diff --git a/src/plugins/intel_cpu/src/nodes/reduce.cpp b/src/plugins/intel_cpu/src/nodes/reduce.cpp
index a5abc1ead50..0eefdf73146 100644
--- a/src/plugins/intel_cpu/src/nodes/reduce.cpp
+++ b/src/plugins/intel_cpu/src/nodes/reduce.cpp
@@ -2147,22 +2147,24 @@ void Reduce::reduce_PLN(const uint8_t *in_ptr, uint8_t *out_ptr) {
             } else if (!ReduceC && ReduceD && ReduceH && !ReduceW) {
                 size_t IWB = IW / blk_size;
                 if (ReduceDH_opt) {
-                    // reduce parallelly in D dimension
-                    // step1: !ReduceD && ReduceH && !ReduceW
-                    uint8_t *prc_ptr_n = &vec_reduceDH_prc[0];
-                    init_dst_data(prc_ptr_n, prc_size);
-                    parallel_for2d(ID, IWB, [&](size_t id, size_t iwb){
-                        size_t pd = id, pwb = iwb;
-                        reduce_kernel_process(in_ptr_n + (id * IH * IW + iwb * blk_size) * src_data_size,
-                                              prc_ptr_n + (pd * PW + pwb * blk_size) * prc_data_size, blk_size, 0, IH);
-                    });
-                    // step2: ReduceD
-                    reduce_stride = PW;
-                    parallel_for(IWB, [&](size_t iwb){
-                        size_t pwb = iwb, owb = iwb;
-                        reduce_kernel_process(prc_ptr_n + pwb * blk_size * prc_data_size,
-                                              out_ptr_n + owb * blk_size * dst_data_size, blk_size, 0, ID);
-                    });
+                    if (IWB > 0) {
+                        // reduce parallelly in D dimension
+                        // step1: !ReduceD && ReduceH && !ReduceW
+                        uint8_t *prc_ptr_n = &vec_reduceDH_prc[0];
+                        init_dst_data(prc_ptr_n, prc_size);
+                        parallel_for2d(ID, IWB, [&](size_t id, size_t iwb){
+                            size_t pd = id, pwb = iwb;
+                            reduce_kernel_process(in_ptr_n + (id * IH * IW + iwb * blk_size) * src_data_size,
+                                                prc_ptr_n + (pd * PW + pwb * blk_size) * prc_data_size, blk_size, 0, IH);
+                        });
+                        // step2: ReduceD
+                        reduce_stride = PW;
+                        parallel_for(IWB, [&](size_t iwb){
+                            size_t pwb = iwb, owb = iwb;
+                            reduce_kernel_process(prc_ptr_n + pwb * blk_size * prc_data_size,
+                                                out_ptr_n + owb * blk_size * dst_data_size, blk_size, 0, ID);
+                        });
+                    }
                     // reduce tail
                     reduce_stride = IW;
                     size_t tail_start = IWB * blk_size;
@@ -2740,7 +2742,7 @@ inline void Reduce::set_reduce_dim_flags() {
     ReduceH = IH != OH && OH == 1;
     ReduceW = IW != OW && OW == 1;
 
-    // must be done before the above dimension change
+    // must be done after the above dimension change
     create_DH_working_memory();
 
     // suit for parallel
diff --git a/src/plugins/intel_cpu/tests/functional/single_layer_tests/reduce_ops.cpp b/src/plugins/intel_cpu/tests/functional/single_layer_tests/reduce_ops.cpp
index 7fa7871b024..f41e74dd422 100644
--- a/src/plugins/intel_cpu/tests/functional/single_layer_tests/reduce_ops.cpp
+++ b/src/plugins/intel_cpu/tests/functional/single_layer_tests/reduce_ops.cpp
@@ -241,6 +241,10 @@ const std::vector<std::vector<int>> axes5DFusing = {
         {0, 2, 4},
 };
 
+const std::vector<std::vector<int>> axesHW = {
+        {2, 3}
+};
+
 std::vector<CommonTestUtils::OpType> opTypes = {
         CommonTestUtils::OpType::SCALAR,
         CommonTestUtils::OpType::VECTOR,
@@ -294,6 +298,11 @@ std::vector<std::vector<ov::test::InputShape>> inputShapes_Int32 = {
     {{{{1, 5}, 19, {1, 5}, {1, 10}}, {{2, 19, 2, 2}, {2, 19, 2, 3}}}},
 };
 
+std::vector<std::vector<ov::test::InputShape>> inputShapes_SmallChannel = {
+    {{{}, {{2, 3, 2, 9}}}},
+    {{{{1, 5}, 3, {1, 5}, {1, 10}}, {{2, 3, 2, 2}, {2, 3, 2, 9}}}},
+};
+
 std::vector<CPUSpecificParams> cpuParams_4D = {
         CPUSpecificParams({nChw16c}, {nChw16c}, {}, {}),
         CPUSpecificParams({nchw}, {nchw}, {}, {}),
@@ -316,6 +325,10 @@ std::vector<CPUSpecificParams> cpuParams_HybridLayout_5D = {
         CPUSpecificParams({ndhwc}, {}, {}, {})
 };
 
+std::vector<CPUSpecificParams> cpuParams_NHWC_4D = {
+        CPUSpecificParams({nhwc}, {nhwc}, {}, {})
+};
+
 const std::vector<fusingSpecificParams> fusingParamsSet {
         /* activations */
         fusingSwish,
@@ -431,6 +444,19 @@ const auto params_Int32 = testing::Combine(
         testing::Values(emptyCPUSpec),
         testing::Values(emptyFusingSpec));
 
+const auto params_NHWC_SmallChannel = testing::Combine(
+        testing::Combine(
+                testing::ValuesIn(axesHW),
+                testing::Values(CommonTestUtils::OpType::VECTOR),
+                testing::Values(true),
+                testing::ValuesIn(reductionTypes),
+                testing::ValuesIn(inpOutPrc),
+                testing::Values(ElementType::undefined),
+                testing::Values(ElementType::undefined),
+                testing::ValuesIn(inputShapes_SmallChannel)),
+        testing::ValuesIn(filterCPUSpecificParams(cpuParams_NHWC_4D)),
+        testing::Values(emptyFusingSpec));
+
 INSTANTIATE_TEST_SUITE_P(
         smoke_Reduce_OneAxis_CPU,
         ReduceCPULayerTest,
@@ -480,6 +506,13 @@ INSTANTIATE_TEST_SUITE_P(
         ReduceCPULayerTest::getTestCaseName
 );
 
+INSTANTIATE_TEST_SUITE_P(
+        smoke_Reducea_NHWC_SmallChannel_CPU,
+        ReduceCPULayerTest,
+        params_NHWC_SmallChannel,
+        ReduceCPULayerTest::getTestCaseName
+);
+
 /* ================================ 1.2 No fusion - Logical ================================ */
 const auto params_OneAxis_Logical = testing::Combine(
         testing::Combine(