diff --git a/tests/test_wsi_registration.py b/tests/test_wsi_registration.py
index fd08d1bbd..5eb381263 100644
--- a/tests/test_wsi_registration.py
+++ b/tests/test_wsi_registration.py
@@ -5,8 +5,6 @@
 import numpy as np
 import pytest
 
-from tests.conftest import timed
-from tiatoolbox import logger
 from tiatoolbox.tools.registration.wsi_registration import (
     AffineWSITransformer,
     DFBRegister,
@@ -23,28 +21,6 @@
 RNG = np.random.default_rng()  # Numpy Random Generator
 
 
-def test_extract_features_time(dfbr_features: Path, test_count: int = 10) -> None:
-    """Compute time test for CNN based feature extraction function."""
-    compile_time = 0.0
-    eager_compile_time = 0.0
-    for _ in range(test_count):
-        _, _compile_time = timed(lambda: test_extract_features(dfbr_features), compiled=True)
-        compile_time += _compile_time
-    for _ in range(test_count):
-        _, _compile_time = timed(
-            lambda: test_extract_features(dfbr_features, compiled=False),
-        )
-        eager_compile_time += _compile_time
-    compile_time /= test_count
-    eager_compile_time /= test_count
-    logger.info("Time taken for feature extraction (torch.compile): %f", compile_time)
-    logger.info(
-        "Time taken for feature extraction (eager execution): %f",
-        eager_compile_time,
-    )
-    assert compile_time < eager_compile_time
-
-
 def test_extract_features(dfbr_features: Path, *, compiled: bool = True) -> None:
     """Test for CNN based feature extraction function."""
     # dfbr (deep feature based registration).