diff --git a/backends/cadence/aot/replace_ops.py b/backends/cadence/aot/replace_ops.py
index 6e2f85fab0f..c88b1fad56f 100644
--- a/backends/cadence/aot/replace_ops.py
+++ b/backends/cadence/aot/replace_ops.py
@@ -2266,7 +2266,8 @@ def _get_split_sizes(self, node: torch.fx.Node) -> Optional[list[tuple[int, ...]
 class ReplacePowWithMulPass(RemoveOrReplacePassInterface):
     """
     Replace the pow op with successive mul ops when the exponent is an
-    integer between 2 and 4 (inclusive).
+    integer between 2 and 4 (inclusive). Float exponents that are whole
+    numbers (e.g., 2.0, 3.0, 4.0) are also accepted.
     """
 
     @property
@@ -2274,11 +2275,16 @@ def targets(self) -> list[EdgeOpOverload]:
         return [exir_ops.edge.aten.pow.Tensor_Scalar]
 
     def maybe_remove_or_replace(self, node: torch.fx.Node) -> bool:
-        # Check if we have at least 2 args and the exponent is an int
-        if len(node.args) < 2 or not isinstance(node.args[1], int):
+        # Check if we have at least 2 args and the exponent is an int or float
+        if len(node.args) < 2 or not isinstance(node.args[1], (int, float)):
             return False
 
-        exponent = cast(int, node.args[1])
+        exponent_val = node.args[1]
+        if isinstance(exponent_val, float):
+            if not exponent_val.is_integer():
+                return False
+            exponent_val = int(exponent_val)
+        exponent = cast(int, exponent_val)
 
         # Only replace if exponent is between 2 and 4 (inclusive)
         if exponent < 2 or exponent > 4:
diff --git a/backends/cadence/aot/tests/test_replace_ops_passes.py b/backends/cadence/aot/tests/test_replace_ops_passes.py
index ee13726a94b..56a17b73f88 100644
--- a/backends/cadence/aot/tests/test_replace_ops_passes.py
+++ b/backends/cadence/aot/tests/test_replace_ops_passes.py
@@ -1926,8 +1926,8 @@ def test_replace_split_with_sizes_with_slice(self) -> None:
             2,
         )
 
-    @expand([[2], [3], [4]])
-    def test_replace_pow_with_mul(self, exponent: int) -> None:
+    @expand([[2], [3], [4], [2.0], [3.0], [4.0]])
+    def test_replace_pow_with_mul(self, exponent: int | float) -> None:
         x_input = torch.randn(2, 1, 64)
         x = x_input
         original_gm = single_op_builder(
@@ -1956,13 +1956,15 @@ def test_replace_pow_with_mul(self, exponent: int) -> None:
                 graph_after_passes,
                 exir_ops.edge.aten.mul.Tensor,
             ),
-            exponent - 1,
+            int(exponent) - 1,
         )
 
     @expand(
         [
             [1],
             [1.5],
+            [5.0],
+            [0.5],
         ]
     )
     def test_replace_pow_with_mul_not_applied(self, exponent: float) -> None: