diff --git a/aten/src/ATen/native/mps/operations/UnaryOps.mm b/aten/src/ATen/native/mps/operations/UnaryOps.mm
index 2670701bacb54..bbbb81cf47432 100644
--- a/aten/src/ATen/native/mps/operations/UnaryOps.mm
+++ b/aten/src/ATen/native/mps/operations/UnaryOps.mm
@@ -254,7 +254,10 @@ void unary_op(const Tensor& self, const Tensor& output, std::string op_name, Una
  int64_t dim,
  c10::optional<ScalarType> dtype,
  const Tensor& result) {
-  TORCH_CHECK(dim >=0 && dim < std::max(1LL, self.ndimension()), "Expected dim to be between 0 and ", self.ndimension(), " but got ", dim);
+
+  auto nDims = self.dim();
+  auto wrapped_dim = maybe_wrap_dim(dim, nDims);
+  TORCH_CHECK(wrapped_dim >=0 && wrapped_dim < std::max(1LL, self.ndimension()), "Expected wrapped dim to be between 0 and ", self.ndimension(), " but got ", wrapped_dim , "(original dim is ", dim, ")");
   if (!is_macos_13_or_newer()) {
     TORCH_WARN_ONCE("torch.cumsum supported by MPS on MacOS 13+, please upgrade");
     auto cpu_result = self.to(at::Device(kCPU)).cumsum(dim, dtype);
diff --git a/test/test_mps.py b/test/test_mps.py
index 7d36da427667b..04141ace1d2eb 100644
--- a/test/test_mps.py
+++ b/test/test_mps.py
@@ -2248,6 +2248,23 @@ def helper(shape, dtype):
 
         helper((2, 8, 4, 5), torch.int16)
 
+    def test_cumsum_minus_one_axis(self):
+        def helper(dtype):
+            # Test with axis -1
+            cpu_x = None
+            if(dtype == torch.float32):
+                cpu_x = torch.randn(10, 3, device='cpu', dtype=torch.float32)
+            else:
+                cpu_x = torch.randint(0, 20, (10, 3), device='cpu', dtype=torch.float32)
+            x = cpu_x.detach().clone().to('mps')
+
+            cpu_y = cpu_x.cumsum(-1)
+            y = x.cumsum(-1)
+
+            self.assertEqual(y, cpu_y)
+
+        [helper(dtype) for dtype in [torch.float32, torch.int16, torch.int32, torch.uint8]]
+
 class TestLogical(TestCase):
     def _wrap_tensor(self, x, device="cpu", dtype=None, requires_grad=False):
         return torch.tensor(x, device=device, dtype=dtype, requires_grad=requires_grad)