diff --git a/onnxruntime/core/optimizer/qdq_transformer/selectors_actions/qdq_selector_action_transformer.cc b/onnxruntime/core/optimizer/qdq_transformer/selectors_actions/qdq_selector_action_transformer.cc
index d454df3393f2b..2cc8531dc3d79 100644
--- a/onnxruntime/core/optimizer/qdq_transformer/selectors_actions/qdq_selector_action_transformer.cc
+++ b/onnxruntime/core/optimizer/qdq_transformer/selectors_actions/qdq_selector_action_transformer.cc
@@ -85,7 +85,7 @@ void DropQDQNodesRules(SelectorActionRegistry& qdq_selector_action_registry) {
   std::unique_ptr<NodeSelector> selector_no_16bit_and_positive_scale =
       std::make_unique<QDQ::DropQDQNodesSelector>(false, true, false, providers);
   qdq_selector_action_registry.RegisterSelectorAndAction(drop_action_no_int16_and_positive_scale_name,
-                                                         {{"MaxPool", {12}},
+                                                         {{"MaxPool", {12, 22}},
                                                           {"ReduceMax", {}},
                                                           {"ReduceMin", {}}},
                                                          std::move(selector_no_16bit_and_positive_scale),
diff --git a/onnxruntime/test/optimizer/qdq_transformer_test.cc b/onnxruntime/test/optimizer/qdq_transformer_test.cc
index 37da2d4247e34..7f9c5ac21994f 100644
--- a/onnxruntime/test/optimizer/qdq_transformer_test.cc
+++ b/onnxruntime/test/optimizer/qdq_transformer_test.cc
@@ -989,6 +989,57 @@ TEST(QDQTransformerTests, ReshapeDropQDQ) {
   RunReshapeDropQDQTestCase<uint16_t>({1, 3, 2, 2}, {1, 12}, false, 21);  // Use int16 ONNX QDQ ops
 }
 
+// Runs a test case that checks if Q/DQ nodes are dropped from DQ -> MaxPool -> Q.
+template <typename QuantType>
+static void RunMaxPoolDropQDQTestCase(bool use_contrib_qdq = false,
+                                      int opset = 12) {
+  auto build_test_case = [use_contrib_qdq](ModelTestBuilder& builder) {
+    constexpr QuantType qmin = std::numeric_limits<QuantType>::min();
+    constexpr QuantType qmax = std::numeric_limits<QuantType>::max();
+
+    const std::vector<int64_t> input_shape = {1, 17, 17, 3};
+    auto* input_arg = builder.MakeInput<QuantType>(input_shape, qmin, qmax);
+    auto* output_arg = builder.MakeOutput();
+    QuantType zero_point = 1 + (qmax + qmin) / 2;
+
+    // add DequantizeLinear
+    auto* input_arg_dq = builder.MakeIntermediate();
+    builder.AddDequantizeLinearNode<QuantType>(input_arg, .003f, zero_point, input_arg_dq, use_contrib_qdq);
+
+    // add MaxPool
+    auto* maxpool_output = builder.MakeIntermediate();
+    Node& maxpool_node = builder.AddNode("MaxPool", {input_arg_dq}, {maxpool_output});
+    maxpool_node.AddAttribute("auto_pad", "VALID");
+    maxpool_node.AddAttribute("kernel_shape", std::vector<int64_t>({2, 2}));
+
+    // add QuantizeLinear
+    builder.AddQuantizeLinearNode<QuantType>(maxpool_output, .003f, zero_point, output_arg, use_contrib_qdq);
+  };
+
+  auto check_graph = [use_contrib_qdq](InferenceSessionWrapper& session) {
+    auto op_to_count = CountOpsInGraph(session.GetGraph());
+    const QDQOpKeys qdq_keys = GetQDQOpKeys(use_contrib_qdq);
+    EXPECT_EQ(op_to_count["MaxPool"], 1);
+    EXPECT_EQ(op_to_count[qdq_keys.quantize_linear], 0);
+    EXPECT_EQ(op_to_count[qdq_keys.dequantize_linear], 0);
+  };
+
+  TransformerTester(build_test_case, check_graph, TransformerLevel::Level1, TransformerLevel::Level2, opset);
+}
+
+// Checks that Q/DQ nodes are dropped from DQ -> MaxPool -> Q. Uses 8-bit Q/DQ ops.
+TEST(QDQTransformerTests, MaxPoolDropQDQ) {
+  // Opset 12
+  RunMaxPoolDropQDQTestCase<int8_t>();
+  RunMaxPoolDropQDQTestCase<int8_t>(true);  // Use com.microsoft QDQ ops
+  RunMaxPoolDropQDQTestCase<uint8_t>();
+  RunMaxPoolDropQDQTestCase<uint8_t>(true);  // Use com.microsoft QDQ ops
+
+  // Opset 22
+  RunMaxPoolDropQDQTestCase<int8_t>(false, 22);
+  RunMaxPoolDropQDQTestCase<uint8_t>(false, 22);
+}
+
 // Runs a test case that checks if Q/DQ nodes are *not* dropped from DQ -> MaxPool -> Q if the quantization scale is
 // negative.
 template <typename QuantType>