diff --git a/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h b/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h
index feb2087..77f0612 100644
--- a/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h
@@ -50,7 +50,7 @@
      *
      * @param[in, out] input    Source tensor. In case of @p output tensor = nullptr, this tensor will store the result.
      *                          3 lower dimensions represent a single input with dimensions [width, height, FM].
-     *                          The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32.
+     *                          The rest are optional and used for representing batches. Data types supported: F16/F32.
      * @param[out]     output   Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input
      * @param[in]      mean     Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
      * @param[in]      var      Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
@@ -65,7 +65,7 @@
      *
      * @param[in] input    Source tensor info. In case of @p output tensor = nullptr, this tensor will store the result.
      *                     3 lower dimensions represent a single input with dimensions [width, height, FM].
-     *                     The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32.
+     *                     The rest are optional and used for representing batches. Data types supported: F16/F32.
      * @param[in] output   Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as @p input
      * @param[in] mean     Mean values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
      * @param[in] var      Variance values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input