diff --git a/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h b/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h
index d006929..f38ecdb 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h
@@ -131,24 +131,24 @@
      * @param[in]  min                          (Optional) Min value used to saturate down the output result before converting back to QASYMM8
      * @param[in]  max                          (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
      *                                          Along with @p min, this value can be used to implement "rectified linear unit" activation functions
-     * @param[in]  gemm_3d_depth                (Optional)     Depth of GEMM 3D (Defaults to 1)
+     * @param[in]  output_3d_depth              (Optional) Depth of output in 3D (Defaults to 1)
      */
     void configure(const ITensor *input, const ITensor *bias, ITensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift,
-                   int min = 0, int max = 0, unsigned int gemm_3d_depth = 1);
+                   int min = 0, int max = 0, unsigned int output_3d_depth = 1);
     /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint
      *
-     * @param[in] input         Input tensor. It is the output of @ref NEGEMMLowpMatrixMultiplyCore function. Data type supported: S32
-     * @param[in] bias          Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases is not required.
-     *                          Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
-     * @param[in] output        Output tensor. Data type supported: Data type supported: QASYMM8
-     * @param[in] min           (Optional) Min value used to saturate down the output result before converting back to QASYMM8
-     * @param[in] max           (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
-     *                          Along with @p min, this value can be used to implement "rectified linear unit" activation functions
-     * @param[in] gemm_3d_depth (Optional) Depth of GEMM 3D (Defaults to 1)
+     * @param[in] input           Input tensor. It is the output of @ref NEGEMMLowpMatrixMultiplyCore function. Data type supported: S32
+     * @param[in] bias            Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases is not required.
+     *                            Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
+     * @param[in] output          Output tensor. Data type supported: Data type supported: QASYMM8
+     * @param[in] min             (Optional) Min value used to saturate down the output result before converting back to QASYMM8
+     * @param[in] max             (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
+     *                            Along with @p min, this value can be used to implement "rectified linear unit" activation functions
+     * @param[in] output_3d_depth (Optional) Depth of output in 3D (Defaults to 1)
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0, unsigned int gemm_3d_depth = 1);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0, unsigned int output_3d_depth = 1);
 };
 } // namespace arm_compute
 #endif /*__ARM_COMPUTE_NEGEMMLOWPOUTPUTSTAGE_H__ */
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