diff --git a/aten/src/ATen/native/mps/operations/ReduceOps.mm b/aten/src/ATen/native/mps/operations/ReduceOps.mm
index d6e510a06e322..44802e7d7a18e 100644
--- a/aten/src/ATen/native/mps/operations/ReduceOps.mm
+++ b/aten/src/ATen/native/mps/operations/ReduceOps.mm
@@ -138,7 +138,7 @@ void set_axes_and_shapes(const Tensor& input_t,
 }
 
 void reduction_out_mps
-   (const Tensor& input_t,
+   (const Tensor& input_tensor,
     OptionalIntArrayRef opt_dim,
     bool keepdim,
     c10::optional<ScalarType> dtype,
@@ -146,6 +146,8 @@ void set_axes_and_shapes(const Tensor& input_t,
     MPSReductionType reduction_type,
     const std::string& func_name) {
 
+  auto input_t = (input_tensor.sizes().size() == 0) ? input_tensor.view({1}) : input_tensor;
+
   IntArrayRef input_shape = input_t.sizes();
 
   if (opt_dim.has_value()) {
@@ -391,14 +393,17 @@ Tensor count_nonzero_mps(const Tensor& self, IntArrayRef dims){
 }
 
 TORCH_IMPL_FUNC(norm_out_mps)
-(const Tensor& input_t,
+(const Tensor& input_tensor,
  const OptionalScalarRef opt_p,
  IntArrayRef dim,
  bool keepdim,
  const Tensor& output_t)
 {
-  if (input_t.numel() == 0)
+  if (input_tensor.numel() == 0)
     return;
+
+  auto input_t = (input_tensor.sizes().size() == 0) ? input_tensor.view({1}) : input_tensor;
+
   IntArrayRef input_shape = input_t.sizes();
 
   for(int i = 0; i < dim.size(); i++) {
diff --git a/test/test_mps.py b/test/test_mps.py
index ccb3a294539b9..2a5c2d03c6046 100644
--- a/test/test_mps.py
+++ b/test/test_mps.py
@@ -6510,6 +6510,11 @@ class TestConsistency(TestCase):
         'arange': ['f16', 'f32', 'i16', 'i32', 'i64', 'u8'],
         'argmax': ['f16', 'f32', 'i16', 'i32', 'i64', 'u8'],
         'argmin': ['f16', 'f32', 'i16', 'i32', 'i64', 'u8'],
+        'amax': ['f32'],
+        'amix': ['f32'],
+        'logsumexp': ['f32'],
+        'mean': ['f32'],
+        'sum': ['f32'],
         'asin': ['f32', 'i16', 'i32', 'u8'],
         'asinh': ['f32', 'i16', 'i32', 'u8'],
         'atan': ['f32', 'i16', 'i32', 'u8'],