diff --git a/src/core/CL/cl_kernels/depth_convert.cl b/src/core/CL/cl_kernels/depth_convert.cl
index 01491ec..611449e 100644
--- a/src/core/CL/cl_kernels/depth_convert.cl
+++ b/src/core/CL/cl_kernels/depth_convert.cl
@@ -24,8 +24,13 @@
 #include "helpers.h"
 
 #ifdef SATURATE
+#if defined(IS_DATA_TYPE_FLOAT)
+#define CONVERT_RTE(x, type) (convert_##type##_rte((x)))
+#define CONVERT_DOWN(x, type) CONVERT_RTE(x, type)
+#else /* defined(IS_DATA_TYPE_FLOAT) */
 #define CONVERT_DOWN(x, type) CONVERT_SAT(x, type)
-#else /* SATURATE */
+#endif /* defined(IS_DATA_TYPE_FLOAT) */
+#else  /* SATURATE */
 #define CONVERT_DOWN(x, type) CONVERT(x, type)
 #endif /* SATURATE */
 
@@ -36,13 +41,13 @@
  * @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN and -DDATA_TYPE_OUT:
  * e.g. -DDATA_TYPE_IN=uchar -DDATA_TYPE_OUT=short
  *
- * @param[in]  in_ptr                            Pointer to the source image. Supported data types: U8, U16, S16, U32, S32, F16, F32
+ * @param[in]  in_ptr                            Pointer to the source image. Supported data types: U8/U16/S16/U32/S32/F16/F32
  * @param[in]  in_stride_x                       Stride of the source image in X dimension (in bytes)
  * @param[in]  in_step_x                         in_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  in_stride_y                       Stride of the source image in Y dimension (in bytes)
  * @param[in]  in_step_y                         in_stride_y * number of elements along Y processed per workitem(in bytes)
  * @param[in]  in_offset_first_element_in_bytes  The offset of the first element in the source image
- * @param[out] out_ptr                           Pointer to the destination image. Supported data types: U8, U16, S16, U32, S32
+ * @param[out] out_ptr                           Pointer to the destination image. Supported data types: U8/U16/S16/U32/S32/F16/F32
  * @param[in]  out_stride_x                      Stride of the destination image in X dimension (in bytes)
  * @param[in]  out_step_x                        out_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  out_stride_y                      Stride of the destination image in Y dimension (in bytes)
@@ -63,7 +68,12 @@
     VEC_DATA_TYPE(DATA_TYPE_IN, 16)
     in_data = vload16(0, (__global DATA_TYPE_IN *)in.ptr);
 
+#if defined(IS_DATA_TYPE_FLOAT)
+    const DATA_TYPE_IN scale = (DATA_TYPE_IN)(1 << shift);
+    vstore16(CONVERT_DOWN(in_data / scale, VEC_DATA_TYPE(DATA_TYPE_OUT, 16)), 0, (__global DATA_TYPE_OUT *)out.ptr);
+#else  /* defined(IS_DATA_TYPE_FLOAT) */
     vstore16(CONVERT_DOWN(in_data >> shift, VEC_DATA_TYPE(DATA_TYPE_OUT, 16)), 0, (__global DATA_TYPE_OUT *)out.ptr);
+#endif /* defined(IS_DATA_TYPE_FLOAT) */
 }
 
 /** This function performs a up-scaling depth conversion.
@@ -71,13 +81,13 @@
  * @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN and -DDATA_TYPE_OUT:
  * e.g. -DDATA_TYPE_IN=uchar -DDATA_TYPE_OUT=short
  *
- * @param[in]  in_ptr                            Pointer to the source image. Supported data types: U8, U16, S16, U32 or S32
+ * @param[in]  in_ptr                            Pointer to the source image. Supported data types: U8/U16/S16/U32/S32/F16/F32
  * @param[in]  in_stride_x                       Stride of the source image in X dimension (in bytes)
  * @param[in]  in_step_x                         in_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  in_stride_y                       Stride of the source image in Y dimension (in bytes)
  * @param[in]  in_step_y                         in_stride_y * number of elements along Y processed per workitem(in bytes)
  * @param[in]  in_offset_first_element_in_bytes  The offset of the first element in the source image
- * @param[out] out_ptr                           Pointer to the destination image. Supported data types: U8, U16, S16, U32, S32, F16 or F32
+ * @param[out] out_ptr                           Pointer to the destination image. Supported data types: U8/U16/S16/U32/S32/F16/F32
  * @param[in]  out_stride_x                      Stride of the destination image in X dimension (in bytes)
  * @param[in]  out_step_x                        out_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  out_stride_y                      Stride of the destination image in Y dimension (in bytes)
@@ -98,5 +108,10 @@
     VEC_DATA_TYPE(DATA_TYPE_IN, 16)
     in_data = vload16(0, (__global DATA_TYPE_IN *)in.ptr);
 
+#if defined(IS_DATA_TYPE_FLOAT)
+    const DATA_TYPE_OUT scale = (DATA_TYPE_OUT)(1 << shift);
+    vstore16(CONVERT_UP(in_data, VEC_DATA_TYPE(DATA_TYPE_OUT, 16)) * scale, 0, (__global DATA_TYPE_OUT *)out.ptr);
+#else  /* defined(IS_DATA_TYPE_FLOAT) */
     vstore16(CONVERT_UP(in_data, VEC_DATA_TYPE(DATA_TYPE_OUT, 16)) << shift, 0, (__global DATA_TYPE_OUT *)out.ptr);
+#endif /* defined(IS_DATA_TYPE_FLOAT) */
 }
diff --git a/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp b/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp
index 2f5b246..ffbd295 100644
--- a/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp
+++ b/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp
@@ -25,6 +25,7 @@
 
 #include "arm_compute/core/CL/CLHelpers.h"
 #include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/CLValidate.h"
 #include "arm_compute/core/CL/ICLTensor.h"
 #include "arm_compute/core/CL/OpenCL.h"
 #include "arm_compute/core/Error.h"
@@ -38,64 +39,83 @@
 
 using namespace arm_compute;
 
-void CLDepthConvertLayerKernel::configure(const ICLTensor *input, ICLTensor *output, ConvertPolicy policy, uint32_t shift)
+namespace
 {
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16,
-                                                  DataType::U16, DataType::U32, DataType::S32);
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16,
-                                                  DataType::U16, DataType::U32, DataType::S32, DataType::F32);
-    ARM_COMPUTE_ERROR_ON(input == output);
-    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == output->info()->data_type(), "Input and output data types must be different");
-    ARM_COMPUTE_ERROR_ON(shift >= 8);
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, ConvertPolicy policy, uint32_t shift)
+{
+    ARM_COMPUTE_UNUSED(policy);
+    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
+    ARM_COMPUTE_RETURN_ERROR_ON(input == output);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16,
+                                                         DataType::U16, DataType::U32, DataType::S32,
+                                                         DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16,
+                                                         DataType::U16, DataType::U32, DataType::S32,
+                                                         DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == output->data_type(), "Input and output data types must be different");
+    ARM_COMPUTE_RETURN_ERROR_ON(shift >= 8);
 
     // Check if convertion is supported
-    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U8 && (output->info()->data_type() != DataType::U16 && output->info()->data_type() != DataType::S16
-                                                                            && output->info()->data_type() != DataType::U32 && output->info()->data_type() != DataType::S32),
-                             "Only data types supported [in] U8 -> [out] U16, S16, U32, S32");
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::U8 && (output->data_type() != DataType::U16 && output->data_type() != DataType::S16
+                                                                           && output->data_type() != DataType::U32 && output->data_type() != DataType::S32),
+                                    "Only data types supported [in] U8 -> [out] U16, S16, U32, S32");
 
-    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U16 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U32
-                                                                             && output->info()->data_type() != DataType::S32),
-                             "Only data types supported [in] U16 ->  [out] U8, U32, S32");
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::U16 && (output->data_type() != DataType::U8 && output->data_type() != DataType::U32
+                                                                            && output->data_type() != DataType::S32),
+                                    "Only data types supported [in] U16 ->  [out] U8, U32, S32");
 
-    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::S16 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U32
-                                                                             && output->info()->data_type() != DataType::S32),
-                             "Only data types supported [in] S16 ->  [out] U8, U32, S32");
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::S16 && (output->data_type() != DataType::U8 && output->data_type() != DataType::U32
+                                                                            && output->data_type() != DataType::S32),
+                                    "Only data types supported [in] S16 ->  [out] U8, U32, S32");
 
-    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U32 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U16
-                                                                             && output->info()->data_type() != DataType::S16),
-                             "Only data types supported [in] U32 ->  [out] U8, U16, S16");
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::U32 && (output->data_type() != DataType::U8 && output->data_type() != DataType::U16
+                                                                            && output->data_type() != DataType::S16),
+                                    "Only data types supported [in] U32 ->  [out] U8, U16, S16");
 
-    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::S32 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U16
-                                                                             && output->info()->data_type() != DataType::S16),
-                             "Only data types supported [in] S32 ->  [out] U8, U16, S16");
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::S32 && (output->data_type() != DataType::U8 && output->data_type() != DataType::U16
+                                                                            && output->data_type() != DataType::S16),
+                                    "Only data types supported [in] S32 ->  [out] U8, U16, S16");
+
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::F16 && output->data_type() != DataType::F32,
+                                    "Only data types supported [in] F16 ->  [out] F32");
+
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::F32 && output->data_type() != DataType::F16,
+                                    "Only data types supported [in] F32 ->  [out] F16");
+
+    // Validate in case of configured output
+    if(output->total_size() > 0)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
+    }
+
+    return Status{};
+}
+} // namespace
+
+void CLDepthConvertLayerKernel::configure(const ICLTensor *input, ICLTensor *output, ConvertPolicy policy, uint32_t shift)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
 
     // Auto initialize output shape if not initialized (We can only auto-configure the shape, datatype must be given)
     set_shape_if_empty(*output->info(), input->info()->tensor_shape());
 
-    ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
+    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), policy, shift));
 
     // Get data sizes
     const size_t input_size  = data_size_from_type(input->info()->data_type());
     const size_t output_size = data_size_from_type(output->info()->data_type());
 
-    // Construct kernel name and build options
-    std::string           kernel_name = "convert_depth";
-    std::set<std::string> build_opts;
-    if(input_size > output_size)
-    {
-        kernel_name += "_down";
-        // Down conversions from float always SATURATE as out-of-bounds conversion from float->integer is implementation defined
-        build_opts.insert(((policy == ConvertPolicy::WRAP) && !is_data_type_float(input->info()->data_type())) ? "-DWRAP" : "-DSATURATE");
-    }
-    else
-    {
-        kernel_name += "_up";
-    }
-    build_opts.emplace("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(input->info()->data_type()));
-    build_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
+    // Set build options
+    CLBuildOptions build_opts;
+    build_opts.add_option("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(input->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
+    // Down conversions from float always SATURATE as out-of-bounds conversion from float->integer is implementation defined
+    build_opts.add_option_if(input_size > output_size, ((policy == ConvertPolicy::WRAP) && !is_data_type_float(input->info()->data_type())) ? "-DWRAP" : "-DSATURATE");
+    build_opts.add_option_if(is_data_type_float(input->info()->data_type()), "-DIS_DATA_TYPE_FLOAT");
 
     // Create kernel
-    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts));
+    const std::string kernel_name = (input_size > output_size) ? "convert_depth_down" : "convert_depth_up";
+    _kernel                       = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options()));
 
     // Set shift arg
     unsigned int idx = 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters
@@ -105,3 +125,10 @@
     constexpr unsigned int num_elems_processed_per_iteration = 16;
     ICLSimple2DKernel::configure(input, output, num_elems_processed_per_iteration);
 }
+
+Status CLDepthConvertLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, ConvertPolicy policy, uint32_t shift)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, policy, shift));
+
+    return Status{};
+}