diff --git a/tests/validation/NEON/Threshold.cpp b/tests/validation/NEON/Threshold.cpp
new file mode 100644
index 0000000..6ac6f3d
--- /dev/null
+++ b/tests/validation/NEON/Threshold.cpp
@@ -0,0 +1,154 @@
+/*
+ * Copyright (c) 2017 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 "Globals.h"
+#include "NEON/Helper.h"
+#include "NEON/NEAccessor.h"
+#include "TensorLibrary.h"
+#include "TypePrinter.h"
+#include "Utils.h"
+#include "dataset/ThresholdDataset.h"
+#include "validation/Datasets.h"
+#include "validation/Reference.h"
+#include "validation/Validation.h"
+
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEThreshold.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include "boost_wrapper.h"
+
+#include <random>
+#include <string>
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::neon;
+using namespace arm_compute::test::validation;
+
+namespace
+{
+/** Compute Threshold function.
+ *
+ * @param[in] shape       Shape of the input and output tensors.
+ * @param[in] threshold   Threshold. When the threshold type is RANGE, this is used as the lower threshold.
+ * @param[in] false_value value to set when the condition is not respected.
+ * @param[in] true_value  value to set when the condition is respected.
+ * @param[in] type        Thresholding type. Either RANGE or BINARY.
+ * @param[in] upper       Upper threshold. Only used when the thresholding type is RANGE.
+ *
+ * @return Computed output tensor.
+ */
+Tensor compute_threshold(const TensorShape &shape, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper)
+{
+    // Create tensors
+    Tensor src1 = create_tensor(shape, DataType::U8);
+    Tensor dst  = create_tensor(shape, DataType::U8);
+
+    // Create and configure function
+    NEThreshold thrsh;
+    thrsh.configure(&src1, &dst, threshold, false_value, true_value, type, upper);
+
+    // Allocate tensors
+    src1.allocator()->allocate();
+    dst.allocator()->allocate();
+
+    BOOST_TEST(!src1.info()->is_resizable());
+    BOOST_TEST(!dst.info()->is_resizable());
+
+    // Fill tensors
+    library->fill_tensor_uniform(NEAccessor(src1), 0);
+
+    // Compute function
+    thrsh.run();
+
+    return dst;
+}
+} // namespace
+
+#ifndef DOXYGEN_SKIP_THIS
+BOOST_AUTO_TEST_SUITE(NEON)
+BOOST_AUTO_TEST_SUITE(Threshold)
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(Configuration,
+                     (SmallShapes() + LargeShapes()) * ThresholdDataset(),
+                     shape, thrshConf)
+{
+    // Create tensors
+    Tensor src1 = create_tensor(shape, DataType::U8);
+    Tensor dst  = create_tensor(shape, DataType::U8);
+
+    BOOST_TEST(src1.info()->is_resizable());
+    BOOST_TEST(dst.info()->is_resizable());
+
+    // Create and configure function
+    NEThreshold thrsh;
+    thrsh.configure(&src1, &dst, thrshConf.threshold, thrshConf.false_value, thrshConf.true_value, thrshConf.type, thrshConf.upper);
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(shape);
+    validate(src1.info()->valid_region(), valid_region);
+    validate(dst.info()->valid_region(), valid_region);
+
+    // Validate padding
+    const PaddingSize padding(0, required_padding(shape.x(), 16), 0, 0);
+    validate(src1.info()->padding(), padding);
+    validate(dst.info()->padding(), padding);
+}
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall,
+                     SmallShapes() * ThresholdDataset(),
+                     shape, thrshConf)
+{
+    // Compute function
+    Tensor dst = compute_threshold(shape, thrshConf.threshold, thrshConf.false_value, thrshConf.true_value, thrshConf.type, thrshConf.upper);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_threshold(shape, thrshConf.threshold, thrshConf.false_value, thrshConf.true_value, thrshConf.type, thrshConf.upper);
+
+    // Validate output
+    validate(NEAccessor(dst), ref_dst);
+}
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(RunLarge,
+                     LargeShapes() * ThresholdDataset(),
+                     shape, thrshConf)
+{
+    // Compute function
+    Tensor dst = compute_threshold(shape, thrshConf.threshold, thrshConf.false_value, thrshConf.true_value, thrshConf.type, thrshConf.upper);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_threshold(shape, thrshConf.threshold, thrshConf.false_value, thrshConf.true_value, thrshConf.type, thrshConf.upper);
+
+    // Validate output
+    validate(NEAccessor(dst), ref_dst);
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+#endif