diff --git a/backends/arm/operators/op_mul.py b/backends/arm/operators/op_mul.py
index 7d9f6eac6aa..669dd506fc2 100644
--- a/backends/arm/operators/op_mul.py
+++ b/backends/arm/operators/op_mul.py
@@ -51,7 +51,7 @@ def define_node(
         validate_valid_dtype(
             self.target,
             [*inputs, output],
-            [ts.DType.INT8, ts.DType.INT32],
+            [ts.DType.INT8, ts.DType.INT16, ts.DType.INT32],
             output.tosa_spec,
         )
 
diff --git a/backends/arm/test/ops/test_mul.py b/backends/arm/test/ops/test_mul.py
index d8f9e947ce3..ebe3ed7f8f4 100644
--- a/backends/arm/test/ops/test_mul.py
+++ b/backends/arm/test/ops/test_mul.py
@@ -9,8 +9,12 @@
 from typing import Tuple
 
 import torch
+from executorch.backends.arm.quantizer.arm_quantizer import (
+    get_symmetric_a16w8_quantization_config,
+    TOSAQuantizer,
+)
 
-from executorch.backends.arm.test import common
+from executorch.backends.arm.test import common, conftest
 from executorch.backends.arm.test.tester.test_pipeline import (
     EthosU55PipelineINT,
     EthosU85PipelineINT,
@@ -18,6 +22,8 @@
     TosaPipelineINT,
     VgfPipeline,
 )
+from executorch.backends.arm.tosa_specification import TosaSpecification
+from executorch.backends.xnnpack.test.tester import Quantize
 
 input_t1 = Tuple[torch.Tensor, torch.Tensor]  # Input x
 aten_op = "torch.ops.aten.mul.Tensor"
@@ -268,3 +274,46 @@ def test_mul_tensor_vgf_INT_int32(test_data: torch.Tensor):
     )
     pipeline.pop_stage("check.quant_nodes")
     pipeline.run()
+
+
+def get_symmetric_a16w8_mul_quantizer(u55_config=False, per_channel_quantization=False):
+    tosa_version = conftest.get_option("tosa_version")
+    tosa_profiles = {
+        "1.0": TosaSpecification.create_from_string("TOSA-1.0+INT+int16"),
+    }
+
+    quantizer = TOSAQuantizer(tosa_profiles[tosa_version])
+    quantizer.set_global(
+        get_symmetric_a16w8_quantization_config(is_per_channel=per_channel_quantization)
+    )
+
+    return Quantize(
+        quantizer,
+        get_symmetric_a16w8_quantization_config(
+            is_per_channel=per_channel_quantization
+        ),
+    )
+
+
+@common.parametrize("test_data", test_data_suite)
+def test_mul_tensor_16a8w_tosa_INT(test_data: input_t1):
+    """Test mul operation with 16A8W quantization (16-bit activations, 8-bit weights)"""
+    per_channel_quantization = False
+
+    pipeline = TosaPipelineINT[input_t1](
+        Mul(),
+        test_data(),
+        aten_op,
+        exir_op=[],
+        per_channel_quantization=per_channel_quantization,
+        use_to_edge_transform_and_lower=True,
+        tosa_extensions=["int16"],
+    )
+
+    pipeline.change_args(
+        "quantize",
+        get_symmetric_a16w8_mul_quantizer(
+            per_channel_quantization=per_channel_quantization
+        ),
+    )
+    pipeline.run()
diff --git a/backends/arm/test/targets.bzl b/backends/arm/test/targets.bzl
index 405f1bbf081..b438e556cca 100644
--- a/backends/arm/test/targets.bzl
+++ b/backends/arm/test/targets.bzl
@@ -16,6 +16,7 @@ def define_arm_tests():
         "ops/test_add.py",
         "ops/test_avg_pool2d.py",
         "ops/test_linear.py", 
+        "ops/test_mul.py",
         "ops/test_slice.py",
         "ops/test_sigmoid.py",
         "ops/test_tanh.py",