diff --git a/scripts/time_large_tokamak.py b/scripts/time_large_tokamak.py
deleted file mode 100644
index ff8a5ed76..000000000
--- a/scripts/time_large_tokamak.py
+++ /dev/null
@@ -1,23 +0,0 @@
-"""Running this script will run large tokamak and print its runtime [s] to stdout."""
-
-import subprocess
-import time
-from pathlib import Path
-
-
-def large_tokamak_runtime():
-    """Runs large tokamak and returns the runtime in seconds"""
-    script_dir = Path(__file__).resolve().parent
-    large_tokamak_path = (
-        script_dir / "../tests/regression/scenarios/large-tokamak/IN.DAT"
-    )
-
-    start = time.time()
-
-    subprocess.run(f"process -i {str(large_tokamak_path.resolve())}", shell=True)
-
-    return time.time() - start
-
-
-if __name__ == "__main__":
-    print(f"Runtime of large tokamak: {large_tokamak_runtime()}")
diff --git a/scripts/time_numpy_baseline.py b/scripts/time_numpy_baseline.py
deleted file mode 100644
index d4ba05456..000000000
--- a/scripts/time_numpy_baseline.py
+++ /dev/null
@@ -1,38 +0,0 @@
-"""Running this script will print the average runtime of a computationally intensive baseline.
-This can then be used to normalise other runtime calculations to mitigate bias introduced
-by hardware, system load, etc. The average runtime [s] will be printed to stdout."""
-
-import time
-
-import numpy as np
-
-
-def numpy_baseline_runtime():
-    """Runs a computational intense numeric baseline 10 times and
-    returns the average runtime in seconds."""
-
-    np.random.seed(42)
-
-    N = 3500
-
-    A = np.random.rand(N, N)
-    B = np.random.rand(N, N)
-
-    starts = []
-    ends = []
-
-    for _ in range(10):
-        starts.append(time.time())
-
-        A @ B
-
-        ends.append(time.time())
-
-    starts = np.array(starts)
-    ends = np.array(ends)
-
-    return (ends - starts).mean()
-
-
-if __name__ == "__main__":
-    print(f"Average runtime of the numpy baseline: {numpy_baseline_runtime()}")