodealliance/sightglass/benchmarks). The benchmarks here and will mostly be consistent with the set of benchmarks in that repository.
\ No newline at end of file
diff --git a/benchmarks/all.suite b/benchmarks/all.suite
index 4f8b752..7306a01 100644
--- a/benchmarks/all.suite
+++ b/benchmarks/all.suite
@@ -12,6 +12,7 @@ blind-sig/benchmark.wasm
 bz2/benchmark.wasm
 hex-simd/benchmark.wasm
 # image-classification/image-classification-benchmark.wasm
+inference_tract/benchmark.wasm
 intgemm-simd/benchmark.wasm
 libsodium/libsodium-aead_aes256gcm2.wasm
 libsodium/libsodium-aead_aes256gcm.wasm
diff --git a/benchmarks/build.sh b/benchmarks/build.sh
index cd4dcca..2639854 100755
--- a/benchmarks/build.sh
+++ b/benchmarks/build.sh
@@ -38,16 +38,18 @@ print_header "Build benchmarks"
 CONTAINER_ID=$(set -x; docker create $IMAGE_NAME)
 (set -x; docker cp $CONTAINER_ID:/benchmark/. $TMP_BENCHMARK)
 
-# Verify benchmark is a valid Sightglass benchmark.
-print_header "Verify benchmark"
+# Copy benchmark.
+print_header "Copy benchmark"
 # From https://stackoverflow.com/a/246128:
 SCRIPT_DIR="$( cd -- "$( dirname -- "${BASH_SOURCE[0]:-$0}"; )" &> /dev/null && pwd 2> /dev/null; )";
-SIGHTGLASS_CARGO_TOML=$(dirname $SCRIPT_DIR)/Cargo.toml
 for WASM in $TMP_BENCHMARK/*.wasm; do
-    (set -x; cargo run --manifest-path $SIGHTGLASS_CARGO_TOML --quiet -- validate $WASM)
     (set -x; mv $WASM $BENCHMARK_DIR/)
 done;
 
+for MODEL in $TMP_BENCHMARK/*.pb; do
+    (set -x; mv $MODEL $BENCHMARK_DIR/)
+done;
+
 # Clean up.
 print_header "Clean up"
 (set -x; rm $TMP_TAR)
diff --git a/benchmarks/image-classification/image-classification-benchmark.wasm b/benchmarks/image-classification/image-classification-benchmark.wasm
index 4ae0010..0096816 100755
Binary files a/benchmarks/image-classification/image-classification-benchmark.wasm and b/benchmarks/image-classification/image-classification-benchmark.wasm differ
diff --git a/benchmarks/inference_tract/Dockerfile b/benchmarks/inference_tract/Dockerfile
new file mode 100644
index 0000000..da42bbe
--- /dev/null
+++ b/benchmarks/inference_tract/Dockerfile
@@ -0,0 +1,23 @@
+FROM rust:1.78 AS builder
+RUN rustup target add wasm32-wasi
+RUN mkdir /benchmark
+WORKDIR /usr/src
+
+# Compile mobile_net_v2_onnx
+ADD mobile_net_v2_onnx rust-benchmark
+WORKDIR /usr/src/rust-benchmark
+ENV CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse
+RUN (cd mobile_net_v2_onnx; cargo build --release --target wasm32-wasi)
+RUN cp target/wasm32-wasi/release/*benchmark.wasm /benchmark/mobile_net_v2_onnx_benchmark.wasm
+WORKDIR /usr/src
+RUN rm -rf rust-benchmark
+
+
+# Compile mobile_net_v2_tensorflow
+ADD mobile_net_v2_tensorflow rust-benchmark
+WORKDIR /usr/src/rust-benchmark
+RUN (cd mobile_net_v2_tensorflow; cargo build --release --target wasm32-wasi)
+RUN cp target/wasm32-wasi/release/*benchmark.wasm /benchmark/mobile_net_v2_tensorflow_benchmark.wasm
+RUN cp assets/mobilenet_v2_1.4_224_frozen.pb /benchmark/mobilenet_v2_1.4_224_frozen.pb
+WORKDIR /usr/src
+RUN rm -rf rust-benchmark
\ No newline at end of file
diff --git a/benchmarks/inference_tract/README.md b/benchmarks/inference_tract/README.md
new file mode 100644
index 0000000..b8c9be0
--- /dev/null
+++ b/benchmarks/inference_tract/README.md
@@ -0,0 +1,7 @@
+# Image Classification Wasmtime Benchmark
+
+A benchmark that runs an image classifier in pure Wasm. This can be used to
+benchmark the performance of float heavy computations.
+
+Note that the classifier model is not included in the repo because it is large
+and is instead downloaded if needed when running the `setup.sh` script.
diff --git a/benchmarks/inference_tract/build_mobile_net_v2_onnx_native.sh b/benchmarks/inference_tract/build_mobile_net_v2_onnx_native.sh
new file mode 100755
index 0000000..b2a7556
--- /dev/null
+++ b/benchmarks/inference_tract/build_mobile_net_v2_onnx_native.sh
@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+# Build inference_tract benchmark as a native shared library (Linux-only).
+#
+# Usage: ./build_mobile_net_v2_onnx_native.sh
+
+(set -x;)
+(rm -rf mobile_net_v2_onnx_native);
+(cp -r mobile_net_v2_onnx mobile_net_v2_onnx_native);
+(cp mobile_net_v2_onnx_native.patch mobile_net_v2_onnx_native);
+(cd mobile_net_v2_onnx_native; patch -Np1 -i ./mobile_net_v2_onnx_native.patch; mv src/main.rs src/lib.rs; cd -);
+(cd mobile_net_v2_onnx_native; cargo build --release; cp target/release/libbenchmark.so ../mobile_net_v2_onnx_benchmark.so; cd -);
+(set +x;)
diff --git a/benchmarks/inference_tract/build_mobile_net_v2_tensorflow_native.sh b/benchmarks/inference_tract/build_mobile_net_v2_tensorflow_native.sh
new file mode 100755
index 0000000..4306ff6
--- /dev/null
+++ b/benchmarks/inference_tract/build_mobile_net_v2_tensorflow_native.sh
@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+# Build inference_tract benchmark as native shared library (Linux-only).
+#
+# Usage: ./build_mobile_net_v2_tensorflow_native.sh
+
+(set -x;)
+(rm -rf mobile_net_v2_tensorflow_native);
+(cp -r mobile_net_v2_tensorflow mobile_net_v2_tensorflow_native);
+(cp mobile_net_v2_tensorflow_native.patch mobile_net_v2_tensorflow_native);
+(cd mobile_net_v2_tensorflow_native; patch -Np1 -i ./mobile_net_v2_tensorflow_native.patch; mv src/main.rs src/lib.rs; cd -);
+(cd mobile_net_v2_tensorflow_native; cargo build --release; cp target/release/libbenchmark.so ../mobile_net_v2_tensorflow_benchmark.so; cd -);
+(set +x;)
diff --git a/benchmarks/inference_tract/input.png b/benchmarks/inference_tract/input.png
new file mode 100644
index 0000000..5249f6e
Binary files /dev/null and b/benchmarks/inference_tract/input.png differ
diff --git a/benchmarks/inference_tract/mobile_net_v2_onnx/Cargo.lock b/benchmarks/inference_tract/mobile_net_v2_onnx/Cargo.lock
new file mode 100644
index 0000000..1845a39
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_onnx/Cargo.lock
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+ "rustix",
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diff --git a/benchmarks/inference_tract/mobile_net_v2_onnx/Cargo.toml b/benchmarks/inference_tract/mobile_net_v2_onnx/Cargo.toml
new file mode 100644
index 0000000..fb51d03
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_onnx/Cargo.toml
@@ -0,0 +1,17 @@
+[package]
+name = "benchmark"
+version = "0.1.0"
+edition = "2021"
+
+# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+
+[dependencies]
+sightglass-api = "0.1.0"
+anyhow = "1.0"
+bytes = "1.5.0"
+prost = "0.11.0"
+image = { version = "0.25.1", features = ["png"], default-features = false }
+tract-onnx = "0.21.5"
+
+[profile.release]
+strip = 'debuginfo'
diff --git a/benchmarks/inference_tract/mobile_net_v2_onnx/build.rs b/benchmarks/inference_tract/mobile_net_v2_onnx/build.rs
new file mode 100644
index 0000000..992f0b8
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_onnx/build.rs
@@ -0,0 +1,27 @@
+use std::process::Command;
+
+fn main() {
+    // Run the setup.sh to download the model
+    let output = Command::new("bash")
+        .arg("./setup.sh")
+        .output()
+        .expect("Failed to execute setup.sh");
+
+    // Print the output of the download attempt
+    if !output.stdout.is_empty() {
+        println!("{}", String::from_utf8_lossy(&output.stdout));
+    }
+
+    // Check if the download was successful and print the error if not
+    if output.status.success() {
+        println!("setup.sh executed successfully");
+        println!("cargo:note=setup.sh executed successfully.");
+    } else {
+        let error_message = String::from_utf8_lossy(&output.stderr);
+        eprintln!("cargo:note=Failed to execute setup.sh: {}", error_message);
+        eprintln!("Failed to execute setup.sh: {}", error_message);
+        std::process::exit(1);
+    }
+
+    println!("cargo::rerun-if-changed=setup.sh");
+}
diff --git a/benchmarks/inference_tract/mobile_net_v2_onnx/mobile_net_v2_onnx_native.patch b/benchmarks/inference_tract/mobile_net_v2_onnx/mobile_net_v2_onnx_native.patch
new file mode 100644
index 0000000..cb18d9a
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_onnx/mobile_net_v2_onnx_native.patch
@@ -0,0 +1,58 @@
+diff --git a/Cargo.toml b/Cargo.toml
+index fb51d03..2bcee0e 100644
+--- a/Cargo.toml
++++ b/Cargo.toml
+@@ -15,3 +15,8 @@ tract-onnx = "0.21.5"
+
+ [profile.release]
+ strip = 'debuginfo'
++
++[workspace]
++
++[lib]
++crate-type = ["cdylib"]
+\ No newline at end of file
+diff --git a/build.rs b/build.rs
+index 992f0b8..36b36d0 100644
+--- a/build.rs
++++ b/build.rs
+@@ -24,4 +24,7 @@ fn main() {
+     }
+
+     println!("cargo::rerun-if-changed=setup.sh");
++
++    // Link path for native library
++    println!("cargo:rustc-cdylib-link-arg=-L../../../engines/native/");
+ }
+diff --git a/src/main.rs b/src/main.rs
+index 6da3f8d..c54652f 100644
+--- a/src/main.rs
++++ b/src/main.rs
+@@ -80,12 +80,24 @@ fn classify(image: &[u8]) -> Result<Vec<Classification>, anyhow::Error> {
+     })
+ }
+
+-fn main() {
++#[link(name = "engine")]
++extern "C" {
++    fn bench_start() -> ();
++    fn bench_end() -> ();
++}
++
++#[no_mangle]
++pub extern "C" fn native_entry() {
+     setup().unwrap();
+     let image = std::fs::read(IMAGE_PATH).unwrap();
+-    bench::start();
++    unsafe {
++        bench_start();
++    }
++
+     let result = classify(&image).unwrap();
+-    bench::end();
++    unsafe {
++        bench_end();
++    }
+     assert_eq!(result[0].label, "tiger");
+     println!("{:?}", result);
+ }
diff --git a/benchmarks/inference_tract/mobile_net_v2_onnx/setup.sh b/benchmarks/inference_tract/mobile_net_v2_onnx/setup.sh
new file mode 100755
index 0000000..3634b29
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_onnx/setup.sh
@@ -0,0 +1,21 @@
+#!/bin/bash
+
+set -euxo pipefail
+
+MODEL_URL="https://www.github.com/onnx/models/raw/main/validated/vision/classification/mobilenet/model/mobilenetv2-7.onnx?download=:"
+MODEL_FILE="assets/mobilenetv2-7.onnx"
+
+mkdir -p assets
+
+if [ ! -f $MODEL_FILE ]; then
+	echo "Downloading model to $MODEL_FILE"
+
+	if which wget >/dev/null ; then
+	wget $MODEL_URL -O $MODEL_FILE
+	elif which curl >/dev/null ; then
+	curl -vL $MODEL_URL -o $MODEL_FILE
+	else
+	echo "Couldn't find wget or curl."
+	echo "Please download manually from \"$MODEL_URL\" and save the file in $MODEL_FILE."
+	fi
+fi
diff --git a/benchmarks/inference_tract/mobile_net_v2_onnx/src/main.rs b/benchmarks/inference_tract/mobile_net_v2_onnx/src/main.rs
new file mode 100644
index 0000000..6da3f8d
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_onnx/src/main.rs
@@ -0,0 +1,1095 @@
+use prost::Message;
+use sightglass_api as bench;
+use std::cell::RefCell;
+use tract_onnx::prelude::*;
+
+const IMAGE_PATH: &str = "input.png";
+
+#[derive(Debug)]
+struct Classification {
+    label: String,
+    #[allow(dead_code)]
+    score: f32,
+}
+
+type Model = SimplePlan<TypedFact, Box<dyn TypedOp>, Graph<TypedFact, Box<dyn TypedOp>>>;
+
+thread_local! {
+    static MODEL: RefCell<Option<Model>> = RefCell::new(None);
+}
+
+/// An image classification model trained on ImageNet dataset.
+/// The model itself is not included in the source code of this example.
+/// If you see a compile error here, then download the model from:
+/// https://github.com/onnx/models/tree/main/validated/vision/classification/mobilenet
+/// See the `setup.sh` script for details.
+const IMAGENET: &'static [u8] = include_bytes!("./../assets/mobilenetv2-7.onnx");
+
+/// Constructs a runnable model from the serialized ONNX model in `IMAGENET`.
+fn setup() -> TractResult<()> {
+    let bytes = bytes::Bytes::from_static(IMAGENET);
+    let proto: tract_onnx::pb::ModelProto = tract_onnx::pb::ModelProto::decode(bytes)?;
+    let model = tract_onnx::onnx()
+        .model_for_proto_model(&proto)?
+        .into_optimized()?
+        .into_runnable()?;
+    MODEL.with_borrow_mut(|m| {
+        *m = Some(model);
+    });
+    Ok(())
+}
+
+/// Runs the model on the given image and returns top three labels.
+fn classify(image: &[u8]) -> Result<Vec<Classification>, anyhow::Error> {
+    MODEL.with_borrow(|model| {
+        let model = model.as_ref().unwrap();
+        let image = image::load_from_memory(&image)?.to_rgb8();
+
+        // The model accepts an image of size 224x224px.
+        let image =
+            image::imageops::resize(&image, 224, 224, image::imageops::FilterType::Triangle);
+
+        // Preprocess the input according to
+        // https://github.com/onnx/models/tree/main/validated/vision/classification/mobilenet#preprocessing.
+        const MEAN: [f32; 3] = [0.485, 0.456, 0.406];
+        const STD: [f32; 3] = [0.229, 0.224, 0.225];
+        let tensor = tract_ndarray::Array4::from_shape_fn((1, 3, 224, 224), |(_, c, y, x)| {
+            (image[(x as u32, y as u32)][c] as f32 / 255.0 - MEAN[c]) / STD[c]
+        });
+
+        let result = model.run(tvec!(Tensor::from(tensor).into()))?;
+
+        let mut scores: Vec<_> = result[0]
+            .to_array_view::<f32>()?
+            .into_iter()
+            .zip(0..)
+            .collect();
+
+        scores.sort_by(|a, b| b.0.partial_cmp(&a.0).unwrap());
+
+        let labels = scores
+            .iter()
+            .take(3)
+            .map(|(score, i)| Classification {
+                label: LABELS[*i as usize].to_string(),
+                score: **score,
+            })
+            .collect();
+
+        Ok(labels)
+    })
+}
+
+fn main() {
+    setup().unwrap();
+    let image = std::fs::read(IMAGE_PATH).unwrap();
+    bench::start();
+    let result = classify(&image).unwrap();
+    bench::end();
+    assert_eq!(result[0].label, "tiger");
+    println!("{:?}", result);
+}
+
+/// The set of 1000 ImageNet class labels.
+const LABELS: [&'static str; 1000] = [
+    "tench",
+    "goldfish",
+    "great white shark",
+    "tiger shark",
+    "hammerhead",
+    "electric ray",
+    "stingray",
+    "cock",
+    "hen",
+    "ostrich",
+    "brambling",
+    "goldfinch",
+    "house finch",
+    "junco",
+    "indigo bunting",
+    "robin",
+    "bulbul",
+    "jay",
+    "magpie",
+    "chickadee",
+    "water ouzel",
+    "kite",
+    "bald eagle",
+    "vulture",
+    "great grey owl",
+    "european fire salamander",
+    "common newt",
+    "eft",
+    "spotted salamander",
+    "axolotl",
+    "bullfrog",
+    "tree frog",
+    "tailed frog",
+    "loggerhead",
+    "leatherback turtle",
+    "mud turtle",
+    "terrapin",
+    "box turtle",
+    "banded gecko",
+    "common iguana",
+    "american chameleon",
+    "whiptail",
+    "agama",
+    "frilled lizard",
+    "alligator lizard",
+    "gila monster",
+    "green lizard",
+    "african chameleon",
+    "komodo dragon",
+    "african crocodile",
+    "american alligator",
+    "triceratops",
+    "thunder snake",
+    "ringneck snake",
+    "hognose snake",
+    "green snake",
+    "king snake",
+    "garter snake",
+    "water snake",
+    "vine snake",
+    "night snake",
+    "boa constrictor",
+    "rock python",
+    "indian cobra",
+    "green mamba",
+    "sea snake",
+    "horned viper",
+    "diamondback",
+    "sidewinder",
+    "trilobite",
+    "harvestman",
+    "scorpion",
+    "black and gold garden spider",
+    "barn spider",
+    "garden spider",
+    "black widow",
+    "tarantula",
+    "wolf spider",
+    "tick",
+    "centipede",
+    "black grouse",
+    "ptarmigan",
+    "ruffed grouse",
+    "prairie chicken",
+    "peacock",
+    "quail",
+    "partridge",
+    "african grey",
+    "macaw",
+    "sulphur-crested cockatoo",
+    "lorikeet",
+    "coucal",
+    "bee eater",
+    "hornbill",
+    "hummingbird",
+    "jacamar",
+    "toucan",
+    "drake",
+    "red-breasted merganser",
+    "goose",
+    "black swan",
+    "tusker",
+    "echidna",
+    "platypus",
+    "wallaby",
+    "koala",
+    "wombat",
+    "jellyfish",
+    "sea anemone",
+    "brain coral",
+    "flatworm",
+    "nematode",
+    "conch",
+    "snail",
+    "slug",
+    "sea slug",
+    "chiton",
+    "chambered nautilus",
+    "dungeness crab",
+    "rock crab",
+    "fiddler crab",
+    "king crab",
+    "american lobster",
+    "spiny lobster",
+    "crayfish",
+    "hermit crab",
+    "isopod",
+    "white stork",
+    "black stork",
+    "spoonbill",
+    "flamingo",
+    "little blue heron",
+    "american egret",
+    "bittern",
+    "crane",
+    "limpkin",
+    "european gallinule",
+    "american coot",
+    "bustard",
+    "ruddy turnstone",
+    "red-backed sandpiper",
+    "redshank",
+    "dowitcher",
+    "oystercatcher",
+    "pelican",
+    "king penguin",
+    "albatross",
+    "grey whale",
+    "killer whale",
+    "dugong",
+    "sea lion",
+    "chihuahua",
+    "japanese spaniel",
+    "maltese dog",
+    "pekinese",
+    "shih-tzu",
+    "blenheim spaniel",
+    "papillon",
+    "toy terrier",
+    "rhodesian ridgeback",
+    "afghan hound",
+    "basset",
+    "beagle",
+    "bloodhound",
+    "bluetick",
+    "black-and-tan coonhound",
+    "walker hound",
+    "english foxhound",
+    "redbone",
+    "borzoi",
+    "irish wolfhound",
+    "italian greyhound",
+    "whippet",
+    "ibizan hound",
+    "norwegian elkhound",
+    "otterhound",
+    "saluki",
+    "scottish deerhound",
+    "weimaraner",
+    "staffordshire bullterrier",
+    "american staffordshire terrier",
+    "bedlington terrier",
+    "border terrier",
+    "kerry blue terrier",
+    "irish terrier",
+    "norfolk terrier",
+    "norwich terrier",
+    "yorkshire terrier",
+    "wire-haired fox terrier",
+    "lakeland terrier",
+    "sealyham terrier",
+    "airedale",
+    "cairn",
+    "australian terrier",
+    "dandie dinmont",
+    "boston bull",
+    "miniature schnauzer",
+    "giant schnauzer",
+    "standard schnauzer",
+    "scotch terrier",
+    "tibetan terrier",
+    "silky terrier",
+    "soft-coated wheaten terrier",
+    "west highland white terrier",
+    "lhasa",
+    "flat-coated retriever",
+    "curly-coated retriever",
+    "golden retriever",
+    "labrador retriever",
+    "chesapeake bay retriever",
+    "german short-haired pointer",
+    "vizsla",
+    "english setter",
+    "irish setter",
+    "gordon setter",
+    "brittany spaniel",
+    "clumber",
+    "english springer",
+    "welsh springer spaniel",
+    "cocker spaniel",
+    "sussex spaniel",
+    "irish water spaniel",
+    "kuvasz",
+    "schipperke",
+    "groenendael",
+    "malinois",
+    "briard",
+    "kelpie",
+    "komondor",
+    "old english sheepdog",
+    "shetland sheepdog",
+    "collie",
+    "border collie",
+    "bouvier des flandres",
+    "rottweiler",
+    "german shepherd",
+    "doberman",
+    "miniature pinscher",
+    "greater swiss mountain dog",
+    "bernese mountain dog",
+    "appenzeller",
+    "entlebucher",
+    "boxer",
+    "bull mastiff",
+    "tibetan mastiff",
+    "french bulldog",
+    "great dane",
+    "saint bernard",
+    "eskimo dog",
+    "malamute",
+    "siberian husky",
+    "dalmatian",
+    "affenpinscher",
+    "basenji",
+    "pug",
+    "leonberg",
+    "newfoundland",
+    "great pyrenees",
+    "samoyed",
+    "pomeranian",
+    "chow",
+    "keeshond",
+    "brabancon griffon",
+    "pembroke",
+    "cardigan",
+    "toy poodle",
+    "miniature poodle",
+    "standard poodle",
+    "mexican hairless",
+    "timber wolf",
+    "white wolf",
+    "red wolf",
+    "coyote",
+    "dingo",
+    "dhole",
+    "african hunting dog",
+    "hyena",
+    "red fox",
+    "kit fox",
+    "arctic fox",
+    "grey fox",
+    "tabby",
+    "tiger cat",
+    "persian cat",
+    "siamese cat",
+    "egyptian cat",
+    "cougar",
+    "lynx",
+    "leopard",
+    "snow leopard",
+    "jaguar",
+    "lion",
+    "tiger",
+    "cheetah",
+    "brown bear",
+    "american black bear",
+    "ice bear",
+    "sloth bear",
+    "mongoose",
+    "meerkat",
+    "tiger beetle",
+    "ladybug",
+    "ground beetle",
+    "long-horned beetle",
+    "leaf beetle",
+    "dung beetle",
+    "rhinoceros beetle",
+    "weevil",
+    "fly",
+    "bee",
+    "ant",
+    "grasshopper",
+    "cricket",
+    "walking stick",
+    "cockroach",
+    "mantis",
+    "cicada",
+    "leafhopper",
+    "lacewing",
+    "dragonfly",
+    "damselfly",
+    "admiral",
+    "ringlet",
+    "monarch",
+    "cabbage butterfly",
+    "sulphur butterfly",
+    "lycaenid",
+    "starfish",
+    "sea urchin",
+    "sea cucumber",
+    "wood rabbit",
+    "hare",
+    "angora",
+    "hamster",
+    "porcupine",
+    "fox squirrel",
+    "marmot",
+    "beaver",
+    "guinea pig",
+    "sorrel",
+    "zebra",
+    "hog",
+    "wild boar",
+    "warthog",
+    "hippopotamus",
+    "ox",
+    "water buffalo",
+    "bison",
+    "ram",
+    "bighorn",
+    "ibex",
+    "hartebeest",
+    "impala",
+    "gazelle",
+    "arabian camel",
+    "llama",
+    "weasel",
+    "mink",
+    "polecat",
+    "black-footed ferret",
+    "otter",
+    "skunk",
+    "badger",
+    "armadillo",
+    "three-toed sloth",
+    "orangutan",
+    "gorilla",
+    "chimpanzee",
+    "gibbon",
+    "siamang",
+    "guenon",
+    "patas",
+    "baboon",
+    "macaque",
+    "langur",
+    "colobus",
+    "proboscis monkey",
+    "marmoset",
+    "capuchin",
+    "howler monkey",
+    "titi",
+    "spider monkey",
+    "squirrel monkey",
+    "madagascar cat",
+    "indri",
+    "indian elephant",
+    "african elephant",
+    "lesser panda",
+    "giant panda",
+    "barracouta",
+    "eel",
+    "coho",
+    "rock beauty",
+    "anemone fish",
+    "sturgeon",
+    "gar",
+    "lionfish",
+    "puffer",
+    "abacus",
+    "abaya",
+    "academic gown",
+    "accordion",
+    "acoustic guitar",
+    "aircraft carrier",
+    "airliner",
+    "airship",
+    "altar",
+    "ambulance",
+    "amphibian",
+    "analog clock",
+    "apiary",
+    "apron",
+    "ashcan",
+    "assault rifle",
+    "backpack",
+    "bakery",
+    "balance beam",
+    "balloon",
+    "ballpoint",
+    "band aid",
+    "banjo",
+    "bannister",
+    "barbell",
+    "barber chair",
+    "barbershop",
+    "barn",
+    "barometer",
+    "barrel",
+    "barrow",
+    "baseball",
+    "basketball",
+    "bassinet",
+    "bassoon",
+    "bathing cap",
+    "bath towel",
+    "bathtub",
+    "beach wagon",
+    "beacon",
+    "beaker",
+    "bearskin",
+    "beer bottle",
+    "beer glass",
+    "bell cote",
+    "bib",
+    "bicycle-built-for-two",
+    "bikini",
+    "binder",
+    "binoculars",
+    "birdhouse",
+    "boathouse",
+    "bobsled",
+    "bolo tie",
+    "bonnet",
+    "bookcase",
+    "bookshop",
+    "bottlecap",
+    "bow",
+    "bow tie",
+    "brass",
+    "brassiere",
+    "breakwater",
+    "breastplate",
+    "broom",
+    "bucket",
+    "buckle",
+    "bulletproof vest",
+    "bullet train",
+    "butcher shop",
+    "cab",
+    "caldron",
+    "candle",
+    "cannon",
+    "canoe",
+    "can opener",
+    "cardigan",
+    "car mirror",
+    "carousel",
+    "carpenter's kit",
+    "carton",
+    "car wheel",
+    "cash machine",
+    "cassette",
+    "cassette player",
+    "castle",
+    "catamaran",
+    "cd player",
+    "cello",
+    "cellular telephone",
+    "chain",
+    "chainlink fence",
+    "chain mail",
+    "chain saw",
+    "chest",
+    "chiffonier",
+    "chime",
+    "china cabinet",
+    "christmas stocking",
+    "church",
+    "cinema",
+    "cleaver",
+    "cliff dwelling",
+    "cloak",
+    "clog",
+    "cocktail shaker",
+    "coffee mug",
+    "coffeepot",
+    "coil",
+    "combination lock",
+    "computer keyboard",
+    "confectionery",
+    "container ship",
+    "convertible",
+    "corkscrew",
+    "cornet",
+    "cowboy boot",
+    "cowboy hat",
+    "cradle",
+    "crane",
+    "crash helmet",
+    "crate",
+    "crib",
+    "crock pot",
+    "croquet ball",
+    "crutch",
+    "cuirass",
+    "dam",
+    "desk",
+    "desktop computer",
+    "dial telephone",
+    "diaper",
+    "digital clock",
+    "digital watch",
+    "dining table",
+    "dishrag",
+    "dishwasher",
+    "disk brake",
+    "dock",
+    "dogsled",
+    "dome",
+    "doormat",
+    "drilling platform",
+    "drum",
+    "drumstick",
+    "dumbbell",
+    "dutch oven",
+    "electric fan",
+    "electric guitar",
+    "electric locomotive",
+    "entertainment center",
+    "envelope",
+    "espresso maker",
+    "face powder",
+    "feather boa",
+    "file",
+    "fireboat",
+    "fire engine",
+    "fire screen",
+    "flagpole",
+    "flute",
+    "folding chair",
+    "football helmet",
+    "forklift",
+    "fountain",
+    "fountain pen",
+    "four-poster",
+    "freight car",
+    "french horn",
+    "frying pan",
+    "fur coat",
+    "garbage truck",
+    "gasmask",
+    "gas pump",
+    "goblet",
+    "go-kart",
+    "golf ball",
+    "golfcart",
+    "gondola",
+    "gong",
+    "gown",
+    "grand piano",
+    "greenhouse",
+    "grille",
+    "grocery store",
+    "guillotine",
+    "hair slide",
+    "hair spray",
+    "half track",
+    "hammer",
+    "hamper",
+    "hand blower",
+    "hand-held computer",
+    "handkerchief",
+    "hard disc",
+    "harmonica",
+    "harp",
+    "harvester",
+    "hatchet",
+    "holster",
+    "home theater",
+    "honeycomb",
+    "hook",
+    "hoopskirt",
+    "horizontal bar",
+    "horse cart",
+    "hourglass",
+    "ipod",
+    "iron",
+    "jack-o'-lantern",
+    "jean",
+    "jeep",
+    "jersey",
+    "jigsaw puzzle",
+    "jinrikisha",
+    "joystick",
+    "kimono",
+    "knee pad",
+    "knot",
+    "lab coat",
+    "ladle",
+    "lampshade",
+    "laptop",
+    "lawn mower",
+    "lens cap",
+    "letter opener",
+    "library",
+    "lifeboat",
+    "lighter",
+    "limousine",
+    "liner",
+    "lipstick",
+    "loafer",
+    "lotion",
+    "loudspeaker",
+    "loupe",
+    "lumbermill",
+    "magnetic compass",
+    "mailbag",
+    "mailbox",
+    "maillot",
+    "maillot",
+    "manhole cover",
+    "maraca",
+    "marimba",
+    "mask",
+    "matchstick",
+    "maypole",
+    "maze",
+    "measuring cup",
+    "medicine chest",
+    "megalith",
+    "microphone",
+    "microwave",
+    "military uniform",
+    "milk can",
+    "minibus",
+    "miniskirt",
+    "minivan",
+    "missile",
+    "mitten",
+    "mixing bowl",
+    "mobile home",
+    "model t",
+    "modem",
+    "monastery",
+    "monitor",
+    "moped",
+    "mortar",
+    "mortarboard",
+    "mosque",
+    "mosquito net",
+    "motor scooter",
+    "mountain bike",
+    "mountain tent",
+    "mouse",
+    "mousetrap",
+    "moving van",
+    "muzzle",
+    "nail",
+    "neck brace",
+    "necklace",
+    "nipple",
+    "notebook",
+    "obelisk",
+    "oboe",
+    "ocarina",
+    "odometer",
+    "oil filter",
+    "organ",
+    "oscilloscope",
+    "overskirt",
+    "oxcart",
+    "oxygen mask",
+    "packet",
+    "paddle",
+    "paddlewheel",
+    "padlock",
+    "paintbrush",
+    "pajama",
+    "palace",
+    "panpipe",
+    "paper towel",
+    "parachute",
+    "parallel bars",
+    "park bench",
+    "parking meter",
+    "passenger car",
+    "patio",
+    "pay-phone",
+    "pedestal",
+    "pencil box",
+    "pencil sharpener",
+    "perfume",
+    "petri dish",
+    "photocopier",
+    "pick",
+    "pickelhaube",
+    "picket fence",
+    "pickup",
+    "pier",
+    "piggy bank",
+    "pill bottle",
+    "pillow",
+    "ping-pong ball",
+    "pinwheel",
+    "pirate",
+    "pitcher",
+    "plane",
+    "planetarium",
+    "plastic bag",
+    "plate rack",
+    "plow",
+    "plunger",
+    "polaroid camera",
+    "pole",
+    "police van",
+    "poncho",
+    "pool table",
+    "pop bottle",
+    "pot",
+    "potter's wheel",
+    "power drill",
+    "prayer rug",
+    "printer",
+    "prison",
+    "projectile",
+    "projector",
+    "puck",
+    "punching bag",
+    "purse",
+    "quill",
+    "quilt",
+    "racer",
+    "racket",
+    "radiator",
+    "radio",
+    "radio telescope",
+    "rain barrel",
+    "recreational vehicle",
+    "reel",
+    "reflex camera",
+    "refrigerator",
+    "remote control",
+    "restaurant",
+    "revolver",
+    "rifle",
+    "rocking chair",
+    "rotisserie",
+    "rubber eraser",
+    "rugby ball",
+    "rule",
+    "running shoe",
+    "safe",
+    "safety pin",
+    "saltshaker",
+    "sandal",
+    "sarong",
+    "sax",
+    "scabbard",
+    "scale",
+    "school bus",
+    "schooner",
+    "scoreboard",
+    "screen",
+    "screw",
+    "screwdriver",
+    "seat belt",
+    "sewing machine",
+    "shield",
+    "shoe shop",
+    "shoji",
+    "shopping basket",
+    "shopping cart",
+    "shovel",
+    "shower cap",
+    "shower curtain",
+    "ski",
+    "ski mask",
+    "sleeping bag",
+    "slide rule",
+    "sliding door",
+    "slot",
+    "snorkel",
+    "snowmobile",
+    "snowplow",
+    "soap dispenser",
+    "soccer ball",
+    "sock",
+    "solar dish",
+    "sombrero",
+    "soup bowl",
+    "space bar",
+    "space heater",
+    "space shuttle",
+    "spatula",
+    "speedboat",
+    "spider web",
+    "spindle",
+    "sports car",
+    "spotlight",
+    "stage",
+    "steam locomotive",
+    "steel arch bridge",
+    "steel drum",
+    "stethoscope",
+    "stole",
+    "stone wall",
+    "stopwatch",
+    "stove",
+    "strainer",
+    "streetcar",
+    "stretcher",
+    "studio couch",
+    "stupa",
+    "submarine",
+    "suit",
+    "sundial",
+    "sunglass",
+    "sunglasses",
+    "sunscreen",
+    "suspension bridge",
+    "swab",
+    "sweatshirt",
+    "swimming trunks",
+    "swing",
+    "switch",
+    "syringe",
+    "table lamp",
+    "tank",
+    "tape player",
+    "teapot",
+    "teddy",
+    "television",
+    "tennis ball",
+    "thatch",
+    "theater curtain",
+    "thimble",
+    "thresher",
+    "throne",
+    "tile roof",
+    "toaster",
+    "tobacco shop",
+    "toilet seat",
+    "torch",
+    "totem pole",
+    "tow truck",
+    "toyshop",
+    "tractor",
+    "trailer truck",
+    "tray",
+    "trench coat",
+    "tricycle",
+    "trimaran",
+    "tripod",
+    "triumphal arch",
+    "trolleybus",
+    "trombone",
+    "tub",
+    "turnstile",
+    "typewriter keyboard",
+    "umbrella",
+    "unicycle",
+    "upright",
+    "vacuum",
+    "vase",
+    "vault",
+    "velvet",
+    "vending machine",
+    "vestment",
+    "viaduct",
+    "violin",
+    "volleyball",
+    "waffle iron",
+    "wall clock",
+    "wallet",
+    "wardrobe",
+    "warplane",
+    "washbasin",
+    "washer",
+    "water bottle",
+    "water jug",
+    "water tower",
+    "whiskey jug",
+    "whistle",
+    "wig",
+    "window screen",
+    "window shade",
+    "windsor tie",
+    "wine bottle",
+    "wing",
+    "wok",
+    "wooden spoon",
+    "wool",
+    "worm fence",
+    "wreck",
+    "yawl",
+    "yurt",
+    "web site",
+    "comic book",
+    "crossword puzzle",
+    "street sign",
+    "traffic light",
+    "book jacket",
+    "menu",
+    "plate",
+    "guacamole",
+    "consomme",
+    "hot pot",
+    "trifle",
+    "ice cream",
+    "ice lolly",
+    "french loaf",
+    "bagel",
+    "pretzel",
+    "cheeseburger",
+    "hotdog",
+    "mashed potato",
+    "head cabbage",
+    "broccoli",
+    "cauliflower",
+    "zucchini",
+    "spaghetti squash",
+    "acorn squash",
+    "butternut squash",
+    "cucumber",
+    "artichoke",
+    "bell pepper",
+    "cardoon",
+    "mushroom",
+    "granny smith",
+    "strawberry",
+    "orange",
+    "lemon",
+    "fig",
+    "pineapple",
+    "banana",
+    "jackfruit",
+    "custard apple",
+    "pomegranate",
+    "hay",
+    "carbonara",
+    "chocolate sauce",
+    "dough",
+    "meat loaf",
+    "pizza",
+    "potpie",
+    "burrito",
+    "red wine",
+    "espresso",
+    "cup",
+    "eggnog",
+    "alp",
+    "bubble",
+    "cliff",
+    "coral reef",
+    "geyser",
+    "lakeside",
+    "promontory",
+    "sandbar",
+    "seashore",
+    "valley",
+    "volcano",
+    "ballplayer",
+    "groom",
+    "scuba diver",
+    "rapeseed",
+    "daisy",
+    "yellow lady's slipper",
+    "corn",
+    "acorn",
+    "hip",
+    "buckeye",
+    "coral fungus",
+    "agaric",
+    "gyromitra",
+    "stinkhorn",
+    "earthstar",
+    "hen-of-the-woods",
+    "bolete",
+    "ear",
+    "toilet tissue",
+];
diff --git a/benchmarks/inference_tract/mobile_net_v2_onnx_benchmark.stderr.expected.todo b/benchmarks/inference_tract/mobile_net_v2_onnx_benchmark.stderr.expected.todo
new file mode 100644
index 0000000..e69de29
diff --git a/benchmarks/inference_tract/mobile_net_v2_onnx_benchmark.stdout.expected.todo b/benchmarks/inference_tract/mobile_net_v2_onnx_benchmark.stdout.expected.todo
new file mode 100644
index 0000000..d319a28
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_onnx_benchmark.stdout.expected.todo
@@ -0,0 +1 @@
+[Classification { label: "tiger", score: 17.559244 }, Classification { label: "tiger cat", score: 14.740076 }, Classification { label: "zebra", score: 12.357242 }]
diff --git a/benchmarks/inference_tract/mobile_net_v2_onnx_benchmark.wasm b/benchmarks/inference_tract/mobile_net_v2_onnx_benchmark.wasm
new file mode 100755
index 0000000..8c722d2
Binary files /dev/null and b/benchmarks/inference_tract/mobile_net_v2_onnx_benchmark.wasm differ
diff --git a/benchmarks/inference_tract/mobile_net_v2_onnx_native.patch b/benchmarks/inference_tract/mobile_net_v2_onnx_native.patch
new file mode 100644
index 0000000..cb18d9a
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_onnx_native.patch
@@ -0,0 +1,58 @@
+diff --git a/Cargo.toml b/Cargo.toml
+index fb51d03..2bcee0e 100644
+--- a/Cargo.toml
++++ b/Cargo.toml
+@@ -15,3 +15,8 @@ tract-onnx = "0.21.5"
+
+ [profile.release]
+ strip = 'debuginfo'
++
++[workspace]
++
++[lib]
++crate-type = ["cdylib"]
+\ No newline at end of file
+diff --git a/build.rs b/build.rs
+index 992f0b8..36b36d0 100644
+--- a/build.rs
++++ b/build.rs
+@@ -24,4 +24,7 @@ fn main() {
+     }
+
+     println!("cargo::rerun-if-changed=setup.sh");
++
++    // Link path for native library
++    println!("cargo:rustc-cdylib-link-arg=-L../../../engines/native/");
+ }
+diff --git a/src/main.rs b/src/main.rs
+index 6da3f8d..c54652f 100644
+--- a/src/main.rs
++++ b/src/main.rs
+@@ -80,12 +80,24 @@ fn classify(image: &[u8]) -> Result<Vec<Classification>, anyhow::Error> {
+     })
+ }
+
+-fn main() {
++#[link(name = "engine")]
++extern "C" {
++    fn bench_start() -> ();
++    fn bench_end() -> ();
++}
++
++#[no_mangle]
++pub extern "C" fn native_entry() {
+     setup().unwrap();
+     let image = std::fs::read(IMAGE_PATH).unwrap();
+-    bench::start();
++    unsafe {
++        bench_start();
++    }
++
+     let result = classify(&image).unwrap();
+-    bench::end();
++    unsafe {
++        bench_end();
++    }
+     assert_eq!(result[0].label, "tiger");
+     println!("{:?}", result);
+ }
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new file mode 100644
index 0000000..bface9a
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+ "windows_x86_64_gnu",
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+ "rustix",
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diff --git a/benchmarks/inference_tract/mobile_net_v2_tensorflow/Cargo.toml b/benchmarks/inference_tract/mobile_net_v2_tensorflow/Cargo.toml
new file mode 100644
index 0000000..807bbc5
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_tensorflow/Cargo.toml
@@ -0,0 +1,18 @@
+[package]
+name = "benchmark"
+version = "0.1.0"
+edition = "2021"
+
+# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+
+[dependencies]
+sightglass-api = "0.1.0"
+anyhow = "1.0"
+bytes = "1.5.0"
+prost = "0.11.0"
+image = { version = "0.25.1", features = ["png"], default-features = false }
+tract-tensorflow = "0.21.5"
+
+[profile.release]
+strip = 'debuginfo'
+
diff --git a/benchmarks/inference_tract/mobile_net_v2_tensorflow/build.rs b/benchmarks/inference_tract/mobile_net_v2_tensorflow/build.rs
new file mode 100644
index 0000000..992f0b8
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_tensorflow/build.rs
@@ -0,0 +1,27 @@
+use std::process::Command;
+
+fn main() {
+    // Run the setup.sh to download the model
+    let output = Command::new("bash")
+        .arg("./setup.sh")
+        .output()
+        .expect("Failed to execute setup.sh");
+
+    // Print the output of the download attempt
+    if !output.stdout.is_empty() {
+        println!("{}", String::from_utf8_lossy(&output.stdout));
+    }
+
+    // Check if the download was successful and print the error if not
+    if output.status.success() {
+        println!("setup.sh executed successfully");
+        println!("cargo:note=setup.sh executed successfully.");
+    } else {
+        let error_message = String::from_utf8_lossy(&output.stderr);
+        eprintln!("cargo:note=Failed to execute setup.sh: {}", error_message);
+        eprintln!("Failed to execute setup.sh: {}", error_message);
+        std::process::exit(1);
+    }
+
+    println!("cargo::rerun-if-changed=setup.sh");
+}
diff --git a/benchmarks/inference_tract/mobile_net_v2_tensorflow/setup.sh b/benchmarks/inference_tract/mobile_net_v2_tensorflow/setup.sh
new file mode 100755
index 0000000..87393f5
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_tensorflow/setup.sh
@@ -0,0 +1,21 @@
+#!/bin/bash
+
+set -euxo pipefail
+
+MODEL_URL="https://storage.googleapis.com/mobilenet_v2/checkpoints/mobilenet_v2_1.4_224.tgz"
+MODEL_DIR="assets/"
+MODEL_FILE="mobilenet_v2_1.4_224_frozen.pb"
+
+mkdir -p assets
+
+if [ ! -f $MODEL_DIR/$MODEL_FILE ]; then
+	echo "Downloading model to $MODEL_DIR/$MODEL_FILE"
+	if which wget >/dev/null ; then
+	wget -qO- $MODEL_URL | tar xvz -C $MODEL_DIR
+	elif which curl >/dev/null ; then
+	curl -sL $MODEL_URL | tar xvz -C $MODEL_DIR
+	else
+	echo "Couldn't find wget or curl."
+	echo "Please download manually from \"$MODEL_URL\" and save the file in $MODEL_DIR."
+	fi
+fi
diff --git a/benchmarks/inference_tract/mobile_net_v2_tensorflow/src/main.rs b/benchmarks/inference_tract/mobile_net_v2_tensorflow/src/main.rs
new file mode 100644
index 0000000..4ebd1d2
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_tensorflow/src/main.rs
@@ -0,0 +1,1098 @@
+use prost::Message;
+use sightglass_api as bench;
+use std::cell::RefCell;
+use tract_tensorflow::prelude::*;
+
+const IMAGE_PATH: &str = "input.png";
+
+#[derive(Debug)]
+struct Classification {
+    label: String,
+    #[allow(dead_code)]
+    score: f32,
+}
+
+type Model = SimplePlan<TypedFact, Box<dyn TypedOp>, Graph<TypedFact, Box<dyn TypedOp>>>;
+
+thread_local! {
+    static MODEL: RefCell<Option<Model>> = RefCell::new(None);
+}
+
+/// An image classification model trained on ImageNet dataset.
+/// The model itself is not included in the source code of this example.
+/// If you see a compile error here, then download the model from:
+/// https://github.com/onnx/models/tree/main/validated/vision/classification/mobilenet
+/// See the `setup.sh` script for details.
+const IMAGENET: &'static [u8] = include_bytes!("./../assets/mobilenet_v2_1.4_224_frozen.pb");
+
+/// Constructs a runnable model from the serialized Tensorflow model.
+fn setup() -> TractResult<()> {
+    // Get the model from static memory
+    let bytes = bytes::Bytes::from_static(IMAGENET);
+    let proto: tract_tensorflow::tfpb::tensorflow::GraphDef =
+        tract_tensorflow::tfpb::tensorflow::GraphDef::decode(bytes)?;
+
+    // Specify the input type, optimize and make the model runnable.
+    let model = tract_tensorflow::tensorflow()
+        .model_for_proto_model(&proto)?
+        .with_input_fact(0, f32::fact(&[1, 224, 224, 3]).into())?
+        .into_optimized()?
+        .into_runnable()?;
+    MODEL.with_borrow_mut(|m| {
+        *m = Some(model);
+    });
+    Ok(())
+}
+
+/// Runs the model on the given image and returns top three labels.
+fn classify(image: &[u8]) -> Result<Vec<Classification>, anyhow::Error> {
+    MODEL.with_borrow(|model| {
+        let model = model.as_ref().unwrap();
+        let image = image::load_from_memory(&image)?.to_rgb8();
+
+        // Preprocess the input
+        let resized =
+            image::imageops::resize(&image, 224, 224, ::image::imageops::FilterType::Triangle);
+
+        let tensor = tract_ndarray::Array4::from_shape_fn((1, 224, 224, 3), |(_, y, x, c)| {
+            resized[(x as _, y as _)][c] as f32 / 255.0
+        });
+
+        let result = model.run(tvec!(Tensor::from(tensor).into()))?;
+
+        let mut scores: Vec<_> = result[0]
+            .to_array_view::<f32>()?
+            .into_iter()
+            .zip(0..)
+            .collect();
+
+        scores.sort_by(|a, b| b.0.partial_cmp(&a.0).unwrap());
+
+        let labels = scores
+            .iter()
+            .take(3)
+            .map(|(score, i)| Classification {
+                label: LABELS[*i as usize].to_string(),
+                score: **score,
+            })
+            .collect();
+
+        Ok(labels)
+    })
+}
+
+fn main() {
+    setup().unwrap();
+    let image = std::fs::read(IMAGE_PATH).unwrap();
+    bench::start();
+    let result = classify(&image).unwrap();
+    bench::end();
+    assert_eq!(result[0].label, "tiger");
+    println!("{:?}", result);
+}
+
+/// The set of 1001 ImageNet class labels.
+/// https://storage.googleapis.com/download.tensorflow.org/data/ImageNetLabels.txt
+const LABELS: [&'static str; 1001] = [
+    "background",
+    "tench",
+    "goldfish",
+    "great white shark",
+    "tiger shark",
+    "hammerhead",
+    "electric ray",
+    "stingray",
+    "cock",
+    "hen",
+    "ostrich",
+    "brambling",
+    "goldfinch",
+    "house finch",
+    "junco",
+    "indigo bunting",
+    "robin",
+    "bulbul",
+    "jay",
+    "magpie",
+    "chickadee",
+    "water ouzel",
+    "kite",
+    "bald eagle",
+    "vulture",
+    "great grey owl",
+    "european fire salamander",
+    "common newt",
+    "eft",
+    "spotted salamander",
+    "axolotl",
+    "bullfrog",
+    "tree frog",
+    "tailed frog",
+    "loggerhead",
+    "leatherback turtle",
+    "mud turtle",
+    "terrapin",
+    "box turtle",
+    "banded gecko",
+    "common iguana",
+    "american chameleon",
+    "whiptail",
+    "agama",
+    "frilled lizard",
+    "alligator lizard",
+    "gila monster",
+    "green lizard",
+    "african chameleon",
+    "komodo dragon",
+    "african crocodile",
+    "american alligator",
+    "triceratops",
+    "thunder snake",
+    "ringneck snake",
+    "hognose snake",
+    "green snake",
+    "king snake",
+    "garter snake",
+    "water snake",
+    "vine snake",
+    "night snake",
+    "boa constrictor",
+    "rock python",
+    "indian cobra",
+    "green mamba",
+    "sea snake",
+    "horned viper",
+    "diamondback",
+    "sidewinder",
+    "trilobite",
+    "harvestman",
+    "scorpion",
+    "black and gold garden spider",
+    "barn spider",
+    "garden spider",
+    "black widow",
+    "tarantula",
+    "wolf spider",
+    "tick",
+    "centipede",
+    "black grouse",
+    "ptarmigan",
+    "ruffed grouse",
+    "prairie chicken",
+    "peacock",
+    "quail",
+    "partridge",
+    "african grey",
+    "macaw",
+    "sulphur-crested cockatoo",
+    "lorikeet",
+    "coucal",
+    "bee eater",
+    "hornbill",
+    "hummingbird",
+    "jacamar",
+    "toucan",
+    "drake",
+    "red-breasted merganser",
+    "goose",
+    "black swan",
+    "tusker",
+    "echidna",
+    "platypus",
+    "wallaby",
+    "koala",
+    "wombat",
+    "jellyfish",
+    "sea anemone",
+    "brain coral",
+    "flatworm",
+    "nematode",
+    "conch",
+    "snail",
+    "slug",
+    "sea slug",
+    "chiton",
+    "chambered nautilus",
+    "dungeness crab",
+    "rock crab",
+    "fiddler crab",
+    "king crab",
+    "american lobster",
+    "spiny lobster",
+    "crayfish",
+    "hermit crab",
+    "isopod",
+    "white stork",
+    "black stork",
+    "spoonbill",
+    "flamingo",
+    "little blue heron",
+    "american egret",
+    "bittern",
+    "crane",
+    "limpkin",
+    "european gallinule",
+    "american coot",
+    "bustard",
+    "ruddy turnstone",
+    "red-backed sandpiper",
+    "redshank",
+    "dowitcher",
+    "oystercatcher",
+    "pelican",
+    "king penguin",
+    "albatross",
+    "grey whale",
+    "killer whale",
+    "dugong",
+    "sea lion",
+    "chihuahua",
+    "japanese spaniel",
+    "maltese dog",
+    "pekinese",
+    "shih-tzu",
+    "blenheim spaniel",
+    "papillon",
+    "toy terrier",
+    "rhodesian ridgeback",
+    "afghan hound",
+    "basset",
+    "beagle",
+    "bloodhound",
+    "bluetick",
+    "black-and-tan coonhound",
+    "walker hound",
+    "english foxhound",
+    "redbone",
+    "borzoi",
+    "irish wolfhound",
+    "italian greyhound",
+    "whippet",
+    "ibizan hound",
+    "norwegian elkhound",
+    "otterhound",
+    "saluki",
+    "scottish deerhound",
+    "weimaraner",
+    "staffordshire bullterrier",
+    "american staffordshire terrier",
+    "bedlington terrier",
+    "border terrier",
+    "kerry blue terrier",
+    "irish terrier",
+    "norfolk terrier",
+    "norwich terrier",
+    "yorkshire terrier",
+    "wire-haired fox terrier",
+    "lakeland terrier",
+    "sealyham terrier",
+    "airedale",
+    "cairn",
+    "australian terrier",
+    "dandie dinmont",
+    "boston bull",
+    "miniature schnauzer",
+    "giant schnauzer",
+    "standard schnauzer",
+    "scotch terrier",
+    "tibetan terrier",
+    "silky terrier",
+    "soft-coated wheaten terrier",
+    "west highland white terrier",
+    "lhasa",
+    "flat-coated retriever",
+    "curly-coated retriever",
+    "golden retriever",
+    "labrador retriever",
+    "chesapeake bay retriever",
+    "german short-haired pointer",
+    "vizsla",
+    "english setter",
+    "irish setter",
+    "gordon setter",
+    "brittany spaniel",
+    "clumber",
+    "english springer",
+    "welsh springer spaniel",
+    "cocker spaniel",
+    "sussex spaniel",
+    "irish water spaniel",
+    "kuvasz",
+    "schipperke",
+    "groenendael",
+    "malinois",
+    "briard",
+    "kelpie",
+    "komondor",
+    "old english sheepdog",
+    "shetland sheepdog",
+    "collie",
+    "border collie",
+    "bouvier des flandres",
+    "rottweiler",
+    "german shepherd",
+    "doberman",
+    "miniature pinscher",
+    "greater swiss mountain dog",
+    "bernese mountain dog",
+    "appenzeller",
+    "entlebucher",
+    "boxer",
+    "bull mastiff",
+    "tibetan mastiff",
+    "french bulldog",
+    "great dane",
+    "saint bernard",
+    "eskimo dog",
+    "malamute",
+    "siberian husky",
+    "dalmatian",
+    "affenpinscher",
+    "basenji",
+    "pug",
+    "leonberg",
+    "newfoundland",
+    "great pyrenees",
+    "samoyed",
+    "pomeranian",
+    "chow",
+    "keeshond",
+    "brabancon griffon",
+    "pembroke",
+    "cardigan",
+    "toy poodle",
+    "miniature poodle",
+    "standard poodle",
+    "mexican hairless",
+    "timber wolf",
+    "white wolf",
+    "red wolf",
+    "coyote",
+    "dingo",
+    "dhole",
+    "african hunting dog",
+    "hyena",
+    "red fox",
+    "kit fox",
+    "arctic fox",
+    "grey fox",
+    "tabby",
+    "tiger cat",
+    "persian cat",
+    "siamese cat",
+    "egyptian cat",
+    "cougar",
+    "lynx",
+    "leopard",
+    "snow leopard",
+    "jaguar",
+    "lion",
+    "tiger",
+    "cheetah",
+    "brown bear",
+    "american black bear",
+    "ice bear",
+    "sloth bear",
+    "mongoose",
+    "meerkat",
+    "tiger beetle",
+    "ladybug",
+    "ground beetle",
+    "long-horned beetle",
+    "leaf beetle",
+    "dung beetle",
+    "rhinoceros beetle",
+    "weevil",
+    "fly",
+    "bee",
+    "ant",
+    "grasshopper",
+    "cricket",
+    "walking stick",
+    "cockroach",
+    "mantis",
+    "cicada",
+    "leafhopper",
+    "lacewing",
+    "dragonfly",
+    "damselfly",
+    "admiral",
+    "ringlet",
+    "monarch",
+    "cabbage butterfly",
+    "sulphur butterfly",
+    "lycaenid",
+    "starfish",
+    "sea urchin",
+    "sea cucumber",
+    "wood rabbit",
+    "hare",
+    "angora",
+    "hamster",
+    "porcupine",
+    "fox squirrel",
+    "marmot",
+    "beaver",
+    "guinea pig",
+    "sorrel",
+    "zebra",
+    "hog",
+    "wild boar",
+    "warthog",
+    "hippopotamus",
+    "ox",
+    "water buffalo",
+    "bison",
+    "ram",
+    "bighorn",
+    "ibex",
+    "hartebeest",
+    "impala",
+    "gazelle",
+    "arabian camel",
+    "llama",
+    "weasel",
+    "mink",
+    "polecat",
+    "black-footed ferret",
+    "otter",
+    "skunk",
+    "badger",
+    "armadillo",
+    "three-toed sloth",
+    "orangutan",
+    "gorilla",
+    "chimpanzee",
+    "gibbon",
+    "siamang",
+    "guenon",
+    "patas",
+    "baboon",
+    "macaque",
+    "langur",
+    "colobus",
+    "proboscis monkey",
+    "marmoset",
+    "capuchin",
+    "howler monkey",
+    "titi",
+    "spider monkey",
+    "squirrel monkey",
+    "madagascar cat",
+    "indri",
+    "indian elephant",
+    "african elephant",
+    "lesser panda",
+    "giant panda",
+    "barracouta",
+    "eel",
+    "coho",
+    "rock beauty",
+    "anemone fish",
+    "sturgeon",
+    "gar",
+    "lionfish",
+    "puffer",
+    "abacus",
+    "abaya",
+    "academic gown",
+    "accordion",
+    "acoustic guitar",
+    "aircraft carrier",
+    "airliner",
+    "airship",
+    "altar",
+    "ambulance",
+    "amphibian",
+    "analog clock",
+    "apiary",
+    "apron",
+    "ashcan",
+    "assault rifle",
+    "backpack",
+    "bakery",
+    "balance beam",
+    "balloon",
+    "ballpoint",
+    "band aid",
+    "banjo",
+    "bannister",
+    "barbell",
+    "barber chair",
+    "barbershop",
+    "barn",
+    "barometer",
+    "barrel",
+    "barrow",
+    "baseball",
+    "basketball",
+    "bassinet",
+    "bassoon",
+    "bathing cap",
+    "bath towel",
+    "bathtub",
+    "beach wagon",
+    "beacon",
+    "beaker",
+    "bearskin",
+    "beer bottle",
+    "beer glass",
+    "bell cote",
+    "bib",
+    "bicycle-built-for-two",
+    "bikini",
+    "binder",
+    "binoculars",
+    "birdhouse",
+    "boathouse",
+    "bobsled",
+    "bolo tie",
+    "bonnet",
+    "bookcase",
+    "bookshop",
+    "bottlecap",
+    "bow",
+    "bow tie",
+    "brass",
+    "brassiere",
+    "breakwater",
+    "breastplate",
+    "broom",
+    "bucket",
+    "buckle",
+    "bulletproof vest",
+    "bullet train",
+    "butcher shop",
+    "cab",
+    "caldron",
+    "candle",
+    "cannon",
+    "canoe",
+    "can opener",
+    "cardigan",
+    "car mirror",
+    "carousel",
+    "carpenter's kit",
+    "carton",
+    "car wheel",
+    "cash machine",
+    "cassette",
+    "cassette player",
+    "castle",
+    "catamaran",
+    "cd player",
+    "cello",
+    "cellular telephone",
+    "chain",
+    "chainlink fence",
+    "chain mail",
+    "chain saw",
+    "chest",
+    "chiffonier",
+    "chime",
+    "china cabinet",
+    "christmas stocking",
+    "church",
+    "cinema",
+    "cleaver",
+    "cliff dwelling",
+    "cloak",
+    "clog",
+    "cocktail shaker",
+    "coffee mug",
+    "coffeepot",
+    "coil",
+    "combination lock",
+    "computer keyboard",
+    "confectionery",
+    "container ship",
+    "convertible",
+    "corkscrew",
+    "cornet",
+    "cowboy boot",
+    "cowboy hat",
+    "cradle",
+    "crane",
+    "crash helmet",
+    "crate",
+    "crib",
+    "crock pot",
+    "croquet ball",
+    "crutch",
+    "cuirass",
+    "dam",
+    "desk",
+    "desktop computer",
+    "dial telephone",
+    "diaper",
+    "digital clock",
+    "digital watch",
+    "dining table",
+    "dishrag",
+    "dishwasher",
+    "disk brake",
+    "dock",
+    "dogsled",
+    "dome",
+    "doormat",
+    "drilling platform",
+    "drum",
+    "drumstick",
+    "dumbbell",
+    "dutch oven",
+    "electric fan",
+    "electric guitar",
+    "electric locomotive",
+    "entertainment center",
+    "envelope",
+    "espresso maker",
+    "face powder",
+    "feather boa",
+    "file",
+    "fireboat",
+    "fire engine",
+    "fire screen",
+    "flagpole",
+    "flute",
+    "folding chair",
+    "football helmet",
+    "forklift",
+    "fountain",
+    "fountain pen",
+    "four-poster",
+    "freight car",
+    "french horn",
+    "frying pan",
+    "fur coat",
+    "garbage truck",
+    "gasmask",
+    "gas pump",
+    "goblet",
+    "go-kart",
+    "golf ball",
+    "golfcart",
+    "gondola",
+    "gong",
+    "gown",
+    "grand piano",
+    "greenhouse",
+    "grille",
+    "grocery store",
+    "guillotine",
+    "hair slide",
+    "hair spray",
+    "half track",
+    "hammer",
+    "hamper",
+    "hand blower",
+    "hand-held computer",
+    "handkerchief",
+    "hard disc",
+    "harmonica",
+    "harp",
+    "harvester",
+    "hatchet",
+    "holster",
+    "home theater",
+    "honeycomb",
+    "hook",
+    "hoopskirt",
+    "horizontal bar",
+    "horse cart",
+    "hourglass",
+    "ipod",
+    "iron",
+    "jack-o'-lantern",
+    "jean",
+    "jeep",
+    "jersey",
+    "jigsaw puzzle",
+    "jinrikisha",
+    "joystick",
+    "kimono",
+    "knee pad",
+    "knot",
+    "lab coat",
+    "ladle",
+    "lampshade",
+    "laptop",
+    "lawn mower",
+    "lens cap",
+    "letter opener",
+    "library",
+    "lifeboat",
+    "lighter",
+    "limousine",
+    "liner",
+    "lipstick",
+    "loafer",
+    "lotion",
+    "loudspeaker",
+    "loupe",
+    "lumbermill",
+    "magnetic compass",
+    "mailbag",
+    "mailbox",
+    "maillot",
+    "maillot",
+    "manhole cover",
+    "maraca",
+    "marimba",
+    "mask",
+    "matchstick",
+    "maypole",
+    "maze",
+    "measuring cup",
+    "medicine chest",
+    "megalith",
+    "microphone",
+    "microwave",
+    "military uniform",
+    "milk can",
+    "minibus",
+    "miniskirt",
+    "minivan",
+    "missile",
+    "mitten",
+    "mixing bowl",
+    "mobile home",
+    "model t",
+    "modem",
+    "monastery",
+    "monitor",
+    "moped",
+    "mortar",
+    "mortarboard",
+    "mosque",
+    "mosquito net",
+    "motor scooter",
+    "mountain bike",
+    "mountain tent",
+    "mouse",
+    "mousetrap",
+    "moving van",
+    "muzzle",
+    "nail",
+    "neck brace",
+    "necklace",
+    "nipple",
+    "notebook",
+    "obelisk",
+    "oboe",
+    "ocarina",
+    "odometer",
+    "oil filter",
+    "organ",
+    "oscilloscope",
+    "overskirt",
+    "oxcart",
+    "oxygen mask",
+    "packet",
+    "paddle",
+    "paddlewheel",
+    "padlock",
+    "paintbrush",
+    "pajama",
+    "palace",
+    "panpipe",
+    "paper towel",
+    "parachute",
+    "parallel bars",
+    "park bench",
+    "parking meter",
+    "passenger car",
+    "patio",
+    "pay-phone",
+    "pedestal",
+    "pencil box",
+    "pencil sharpener",
+    "perfume",
+    "petri dish",
+    "photocopier",
+    "pick",
+    "pickelhaube",
+    "picket fence",
+    "pickup",
+    "pier",
+    "piggy bank",
+    "pill bottle",
+    "pillow",
+    "ping-pong ball",
+    "pinwheel",
+    "pirate",
+    "pitcher",
+    "plane",
+    "planetarium",
+    "plastic bag",
+    "plate rack",
+    "plow",
+    "plunger",
+    "polaroid camera",
+    "pole",
+    "police van",
+    "poncho",
+    "pool table",
+    "pop bottle",
+    "pot",
+    "potter's wheel",
+    "power drill",
+    "prayer rug",
+    "printer",
+    "prison",
+    "projectile",
+    "projector",
+    "puck",
+    "punching bag",
+    "purse",
+    "quill",
+    "quilt",
+    "racer",
+    "racket",
+    "radiator",
+    "radio",
+    "radio telescope",
+    "rain barrel",
+    "recreational vehicle",
+    "reel",
+    "reflex camera",
+    "refrigerator",
+    "remote control",
+    "restaurant",
+    "revolver",
+    "rifle",
+    "rocking chair",
+    "rotisserie",
+    "rubber eraser",
+    "rugby ball",
+    "rule",
+    "running shoe",
+    "safe",
+    "safety pin",
+    "saltshaker",
+    "sandal",
+    "sarong",
+    "sax",
+    "scabbard",
+    "scale",
+    "school bus",
+    "schooner",
+    "scoreboard",
+    "screen",
+    "screw",
+    "screwdriver",
+    "seat belt",
+    "sewing machine",
+    "shield",
+    "shoe shop",
+    "shoji",
+    "shopping basket",
+    "shopping cart",
+    "shovel",
+    "shower cap",
+    "shower curtain",
+    "ski",
+    "ski mask",
+    "sleeping bag",
+    "slide rule",
+    "sliding door",
+    "slot",
+    "snorkel",
+    "snowmobile",
+    "snowplow",
+    "soap dispenser",
+    "soccer ball",
+    "sock",
+    "solar dish",
+    "sombrero",
+    "soup bowl",
+    "space bar",
+    "space heater",
+    "space shuttle",
+    "spatula",
+    "speedboat",
+    "spider web",
+    "spindle",
+    "sports car",
+    "spotlight",
+    "stage",
+    "steam locomotive",
+    "steel arch bridge",
+    "steel drum",
+    "stethoscope",
+    "stole",
+    "stone wall",
+    "stopwatch",
+    "stove",
+    "strainer",
+    "streetcar",
+    "stretcher",
+    "studio couch",
+    "stupa",
+    "submarine",
+    "suit",
+    "sundial",
+    "sunglass",
+    "sunglasses",
+    "sunscreen",
+    "suspension bridge",
+    "swab",
+    "sweatshirt",
+    "swimming trunks",
+    "swing",
+    "switch",
+    "syringe",
+    "table lamp",
+    "tank",
+    "tape player",
+    "teapot",
+    "teddy",
+    "television",
+    "tennis ball",
+    "thatch",
+    "theater curtain",
+    "thimble",
+    "thresher",
+    "throne",
+    "tile roof",
+    "toaster",
+    "tobacco shop",
+    "toilet seat",
+    "torch",
+    "totem pole",
+    "tow truck",
+    "toyshop",
+    "tractor",
+    "trailer truck",
+    "tray",
+    "trench coat",
+    "tricycle",
+    "trimaran",
+    "tripod",
+    "triumphal arch",
+    "trolleybus",
+    "trombone",
+    "tub",
+    "turnstile",
+    "typewriter keyboard",
+    "umbrella",
+    "unicycle",
+    "upright",
+    "vacuum",
+    "vase",
+    "vault",
+    "velvet",
+    "vending machine",
+    "vestment",
+    "viaduct",
+    "violin",
+    "volleyball",
+    "waffle iron",
+    "wall clock",
+    "wallet",
+    "wardrobe",
+    "warplane",
+    "washbasin",
+    "washer",
+    "water bottle",
+    "water jug",
+    "water tower",
+    "whiskey jug",
+    "whistle",
+    "wig",
+    "window screen",
+    "window shade",
+    "windsor tie",
+    "wine bottle",
+    "wing",
+    "wok",
+    "wooden spoon",
+    "wool",
+    "worm fence",
+    "wreck",
+    "yawl",
+    "yurt",
+    "web site",
+    "comic book",
+    "crossword puzzle",
+    "street sign",
+    "traffic light",
+    "book jacket",
+    "menu",
+    "plate",
+    "guacamole",
+    "consomme",
+    "hot pot",
+    "trifle",
+    "ice cream",
+    "ice lolly",
+    "french loaf",
+    "bagel",
+    "pretzel",
+    "cheeseburger",
+    "hotdog",
+    "mashed potato",
+    "head cabbage",
+    "broccoli",
+    "cauliflower",
+    "zucchini",
+    "spaghetti squash",
+    "acorn squash",
+    "butternut squash",
+    "cucumber",
+    "artichoke",
+    "bell pepper",
+    "cardoon",
+    "mushroom",
+    "granny smith",
+    "strawberry",
+    "orange",
+    "lemon",
+    "fig",
+    "pineapple",
+    "banana",
+    "jackfruit",
+    "custard apple",
+    "pomegranate",
+    "hay",
+    "carbonara",
+    "chocolate sauce",
+    "dough",
+    "meat loaf",
+    "pizza",
+    "potpie",
+    "burrito",
+    "red wine",
+    "espresso",
+    "cup",
+    "eggnog",
+    "alp",
+    "bubble",
+    "cliff",
+    "coral reef",
+    "geyser",
+    "lakeside",
+    "promontory",
+    "sandbar",
+    "seashore",
+    "valley",
+    "volcano",
+    "ballplayer",
+    "groom",
+    "scuba diver",
+    "rapeseed",
+    "daisy",
+    "yellow lady's slipper",
+    "corn",
+    "acorn",
+    "hip",
+    "buckeye",
+    "coral fungus",
+    "agaric",
+    "gyromitra",
+    "stinkhorn",
+    "earthstar",
+    "hen-of-the-woods",
+    "bolete",
+    "ear",
+    "toilet tissue",
+];
diff --git a/benchmarks/inference_tract/mobile_net_v2_tensorflow_benchmark.stderr.expected.todo b/benchmarks/inference_tract/mobile_net_v2_tensorflow_benchmark.stderr.expected.todo
new file mode 100644
index 0000000..e69de29
diff --git a/benchmarks/inference_tract/mobile_net_v2_tensorflow_benchmark.stdout.expected.todo b/benchmarks/inference_tract/mobile_net_v2_tensorflow_benchmark.stdout.expected.todo
new file mode 100644
index 0000000..6b6d768
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_tensorflow_benchmark.stdout.expected.todo
@@ -0,0 +1 @@
+[Classification { label: "tiger", score: 0.8626077 }, Classification { label: "zebra", score: 0.021600295 }, Classification { label: "tiger cat", score: 0.01782956 }]
\ No newline at end of file
diff --git a/benchmarks/inference_tract/mobile_net_v2_tensorflow_benchmark.wasm b/benchmarks/inference_tract/mobile_net_v2_tensorflow_benchmark.wasm
new file mode 100755
index 0000000..46fe110
Binary files /dev/null and b/benchmarks/inference_tract/mobile_net_v2_tensorflow_benchmark.wasm differ
diff --git a/benchmarks/inference_tract/mobile_net_v2_tensorflow_native.patch b/benchmarks/inference_tract/mobile_net_v2_tensorflow_native.patch
new file mode 100644
index 0000000..6aaf3ba
--- /dev/null
+++ b/benchmarks/inference_tract/mobile_net_v2_tensorflow_native.patch
@@ -0,0 +1,55 @@
+diff --git a/Cargo.toml b/Cargo.toml
+index 807bbc5..3478356 100644
+--- a/Cargo.toml
++++ b/Cargo.toml
+@@ -16,3 +16,7 @@ tract-tensorflow = "0.21.5"
+ [profile.release]
+ strip = 'debuginfo'
+ 
++[workspace]
++
++[lib]
++crate-type = ["cdylib"]
+diff --git a/build.rs b/build.rs
+index 992f0b8..36b36d0 100644
+--- a/build.rs
++++ b/build.rs
+@@ -24,4 +24,7 @@ fn main() {
+     }
+ 
+     println!("cargo::rerun-if-changed=setup.sh");
++
++    // Link path for native library
++    println!("cargo:rustc-cdylib-link-arg=-L../../../engines/native/");
+ }
+diff --git a/src/main.rs b/src/main.rs
+index 4ebd1d2..f7321e9 100644
+--- a/src/main.rs
++++ b/src/main.rs
+@@ -81,12 +81,23 @@ fn classify(image: &[u8]) -> Result<Vec<Classification>, anyhow::Error> {
+     })
+ }
+ 
+-fn main() {
++#[link(name = "engine")]
++extern "C" {
++    fn bench_start() -> ();
++    fn bench_end() -> ();
++}
++
++#[no_mangle]
++pub extern "C" fn native_entry() {
+     setup().unwrap();
+     let image = std::fs::read(IMAGE_PATH).unwrap();
+-    bench::start();
++    unsafe {
++        bench_start();
++    }
+     let result = classify(&image).unwrap();
+-    bench::end();
++    unsafe {
++        bench_end();
++    }
+     assert_eq!(result[0].label, "tiger");
+     println!("{:?}", result);
+ }
diff --git a/benchmarks/regex/benchmark.wasm b/benchmarks/regex/benchmark.wasm
index acdd6fc..f275951 100755
Binary files a/benchmarks/regex/benchmark.wasm and b/benchmarks/regex/benchmark.wasm differ
diff --git a/benchmarks/regex/rust-benchmark/Cargo.lock b/benchmarks/regex/rust-benchmark/Cargo.lock
index af86e39..aca8fcc 100644
--- a/benchmarks/regex/rust-benchmark/Cargo.lock
+++ b/benchmarks/regex/rust-benchmark/Cargo.lock
@@ -11,6 +11,14 @@ dependencies = [
  "memchr",
 ]
 
+[[package]]
+name = "benchmark"
+version = "0.1.0"
+dependencies = [
+ "regex",
+ "sightglass-api",
+]
+
 [[package]]
 name = "memchr"
 version = "2.5.0"
@@ -34,14 +42,6 @@ version = "0.6.28"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "456c603be3e8d448b072f410900c09faf164fbce2d480456f50eea6e25f9c848"
 
-[[package]]
-name = "regex-wasm-benchmark"
-version = "0.1.0"
-dependencies = [
- "regex",
- "sightglass-api",
-]
-
 [[package]]
 name = "sightglass-api"
 version = "0.1.0"
diff --git a/build.sh b/build.sh
index cb12d0c..f9bcebd 100755
--- a/build.sh
+++ b/build.sh
@@ -29,6 +29,7 @@ echo "Revision:" $REVISION
 echo "Build Sha:" $BUILD_SHA "vs" $CURRENT_BUILD_SHA "(calculated)"
 echo ""
 
+
 # Create docker image
 echo "Building ${IMAGE_NAME}-${IMAGE_VERSION} for $ARCH."
 echo ""
diff --git a/config.inc b/config.inc
index 425e7cf..7f3cca8 100644
--- a/config.inc
+++ b/config.inc
@@ -1,3 +1,3 @@
 # Global variables used by scripts for docker building and launching
 IMAGE_NAME="wasmscore"
-IMAGE_VERSION="v0.1.1.63d6828"
+IMAGE_VERSION="v0.1.3.c052603"
diff --git a/wasmscore.py b/wasmscore.py
index b667196..1424f9b 100755
--- a/wasmscore.py
+++ b/wasmscore.py
@@ -113,6 +113,8 @@
     "bzip2": "bz2/benchmark.wasm",
     "hex-simd": "hex-simd/benchmark.wasm",
     # "image-classification": "image-classification/image-classification-benchmark.wasm",
+    "tract_mobilenet_v2_onnx": "inference_tract/mobile_net_v2_onnx_benchmark.wasm",
+    "tract_mobilenet_v2_tensorflow": "inference_tract/mobile_net_v2_tensorflow_benchmark.wasm",
     "intgemm-simd": "intgemm-simd/benchmark.wasm",
     "libsodium-aead_aes256gcm": "libsodium/libsodium-aead_aes256gcm.wasm",
     "libsodium-aead_aes256gcm2": "libsodium/libsodium-aead_aes256gcm2.wasm",
@@ -217,6 +219,8 @@
 
 sg_benchmarks_native = {
     "meshoptimizer": "meshoptimizer/codecbench-simd.so",
+    "tract_mobilenet_v2_onnx": "inference_tract/mobile_net_v2_onnx_benchmark.so",
+    "tract_mobilenet_v2_tensorflow": "inference_tract/mobile_net_v2_tensorflow_benchmark.so",
     "ackermann": "shootout/shootout-ackermann.so",
     "base64": "shootout/shootout-base64.so",
     "ctype": "shootout/shootout-ctype.so",
@@ -238,11 +242,37 @@
     "xchacha20": "shootout/shootout-xchacha20.so",
 }
 
+sg_benchmarks_native_build = {
+    "tract_mobilenet_v2_onnx": "./build_mobile_net_v2_onnx_native.sh",
+    "tract_mobilenet_v2_tensorflow": "./build_mobile_net_v2_tensorflow_native.sh",
+    "meshoptimizer": "./build-native.sh",
+    "ackermann": "./build-native.sh",
+    "base64": "./build-native.sh",
+    "ctype": "./build-native.sh",
+    "ed25519": "./build-native.sh",
+    "fibonacci": "./build-native.sh",
+    "gimli": "./build-native.sh",
+    "heapsort": "./build-native.sh",
+    "keccak": "./build-native.sh",
+    "matrix": "./build-native.sh",
+    "memmove": "./build-native.sh",
+    "minicsv": "./build-native.sh",
+    "nestedloop": "./build-native.sh",
+    "random": "./build-native.sh",
+    "ratelimit": "./build-native.sh",
+    "seqhash": "./build-native.sh",
+    "sieve": "./build-native.sh",
+    "switch": "./build-native.sh",
+    "xblabla20": "./build-native.sh",
+    "xchacha20": "./build-native.sh",
+}
+
+
 perf_suites = {
     "app-wasmscore": ["meshoptimizer"],
     "core-wasmscore": ["ackermann", "ctype", "fibonacci"],
     "crypto-wasmscore": ["base64", "ed25519", "seqhash"],
-    "ai-wasmscore": [],
+    "ai-wasmscore": ["tract_mobilenet_v2_onnx", "tract_mobilenet_v2_tensorflow"],
     "regex-wasmscore": [],
     "shootout": [
         "base64",
@@ -412,7 +442,8 @@ def run_benchmarks(benchmark, run_native=False):
             results_summarized_transposed_path,
         )
 
-        native_build_cmd_string = "./build-native.sh"
+        native_build_cmd_string = sg_benchmarks_native_build[benchmark];
+        logging.debug("native_benchmark_build_path ... %s", native_build_cmd_string);
         try:
             logging.info("Trying native build ... ")
             output = subprocess.check_output(