diff --git a/src/core/CL/cl_kernels/pooling_layer_quantized.cl b/src/core/CL/cl_kernels/pooling_layer_quantized.cl
index 98850c0..17d893a 100644
--- a/src/core/CL/cl_kernels/pooling_layer_quantized.cl
+++ b/src/core/CL/cl_kernels/pooling_layer_quantized.cl
@@ -31,6 +31,8 @@
 
 #define DIV_OP(x, y) (x * (1.f / y))
 
+#define DIV_OP_NHWC(x, y) (convert_float8(x) * (float8)(1.f / y))
+
 #if defined(POOL_L2)
 #error "L2 pooling is not supported"
 #endif /* defined(POOL_L2) */
@@ -49,7 +51,7 @@
     return ((end_y - start_y) * (end_x - start_x));
 }
 
-/** Performs a pooling function of pool size equal to N
+/** Performs a pooling function of pool size equal to N (NCHW)
  *
  * @note Pool sizes must be passed using -DPOOL_SIZE_X and -DPOOL_SIZE_Y e.g. -DPOOL_SIZE_X=13;
  * @note In case of average pooling the following information must be passed at compile time:
@@ -75,7 +77,7 @@
  * @param[in]  output_step_z                        output_stride_z * number of elements along Z processed per workitem(in bytes)
  * @param[in]  output_offset_first_element_in_bytes The offset of the first element in the destination image
  */
-__kernel void pooling_layer_MxN_quantized(
+__kernel void pooling_layer_MxN_quantized_nchw(
     TENSOR3D_DECLARATION(input),
     TENSOR3D_DECLARATION(output))
 {
@@ -119,3 +121,79 @@
     // Store result
     *(__global uchar *)output.ptr = convert_uchar(res);
 }
+
+int calculate_avg_scale_nhwc(const int pool_size_x, const int pool_size_y, int upper_bound_w, int upper_bound_h,
+                             const int pad_x, const int pad_y, const int stride_x, const int stride_y)
+{
+    int start_x = get_global_id(1) * stride_x - pad_x;
+    int start_y = get_global_id(2) * stride_y - pad_y;
+
+    const int end_x = min(start_x + pool_size_x, upper_bound_w);
+    const int end_y = min(start_y + pool_size_y, upper_bound_h);
+
+    start_x = max(0, start_x);
+    start_y = max(0, start_y);
+
+    return ((end_y - start_y) * (end_x - start_x));
+}
+
+/** Performs a pooling function of pool size equal to N (NHWC)
+ *
+ * @note Pool sizes must be passed using -DPOOL_SIZE_X and -DPOOL_SIZE_Y e.g. -DPOOL_SIZE_X=13;
+ * @note Tensors width and height must be passed at compile time using -DMAX_WIDTH and -DMAX_HEIGHT
+ * @note Strides must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y which are the steps of the window along the x and y directions
+ * @note Pad values must be passed at compile time using -DPAD_X and -DPAD_Y which are the pooling paddings in x and y dimension
+ * @note In case of average pooling the following information must be passed at compile time:
+ *       -DPOOL_AVG must be provided otherwise max pooling will be performed.
+ *
+ * @param[in]  input_ptr                            Pointer to the source image. Supported data types: QASYMM8
+ * @param[in]  input_stride_x                       Stride of the source image in X dimension (in bytes)
+ * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  input_stride_y                       Stride of the source image in Y dimension (in bytes)
+ * @param[in]  input_step_y                         input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  input_stride_z                       Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  input_step_z                         input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  input_offset_first_element_in_bytes  The offset of the first element in the source image
+ * @param[out] output_ptr                           Pointer to the destination image. Supported data types: same as @p input_ptr
+ * @param[in]  output_stride_x                      Stride of the destination image in X dimension (in bytes)
+ * @param[in]  output_step_x                        output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  output_stride_y                      Stride of the destination image in Y dimension (in bytes)
+ * @param[in]  output_step_y                        output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  output_stride_z                      Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  output_step_z                        output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  output_offset_first_element_in_bytes The offset of the first element in the destination image
+ */
+__kernel void pooling_layer_MxN_quantized_nhwc(
+    TENSOR3D_DECLARATION(input),
+    TENSOR3D_DECLARATION(output))
+{
+    // Get pixels pointer
+    Tensor3D input  = CONVERT_TO_TENSOR3D_STRUCT(input);
+    Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+
+    int8 vdata = 0;
+
+    const int idx_width  = get_global_id(1) * STRIDE_X;
+    const int idx_height = get_global_id(2) * STRIDE_Y;
+
+    for(int y = 0; y < POOL_SIZE_Y; ++y)
+    {
+        int y1 = select(y, PAD_Y - idx_height, y + idx_height < PAD_Y || y + idx_height > MAX_HEIGHT);
+        for(int x = 0; x < POOL_SIZE_X; ++x)
+        {
+            int x1      = select(x, PAD_X - idx_width - 1, x + idx_width < PAD_X || x + idx_width > MAX_WIDTH);
+            x1          = select(x1, PAD_X - idx_width - 1, y != y1);
+            uchar8 data = vload8(0, (__global uchar *)tensor3D_offset(&input, 0, x1 - PAD_X, y1 - PAD_Y));
+            int8 data0  = convert_int8(data);
+            vdata       = POOL_OP(vdata, data0);
+        }
+    }
+
+#if defined(POOL_AVG)
+    // Divide by pool region in case of average pooling
+    vdata = convert_int8(round(DIV_OP_NHWC(vdata, calculate_avg_scale_nhwc(POOL_SIZE_X, POOL_SIZE_Y, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y))));
+#endif /* defined(POOL_AVG) */
+
+    // Store result
+    vstore8(convert_uchar8(vdata), 0, (__global uchar *)output.ptr);
+}
\ No newline at end of file