diff --git a/tests/test_image_processing_common.py b/tests/test_image_processing_common.py
index d929997ee87369..e9b9467f580a2a 100644
--- a/tests/test_image_processing_common.py
+++ b/tests/test_image_processing_common.py
@@ -19,6 +19,8 @@
 import pathlib
 import tempfile
 
+import requests
+
 from transformers import AutoImageProcessor, BatchFeature
 from transformers.image_utils import AnnotationFormat, AnnotionFormat
 from transformers.testing_utils import check_json_file_has_correct_format, require_torch, require_vision
@@ -146,6 +148,55 @@ def setUp(self):
 
         self.image_processor_list = image_processor_list
 
+    @require_vision
+    @require_torch
+    def test_slow_fast_equivalence(self):
+        dummy_image = Image.open(
+            requests.get("http://images.cocodataset.org/val2017/000000039769.jpg", stream=True).raw
+        )
+
+        if not self.test_slow_image_processor or not self.test_fast_image_processor:
+            self.skipTest("Skipping slow/fast equivalence test")
+
+        if self.image_processing_class is None or self.fast_image_processing_class is None:
+            self.skipTest("Skipping slow/fast equivalence test as one of the image processors is not defined")
+
+        image_processor_slow = self.image_processing_class(**self.image_processor_dict)
+        image_processor_fast = self.fast_image_processing_class(**self.image_processor_dict)
+
+        encoding_slow = image_processor_slow(dummy_image, return_tensors="pt")
+        encoding_fast = image_processor_fast(dummy_image, return_tensors="pt")
+
+        self.assertTrue(torch.allclose(encoding_slow.pixel_values, encoding_fast.pixel_values, atol=1e-3))
+
+    @require_vision
+    @require_torch
+    def test_fast_is_faster_than_slow(self):
+        import time
+
+        def measure_time(self, image_processor, dummy_image):
+            start = time.time()
+            _ = image_processor(dummy_image, return_tensors="pt")
+            return time.time() - start
+
+        dummy_image = Image.open(
+            requests.get("http://images.cocodataset.org/val2017/000000039769.jpg", stream=True).raw
+        )
+
+        if not self.test_slow_image_processor or not self.test_fast_image_processor:
+            self.skipTest("Skipping speed test")
+
+        if self.image_processing_class is None or self.fast_image_processing_class is None:
+            self.skipTest("Skipping speed test as one of the image processors is not defined")
+
+        image_processor_slow = self.image_processing_class(**self.image_processor_dict)
+        image_processor_fast = self.fast_image_processing_class(**self.image_processor_dict)
+
+        slow_time = self.measure_time(image_processor_slow, dummy_image)
+        fast_time = self.measure_time(image_processor_fast, dummy_image)
+
+        self.assertLessEqual(fast_time, slow_time)
+
     def test_image_processor_to_json_string(self):
         for image_processing_class in self.image_processor_list:
             image_processor = image_processing_class(**self.image_processor_dict)