diff --git a/tests/validation/NEON/InstanceNormalizationLayer.cpp b/tests/validation/NEON/InstanceNormalizationLayer.cpp
new file mode 100644
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--- /dev/null
+++ b/tests/validation/NEON/InstanceNormalizationLayer.cpp
@@ -0,0 +1,140 @@
+/*
+ * Copyright (c) 2019 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 "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEInstanceNormalizationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/InstanceNormalizationLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+/** Tolerance for float operations */
+AbsoluteTolerance<float> tolerance_f32(0.001f);
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+AbsoluteTolerance<float> tolerance_f16(0.2f);
+#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+} // namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(InstanceNormalizationLayer)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
+    framework::dataset::make("InputInfo",  { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching data type input/output
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching shape input/output
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), // Number of Input channels != 1
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), // DataType != F32
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
+                                           }),
+    framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16),
+                                             TensorInfo(TensorShape(256U, 64U, 32U, 4U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16),
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
+                                           })),
+    framework::dataset::make("Expected",   { false, false, false, false, true, true, true, true })),
+    input_info, output_info, expected)
+{
+    bool is_valid = bool(NEInstanceNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false),
+                                                      &output_info.clone()->set_is_resizable(false)
+                                                      ));
+    ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using NEInstanceNormalizationLayerFixture = InstanceNormalizationLayerValidationFixture<Tensor, Accessor, NEInstanceNormalizationLayer, T>;
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
+                       combine(combine(combine(datasets::Small4DShapes(),
+                                               framework::dataset::make("DataType", DataType::F32)),
+                                       framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+                               framework::dataset::make("InPlace", { false, true })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
+                       combine(combine(combine(datasets::Large4DShapes(),
+                                               framework::dataset::make("DataType", DataType::F32)),
+                                       framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+                               framework::dataset::make("InPlace", { false, true })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END() // FP32
+
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
+                       combine(combine(combine(datasets::SmallShapes(),
+                                               framework::dataset::make("DataType", DataType::F16)),
+                                       framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+                               framework::dataset::make("InPlace", { false, true })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f16);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::NIGHTLY,
+                       combine(combine(combine(datasets::LargeShapes(),
+                                               framework::dataset::make("DataType", DataType::F16)),
+                                       framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+                               framework::dataset::make("InPlace", { false, true })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f16);
+}
+TEST_SUITE_END() // FP16
+#endif           // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+
+TEST_SUITE_END() // InstanceNormalizationLayer
+TEST_SUITE_END() // NEON
+} // namespace validation
+} // namespace test
+} // namespace arm_compute