diff --git a/numba/np/arraymath.py b/numba/np/arraymath.py
index f13ecf456dc..67820c3e728 100644
--- a/numba/np/arraymath.py
+++ b/numba/np/arraymath.py
@@ -1830,7 +1830,7 @@ def np_argpartition_impl_inner(a, kth_array):
 
     # allocate and fill empty array rather than copy a and mutate in place
     # as the latter approach fails to preserve strides
-    out = np.empty_like(a, dtype=np.int64)
+    out = np.empty_like(a, dtype=np.intp)
 
     idx = np.ndindex(a.shape[:-1])  # Numpy default partition axis is -1
     for s in idx:
@@ -1924,7 +1924,7 @@ def np_argpartition(a, kth):
     def np_argpartition_impl(a, kth):
         a_tmp = _asarray(a)
         if a_tmp.size == 0:
-            return a_tmp.copy().astype('int64')
+            return a_tmp.copy().astype('intp')
         else:
             kth_array = valid_kths(a_tmp, kth)
             return np_argpartition_impl_inner(a_tmp, kth_array)
diff --git a/numba/tests/test_np_functions.py b/numba/tests/test_np_functions.py
index 49e8422af0b..7d58d12df0c 100644
--- a/numba/tests/test_np_functions.py
+++ b/numba/tests/test_np_functions.py
@@ -2218,11 +2218,12 @@ def test_argpartition_basic(self):
         cfunc = jit(nopython=True)(pyfunc)
 
         d = np.array([], dtype=np.int64)
+        expected = pyfunc(d, 0)
         got = cfunc(d, 0)
-        self.assertPreciseEqual(d, got)
+        self.assertPreciseEqual(expected, got)
 
         d = np.ones(1, dtype=np.int64)
-        expected = np.zeros(1, dtype=np.int64)
+        expected = pyfunc(d, 0)
         got = cfunc(d, 0)
         self.assertPreciseEqual(expected, got)
 
diff --git a/numba/tests/test_ufuncs.py b/numba/tests/test_ufuncs.py
index 0ebd1fdb726..f6248f41aab 100644
--- a/numba/tests/test_ufuncs.py
+++ b/numba/tests/test_ufuncs.py
@@ -1347,6 +1347,7 @@ class _LoopTypesTester(TestCase):
              ('log10', 'D'): 5,
              ('tanh', 'F'): 2,
              ('cbrt', 'd'): 2,
+             ('logaddexp2', 'd'): 2,
              }
 
     def _arg_for_type(self, a_letter_type, index=0):