diff --git a/Tests/test_numpy.py b/Tests/test_numpy.py
index 3f9586513..4ccd35862 100644
--- a/Tests/test_numpy.py
+++ b/Tests/test_numpy.py
@@ -1,7 +1,6 @@
 from __future__ import print_function
-import sys
-from helper import unittest, PillowTestCase, hopper
 
+from helper import PillowTestCase, hopper, unittest
 from PIL import Image
 
 try:
@@ -15,13 +14,6 @@ except ImportError:
 
 TEST_IMAGE_SIZE = (10, 10)
 
-# Numpy on pypy as of pypy 5.3.1 is corrupting the numpy.array(Image)
-# call such that it's returning a object of type numpy.ndarray, but
-# the repr is that of a PIL.Image. Size and shape are 1 and (), not the
-# size and shape of the array. This causes failures in several tests.
-SKIP_NUMPY_ON_PYPY = hasattr(sys, 'pypy_version_info') and (
-    sys.pypy_version_info <= (5, 3, 1, 'final', 0))
-
 
 class TestNumpy(PillowTestCase):
 
@@ -121,7 +113,6 @@ class TestNumpy(PillowTestCase):
             for y in range(0, img.size[1], int(img.size[1]/10)):
                 self.assert_deep_equal(px[x, y], np[y, x])
 
-    @unittest.skipIf(SKIP_NUMPY_ON_PYPY, "numpy.array(Image) is flaky on PyPy")
     def test_16bit(self):
         img = Image.open('Tests/images/16bit.cropped.tif')
         np_img = numpy.array(img)
@@ -152,7 +143,6 @@ class TestNumpy(PillowTestCase):
         img_px = img.load()
         self.assertEqual(img_px[0, 0], pixel_value)
 
-    @unittest.skipIf(SKIP_NUMPY_ON_PYPY, "numpy.array(Image) is flaky on PyPy")
     def test_to_array(self):
 
         def _to_array(mode, dtype):