diff --git a/example/imagenet/README.md b/example/imagenet/README.md
index 3ee3aa7d5d6f..476409680e0a 100644
--- a/example/imagenet/README.md
+++ b/example/imagenet/README.md
@@ -14,7 +14,19 @@ TODO
 Machine: Dual Xeon E5-2680 2.8GHz, GTX 980, Ubuntu 14.0, GCC 4.8, MKL, CUDA
 7, CUDNN v3
 
+* AlexNet
+
+
 | | val accuracy | 1 x GTX 980 | 2 x GTX 980 | 4 x GTX 980 |
 | --- | ---: | ---: | ---: | ---: | ---: |
 | `alexnet.py` | ? | 527 img/sec | 1030 img/sec | 1413 img/sec |
 |   cxxnet    | ?|256 img/sec | 492 img/sec | 914 img/sec | 
+
+* Inception-BN
+
+| | val accuracy | 1 x GTX 980 | 2 x GTX 980 | 4 x GTX 980 |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| `inception.py` | ? | 97 img/sec (batch 32) | 178 img/sec (batch 64) | 357 img/sec (batch 128) |
+|   cxxnet    | ?|57 img/sec (batch 16) | 112 img/sec (batch 32) | 224 img/sec (batch 64) |
+
+Note: MXNet is much more memory efficiency than cxxnet, so we are able to train on larger batch.