diff --git a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
index 050bbb8..5b00fd1 100644
--- a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
+++ b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
@@ -51,9 +51,9 @@
     ARM_COMPUTE_UNUSED(rounding_policy);
 
     ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input1);
-    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::QASYMM8, DataType::S16, DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::QASYMM8, DataType::S16, DataType::QSYMM16, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input2);
-    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::QASYMM8, DataType::S16, DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::QASYMM8, DataType::S16, DataType::QSYMM16, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(scale < 0, "Scale cannot be negative.");
 
     const TensorShape &out_shape = TensorShape::broadcast_shape(input1->tensor_shape(), input2->tensor_shape());
@@ -64,9 +64,13 @@
     if(output->total_size() > 0)
     {
         ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(output);
-        ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QASYMM8, DataType::S16, DataType::F16, DataType::F32);
+        ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QASYMM8, DataType::S16, DataType::QSYMM16, DataType::F16, DataType::F32);
         ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() == DataType::U8 && (input1->data_type() != DataType::U8 || input2->data_type() != DataType::U8),
                                         "Output can only be U8 if both inputs are U8");
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() == DataType::QASYMM8 && (input1->data_type() != DataType::QASYMM8 || input2->data_type() != DataType::QASYMM8),
+                                        "Output can only be QASYMM8 if both inputs are QASYMM8");
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() == DataType::QSYMM16 && (input1->data_type() != DataType::QSYMM16 || input2->data_type() != DataType::QSYMM16),
+                                        "Output can only be QSYMM16 if both inputs are QSYMM16");
         ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, output->tensor_shape(), 0), "Wrong shape for output");
     }
 
@@ -91,6 +95,14 @@
         {
             set_format_if_unknown(*output, Format::F32);
         }
+        else if(input1->data_type() == DataType::QASYMM8)
+        {
+            set_data_type_if_unknown(*output, DataType::QASYMM8);
+        }
+        else if(input1->data_type() == DataType::QSYMM16)
+        {
+            set_data_type_if_unknown(*output, DataType::QSYMM16);
+        }
     }
 
     Window win        = calculate_max_window(valid_region, Steps(num_elems_processed_per_iteration));
@@ -146,14 +158,12 @@
         scale_int = std::abs(exponent - 1);
     }
 
-    std::string data_type;
     std::string compute_type;
     // Check if it has float inputs and output
     if(is_data_type_float(input1->info()->data_type()) || is_data_type_float(input2->info()->data_type()))
     {
         scale_int    = -1;
         compute_type = (input1->info()->data_type() == DataType::F32 || input2->info()->data_type() == DataType::F32) ? "float" : "half";
-        data_type    = "DATA_TYPE_FLOAT";
     }
     else
     {
@@ -165,41 +175,39 @@
         {
             compute_type = "ushort";
         }
-        data_type = "DATA_TYPE_INT";
     }
 
-    const bool is_quantized = is_data_type_quantized_asymmetric(input1->info()->data_type());
-
-    // Construct kernel name
-    std::string kernel_name = "pixelwise_mul";
-    if(!is_data_type_quantized(output->info()->data_type()))
-    {
-        kernel_name += (scale_int >= 0) ? "_int" : "_float";
-    }
+    const bool is_quantized = is_data_type_quantized(input1->info()->data_type());
 
     // Set kernel build options
+    std::string    kernel_name = "pixelwise_mul";
     CLBuildOptions build_opts;
+    build_opts.add_option("-DDATA_TYPE_IN1=" + get_cl_type_from_data_type(input1->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE_IN2=" + get_cl_type_from_data_type(input2->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
+    build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
     if(is_quantized)
     {
         const UniformQuantizationInfo iq1_info = input1->info()->quantization_info().uniform();
         const UniformQuantizationInfo iq2_info = input2->info()->quantization_info().uniform();
         const UniformQuantizationInfo oq_info  = output->info()->quantization_info().uniform();
 
-        build_opts.add_option("-DOFFSET_IN1=" + support::cpp11::to_string(iq1_info.offset));
-        build_opts.add_option("-DOFFSET_IN2=" + support::cpp11::to_string(iq2_info.offset));
-        build_opts.add_option("-DOFFSET_OUT=" + support::cpp11::to_string(oq_info.offset));
-        build_opts.add_option("-DSCALE_IN1=" + support::cpp11::to_string(iq1_info.scale));
-        build_opts.add_option("-DSCALE_IN2=" + support::cpp11::to_string(iq2_info.scale));
-        build_opts.add_option("-DSCALE_OUT=" + support::cpp11::to_string(oq_info.scale));
+        build_opts.add_option_if(is_data_type_quantized_asymmetric(input1->info()->data_type()),
+                                 "-DOFFSET_IN1=" + support::cpp11::to_string(iq1_info.offset));
+        build_opts.add_option_if(is_data_type_quantized_asymmetric(input2->info()->data_type()),
+                                 "-DOFFSET_IN2=" + support::cpp11::to_string(iq2_info.offset));
+        build_opts.add_option_if(is_data_type_quantized_asymmetric(output->info()->data_type()),
+                                 "-DOFFSET_OUT=" + support::cpp11::to_string(oq_info.offset));
+        build_opts.add_option("-DSCALE_IN1=" + float_to_string_with_full_precision(iq1_info.scale));
+        build_opts.add_option("-DSCALE_IN2=" + float_to_string_with_full_precision(iq2_info.scale));
+        build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(oq_info.scale));
         kernel_name += "_quantized";
     }
     else
     {
+        kernel_name += (scale_int >= 0) ? "_int" : "_float";
         build_opts.add_option_if_else(overflow_policy == ConvertPolicy::WRAP || is_data_type_float(output->info()->data_type()), "-DWRAP", "-DSATURATE");
         build_opts.add_option_if_else(rounding_policy == RoundingPolicy::TO_ZERO, "-DROUND=_rtz", "-DROUND=_rte");
-        build_opts.add_option("-DDATA_TYPE_IN1=" + get_cl_type_from_data_type(input1->info()->data_type()));
-        build_opts.add_option("-DDATA_TYPE_IN2=" + get_cl_type_from_data_type(input2->info()->data_type()));
-        build_opts.add_option("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
         build_opts.add_option("-DDATA_TYPE_RES=" + compute_type);
     }
 
@@ -207,7 +215,7 @@
     _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options()));
 
     // Set scale argument
-    unsigned int idx = 3 * num_arguments_per_3D_tensor(); //Skip the inputs and output parameters
+    unsigned int idx = 3 * num_arguments_per_3D_tensor(); // Skip the inputs and output parameters
 
     if(scale_int >= 0 && !is_quantized)
     {
@@ -415,4 +423,4 @@
     const unsigned int border        = std::min<unsigned int>(num_elems_processed_per_iteration_complex - 1U, replicateSize);
     return BorderSize{ 0, border, 0, 0 };
 }
-} // namespace arm_compute
\ No newline at end of file
+} // namespace arm_compute