diff --git a/src/gpu/cl/operators/ClGemmLowpOutputStage.cpp b/src/gpu/cl/operators/ClGemmLowpOutputStage.cpp
new file mode 100644
index 0000000..27fb892
--- /dev/null
+++ b/src/gpu/cl/operators/ClGemmLowpOutputStage.cpp
@@ -0,0 +1,98 @@
+/*
+ * Copyright (c) 2017-2021 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "src/gpu/cl/operators/ClGemmLowpOutputStage.h"
+
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/CLScheduler.h"
+
+#include "src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel.h"
+#include "src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFloatKernel.h"
+#include "src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleKernel.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+void ClGemmLowpOutputStage::configure(const CLCompileContext &compile_context, const ITensorInfo *src, const ITensorInfo *bias, ITensorInfo *dst, const GEMMLowpOutputStageInfo &info)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+
+    switch(info.type)
+    {
+        case GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT:
+        {
+            auto k = std::make_unique<opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel>();
+            k->configure(compile_context, src, bias, dst, &info);
+            _kernel = std::move(k);
+            break;
+        }
+        case GEMMLowpOutputStageType::QUANTIZE_DOWN:
+        {
+            auto k = std::make_unique<opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleKernel>();
+            k->configure(compile_context, src, bias, dst, &info);
+            _kernel = std::move(k);
+            break;
+        }
+        case GEMMLowpOutputStageType::QUANTIZE_DOWN_FLOAT:
+        {
+            auto k = std::make_unique<opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFloatKernel>();
+            k->configure(compile_context, src, bias, dst, &info);
+            _kernel = std::move(k);
+            break;
+        }
+        default:
+            ARM_COMPUTE_ERROR("Unsupported GEMMLowpOutputStage type.");
+    }
+}
+
+Status ClGemmLowpOutputStage::validate(const ITensorInfo *src, const ITensorInfo *bias, const ITensorInfo *dst, const GEMMLowpOutputStageInfo &info)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(dst);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM16);
+
+    switch(info.type)
+    {
+        case GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT:
+            return opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel::validate(src, bias, dst, &info);
+        case GEMMLowpOutputStageType::QUANTIZE_DOWN:
+            return opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleKernel::validate(src, bias, dst, &info);
+        case GEMMLowpOutputStageType::QUANTIZE_DOWN_FLOAT:
+            return opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::validate(src, bias, dst, &info);
+        default:
+            return ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported GEMMLowpOutputStage type.");
+    }
+}
+
+void ClGemmLowpOutputStage::run(ITensorPack &tensors)
+{
+    const ITensor *src  = tensors.get_const_tensor(ACL_SRC);
+    const ITensor *bias = tensors.get_const_tensor(ACL_BIAS);
+    ITensor       *dst  = tensors.get_tensor(ACL_DST);
+
+    ITensorPack pack{ { ACL_SRC, src }, { ACL_BIAS, bias }, { ACL_DST, dst } };
+    CLScheduler::get().enqueue_op(*_kernel, pack, true);
+}
+} // namespace opencl
+} // namespace arm_compute