diff --git a/numpy/core/src/umath/loops_comparison.dispatch.c.src b/numpy/core/src/umath/loops_comparison.dispatch.c.src
index 2f75593a552b..e87db067b07c 100644
--- a/numpy/core/src/umath/loops_comparison.dispatch.c.src
+++ b/numpy/core/src/umath/loops_comparison.dispatch.c.src
@@ -234,7 +234,7 @@ static void simd_binary_@kind@_b8(char **args, npy_intp len)
         npyv_b8 a = npyv_cmpeq_u8(npyv_load_u8(src1), vzero);
         npyv_b8 b = npyv_cmpeq_u8(npyv_load_u8(src2), vzero);
         npyv_b8 c = npyv_@VOP@_b8(a, b);
-        npyv_store_u8(dst, npyv_andc_u8(npyv_cvt_u8_b8(c), truemask));
+        npyv_store_u8(dst, npyv_and_u8(npyv_cvt_u8_b8(c), truemask));
     }
 
     for (; len > 0; --len, ++src1, ++src2, ++dst) {
@@ -258,7 +258,7 @@ static void simd_binary_scalar1_@kind@_b8(char **args, npy_intp len)
     for (; len >= vstep; len -= vstep, src += vstep, dst += vstep) {
         npyv_b8 b = npyv_cmpeq_u8(npyv_load_u8(src), vzero);
         npyv_b8 c = npyv_@VOP@_b8(a, b);
-        npyv_store_u8(dst, npyv_andc_u8(npyv_cvt_u8_b8(c), truemask));
+        npyv_store_u8(dst, npyv_and_u8(npyv_cvt_u8_b8(c), truemask));
     }
 
     for (; len > 0; --len, ++src, ++dst) {
@@ -281,7 +281,7 @@ static void simd_binary_scalar2_@kind@_b8(char **args, npy_intp len)
     for (; len >= vstep; len -= vstep, src += vstep, dst += vstep) {
         npyv_b8 a = npyv_cmpeq_u8(npyv_load_u8(src), vzero);
         npyv_b8 c = npyv_@VOP@_b8(a, b);
-        npyv_store_u8(dst, npyv_andc_u8(npyv_cvt_u8_b8(c), truemask));
+        npyv_store_u8(dst, npyv_and_u8(npyv_cvt_u8_b8(c), truemask));
     }
 
     for (; len > 0; --len, ++src, ++dst) {
diff --git a/numpy/core/tests/test_umath.py b/numpy/core/tests/test_umath.py
index 884578860712..bcfed91a7586 100644
--- a/numpy/core/tests/test_umath.py
+++ b/numpy/core/tests/test_umath.py
@@ -284,16 +284,16 @@ def test_comparison_functions(self, dtype, py_comp, np_comp):
         b_lst = b.tolist()
 
         # (Binary) Comparison (x1=array, x2=array)
-        comp_b = np_comp(a, b)
-        comp_b_list = [py_comp(x, y) for x, y in zip(a_lst, b_lst)]
+        comp_b = np_comp(a, b).view(np.uint8)
+        comp_b_list = [int(py_comp(x, y)) for x, y in zip(a_lst, b_lst)]
 
         # (Scalar1) Comparison (x1=scalar, x2=array)
-        comp_s1 = np_comp(np_scalar, b)
-        comp_s1_list = [py_comp(scalar, x) for x in b_lst]
+        comp_s1 = np_comp(np_scalar, b).view(np.uint8)
+        comp_s1_list = [int(py_comp(scalar, x)) for x in b_lst]
 
         # (Scalar2) Comparison (x1=array, x2=scalar)
-        comp_s2 = np_comp(a, np_scalar)
-        comp_s2_list = [py_comp(x, scalar) for x in a_lst]
+        comp_s2 = np_comp(a, np_scalar).view(np.uint8)
+        comp_s2_list = [int(py_comp(x, scalar)) for x in a_lst]
 
         # Sequence: Binary, Scalar1 and Scalar2
         assert_(comp_b.tolist() == comp_b_list,