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diff --git a/tensorflow/contrib/lite/tools/benchmark/benchmark_test.cc b/tensorflow/contrib/lite/tools/benchmark/benchmark_test.cc
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+++ b/tensorflow/contrib/lite/tools/benchmark/benchmark_test.cc
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+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+#include <iostream>
+#include <string>
+#include <vector>
+
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+#include "tensorflow/contrib/lite/testing/util.h"
+#include "tensorflow/contrib/lite/tools/benchmark/benchmark_tflite_model.h"
+#include "tensorflow/contrib/lite/tools/benchmark/command_line_flags.h"
+
+namespace {
+const std::string* g_model_path = nullptr;
+}
+
+namespace tflite {
+namespace benchmark {
+namespace {
+
+BenchmarkParams CreateParams() {
+  BenchmarkParams params;
+  params.AddParam("num_runs", BenchmarkParam::Create<int32_t>(2));
+  params.AddParam("run_delay", BenchmarkParam::Create<float>(-1.0f));
+  params.AddParam("num_threads", BenchmarkParam::Create<int32_t>(1));
+  params.AddParam("benchmark_name", BenchmarkParam::Create<std::string>(""));
+  params.AddParam("output_prefix", BenchmarkParam::Create<std::string>(""));
+  params.AddParam("warmup_runs", BenchmarkParam::Create<int32_t>(1));
+  params.AddParam("graph", BenchmarkParam::Create<std::string>(*g_model_path));
+  params.AddParam("input_layer", BenchmarkParam::Create<std::string>(""));
+  params.AddParam("input_layer_shape", BenchmarkParam::Create<std::string>(""));
+  params.AddParam("use_nnapi", BenchmarkParam::Create<bool>(false));
+  return params;
+}
+
+TEST(BenchmarkTest, DoesntCrash) {
+  ASSERT_THAT(g_model_path, testing::NotNull());
+
+  BenchmarkTfLiteModel benchmark(CreateParams());
+  benchmark.Run();
+}
+
+}  // namespace
+}  // namespace benchmark
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  std::string model_path;
+  std::vector<tflite::Flag> flags = {
+      tflite::Flag::CreateFlag("graph", &model_path, "Path to model file.")};
+  g_model_path = &model_path;
+  const bool parse_result =
+      tflite::Flags::Parse(&argc, const_cast<const char**>(argv), flags);
+  if (!parse_result) {
+    std::cerr << tflite::Flags::Usage(argv[0], flags);
+    return 1;
+  }
+
+  ::tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}