diff --git a/test/test_loopy.py b/test/test_loopy.py
index 2438829f481735b0fdf4e5d5d822ac4b4c60e277..579215092a41ef3f5b512d1c0e2010a52922c885 100644
--- a/test/test_loopy.py
+++ b/test/test_loopy.py
@@ -1935,34 +1935,35 @@ def test_unscheduled_insn_detection():
 
 def test_integer_reduction():
     n = 200
-    var_int = np.random.randint(1000, size=n, dtype=np.int32)
-    var_lp = lp.TemporaryVariable('var', initializer=var_int,
-                               scope=scopes.PRIVATE,
-                               read_only=True,
-                               dtype=np.int32,
-                               shape=lp.auto)
-
-    reductions = [('max', lambda x: x == np.max(var_int)),
-                  ('min', lambda x: x == np.min(var_int)),
-                  ('sum', lambda x: x == np.sum(var_int)),
-                  ('product', lambda x: x == np.prod(var_int)),
-                  ('argmax', lambda x: (x[0] == np.max(var_int) and
-                    x[1] == np.argmax(var_int))),
-                  ('argmin', lambda x: (x[0] == np.min(var_int) and
-                    x[1] == np.argmin(var_int)))]
-
-    for reduction, function in reductions:
-        kstr = (("out" if not 'arg' in reduction
-            else "out[0], out[1]") + ' = {}(k, var[k])'.format(reduction))
-        knl = lp.make_kernel('{[k]: 0<=k<n}}',
-                            kstr,
-                            [var_lp, '...'])
-
-        knl = lp.fix_parameters(knl, n=200)
-
-        _, (out,) = knl(queue)
-
-        assert function(out)
+    for vtype in [np.int32, np.int64]:
+        var_int = np.random.randint(1000, size=n, dtype=vtype)
+        var_lp = lp.TemporaryVariable('var', initializer=var_int,
+                                   scope=scopes.PRIVATE,
+                                   read_only=True,
+                                   dtype=vtype,
+                                   shape=lp.auto)
+
+        reductions = [('max', lambda x: x == np.max(var_int)),
+                      ('min', lambda x: x == np.min(var_int)),
+                      ('sum', lambda x: x == np.sum(var_int)),
+                      ('product', lambda x: x == np.prod(var_int)),
+                      ('argmax', lambda x: (x[0] == np.max(var_int) and
+                        x[1] == np.argmax(var_int))),
+                      ('argmin', lambda x: (x[0] == np.min(var_int) and
+                        x[1] == np.argmin(var_int)))]
+
+        for reduction, function in reductions:
+            kstr = (("out" if not 'arg' in reduction
+                else "out[0], out[1]") + ' = {}(k, var[k])'.format(reduction))
+            knl = lp.make_kernel('{[k]: 0<=k<n}}',
+                                kstr,
+                                [var_lp, '...'])
+
+            knl = lp.fix_parameters(knl, n=200)
+
+            _, (out,) = knl(queue)
+
+            assert function(out)
 
 if __name__ == "__main__":
     if len(sys.argv) > 1: