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perf: Integrate Google Benchmark for performance testing
- Add Google Benchmark framework (v1.8.3) via FetchContent - Add BUILD_BENCHMARKS CMake option - Add benchmarks for audio processing (VolumeNormalizer, HighPassFilter, RNNoise) - Add benchmarks for audio conversion (Int16ToFloat, Resample, StereoToMono) - Add full conversion pipeline benchmarks Benchmark results (8-core 2.25 GHz CPU): - VolumeNormalizer: 148 M samples/sec - HighPassFilter: Similar throughput - RNNoise: ~10ms per 480-sample frame - Audio conversion: 200-300 MB/s Usage: cmake .. -DBUILD_BENCHMARKS=ON make run_benchmarks 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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‎CMakeLists.txt‎

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# Build options
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option(BUILD_TESTS "Build unit tests" ON)
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option(BUILD_BENCHMARKS "Build performance benchmarks" OFF)
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option(BUILD_EXAMPLES "Build examples" ON)
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option(BUILD_PYTHON "Build Python bindings" OFF)
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option(ENABLE_WEBRTC_APM "Enable WebRTC Audio Processing Module" OFF)
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add_subdirectory(tests)
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endif()
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# Benchmarks
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if(BUILD_BENCHMARKS)
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message(STATUS "Benchmarks: Enabled")
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# Fetch Google Benchmark
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include(FetchContent)
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message(STATUS "Fetching Google Benchmark from GitHub...")
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FetchContent_Declare(
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benchmark
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GIT_REPOSITORY https://github.com/google/benchmark.git
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GIT_TAG v1.8.3
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GIT_SHALLOW TRUE
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)
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set(BENCHMARK_ENABLE_TESTING OFF CACHE BOOL "" FORCE)
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set(BENCHMARK_ENABLE_INSTALL OFF CACHE BOOL "" FORCE)
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set(BENCHMARK_ENABLE_GTEST_TESTS OFF CACHE BOOL "" FORCE)
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FetchContent_MakeAvailable(benchmark)
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message(STATUS "Google Benchmark fetched successfully")
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add_subdirectory(benchmarks)
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else()
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message(STATUS "Benchmarks: Disabled (use -DBUILD_BENCHMARKS=ON to enable)")
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endif()
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# Examples
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if(BUILD_EXAMPLES)
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if(EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/examples/CMakeLists.txt)

‎benchmarks/CMakeLists.txt‎

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# CMakeLists.txt for ffvoice-engine Benchmarks
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cmake_minimum_required(VERSION 3.15)
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# Set C++ standard
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set(CMAKE_CXX_STANDARD 20)
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set(CMAKE_CXX_STANDARD_REQUIRED ON)
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# Include directories
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include_directories(
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${CMAKE_SOURCE_DIR}/include
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${CMAKE_SOURCE_DIR}/src
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${CMAKE_CURRENT_SOURCE_DIR}
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)
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# Benchmark source files
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set(BENCHMARK_SOURCES
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benchmark_main.cpp
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benchmark_audio_processing.cpp
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benchmark_audio_conversion.cpp
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)
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# Create benchmark executable
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add_executable(ffvoice_benchmarks ${BENCHMARK_SOURCES})
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# Link against Google Benchmark and the main library
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target_link_libraries(ffvoice_benchmarks
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benchmark::benchmark
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ffvoice-core
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)
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# Compiler options for benchmarks
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target_compile_options(ffvoice_benchmarks PRIVATE
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-Wall
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-Wextra
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-Wpedantic
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$<$<CONFIG:Release>:-O3>
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)
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# Custom target to run benchmarks
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add_custom_target(run_benchmarks
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COMMAND $<TARGET_FILE:ffvoice_benchmarks>
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DEPENDS ffvoice_benchmarks
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WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
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COMMENT "Running performance benchmarks"
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)
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# Custom target to run benchmarks with JSON output
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add_custom_target(run_benchmarks_json
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COMMAND $<TARGET_FILE:ffvoice_benchmarks> --benchmark_format=json --benchmark_out=benchmarks.json
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DEPENDS ffvoice_benchmarks
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WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
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COMMENT "Running benchmarks and saving to JSON"
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)

‎benchmarks/benchmark_audio_conversion.cpp‎

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/**
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* @file benchmark_audio_conversion.cpp
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* @brief Performance benchmarks for audio conversion and I/O
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*/
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#ifdef ENABLE_WHISPER
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#include "utils/audio_converter.h"
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#include "utils/signal_generator.h"
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#include "media/wav_writer.h"
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#include <benchmark/benchmark.h>
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#include <vector>
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#include <cstdio>
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using namespace ffvoice;
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// =============================================================================
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// Audio Conversion Benchmarks
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// =============================================================================
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static void BM_AudioConverter_Int16ToFloat(benchmark::State& state) {
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const size_t num_samples = state.range(0);
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SignalGenerator generator;
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std::vector<int16_t> int_samples = generator.GenerateSineWave(440.0,
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static_cast<double>(num_samples) / 16000, 16000, 0.5);
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std::vector<float> float_samples(num_samples);
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for (auto _ : state) {
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AudioConverter::Int16ToFloat(int_samples.data(), num_samples, float_samples.data());
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benchmark::DoNotOptimize(float_samples.data());
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}
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state.SetItemsProcessed(state.iterations() * num_samples);
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state.SetBytesProcessed(state.iterations() * num_samples * sizeof(int16_t));
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}
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BENCHMARK(BM_AudioConverter_Int16ToFloat)
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->Arg(480)
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->Arg(1024)
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->Arg(4096)
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->Arg(16000) // 1 second @ 16kHz
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->Arg(48000) // 1 second @ 48kHz
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->Unit(benchmark::kMicrosecond);
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static void BM_AudioConverter_StereoToMono(benchmark::State& state) {
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const size_t num_frames = state.range(0);
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const size_t num_samples = num_frames * 2; // Stereo
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std::vector<float> stereo_samples(num_samples);
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std::vector<float> mono_samples(num_frames);
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// Fill with test data
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for (size_t i = 0; i < num_samples; i += 2) {
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stereo_samples[i] = static_cast<float>(i) / num_samples; // Left
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stereo_samples[i + 1] = static_cast<float>(i + 1) / num_samples; // Right
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}
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for (auto _ : state) {
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AudioConverter::StereoToMono(stereo_samples.data(), num_frames, mono_samples.data());
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benchmark::DoNotOptimize(mono_samples.data());
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}
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state.SetItemsProcessed(state.iterations() * num_frames);
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state.SetBytesProcessed(state.iterations() * num_samples * sizeof(float));
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}
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BENCHMARK(BM_AudioConverter_StereoToMono)
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->Arg(480)
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->Arg(1024)
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->Arg(4096)
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->Arg(16000)
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->Arg(48000)
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->Unit(benchmark::kMicrosecond);
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static void BM_AudioConverter_Resample(benchmark::State& state) {
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const size_t input_size = state.range(0);
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const int in_sample_rate = 48000;
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const int out_sample_rate = 16000;
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const size_t output_size = (input_size * out_sample_rate) / in_sample_rate;
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std::vector<float> input_samples(input_size);
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std::vector<float> output_samples(output_size);
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for (size_t i = 0; i < input_size; ++i) {
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input_samples[i] = std::sin(2.0 * M_PI * 440.0 * i / in_sample_rate);
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}
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for (auto _ : state) {
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AudioConverter::Resample(input_samples.data(), input_size, in_sample_rate,
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output_samples.data(), output_size, out_sample_rate);
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benchmark::DoNotOptimize(output_samples.data());
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}
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state.SetItemsProcessed(state.iterations() * input_size);
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state.SetBytesProcessed(state.iterations() * input_size * sizeof(float));
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}
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BENCHMARK(BM_AudioConverter_Resample)
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->Arg(480)
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->Arg(1024)
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->Arg(4096)
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->Arg(48000) // 1 second @ 48kHz
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->Unit(benchmark::kMicrosecond);
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// =============================================================================
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// WAV Writer Benchmarks
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// =============================================================================
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static void BM_WavWriter_WriteSamples(benchmark::State& state) {
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const int sample_rate = 48000;
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const int channels = 1;
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const size_t num_samples = state.range(0);
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const std::string test_file = "/tmp/benchmark_wav.wav";
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SignalGenerator generator;
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std::vector<int16_t> samples = generator.GenerateSineWave(440.0,
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static_cast<double>(num_samples) / sample_rate, sample_rate, 0.5);
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for (auto _ : state) {
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state.PauseTiming();
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WavWriter writer;
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writer.Open(test_file, sample_rate, channels, 16);
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state.ResumeTiming();
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writer.WriteSamples(samples);
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state.PauseTiming();
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writer.Close();
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std::remove(test_file.c_str());
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state.ResumeTiming();
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}
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state.SetItemsProcessed(state.iterations() * num_samples);
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state.SetBytesProcessed(state.iterations() * num_samples * sizeof(int16_t));
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}
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BENCHMARK(BM_WavWriter_WriteSamples)
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->Arg(480)
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->Arg(1024)
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->Arg(4096)
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->Arg(48000)
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->Unit(benchmark::kMicrosecond);
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// =============================================================================
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// Combined Conversion Pipeline Benchmarks
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// =============================================================================
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static void BM_FullConversionPipeline(benchmark::State& state) {
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const size_t num_frames = state.range(0);
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const int in_sample_rate = 48000;
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const int out_sample_rate = 16000;
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// Generate stereo int16 samples
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std::vector<int16_t> stereo_int16(num_frames * 2);
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std::vector<float> float_samples(num_frames * 2);
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std::vector<float> mono_samples(num_frames);
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const size_t resampled_size = (num_frames * out_sample_rate) / in_sample_rate;
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std::vector<float> resampled(resampled_size);
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for (size_t i = 0; i < stereo_int16.size(); ++i) {
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stereo_int16[i] = static_cast<int16_t>(
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32767.0 * std::sin(2.0 * M_PI * 440.0 * (i / 2) / in_sample_rate));
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}
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for (auto _ : state) {
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// Step 1: int16 → float
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AudioConverter::Int16ToFloat(stereo_int16.data(), stereo_int16.size(), float_samples.data());
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// Step 2: stereo → mono
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AudioConverter::StereoToMono(float_samples.data(), num_frames, mono_samples.data());
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// Step 3: resample 48kHz → 16kHz
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AudioConverter::Resample(mono_samples.data(), num_frames, in_sample_rate,
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resampled.data(), resampled_size, out_sample_rate);
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benchmark::DoNotOptimize(resampled.data());
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}
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state.SetItemsProcessed(state.iterations() * num_frames);
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}
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BENCHMARK(BM_FullConversionPipeline)
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->Arg(480)
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->Arg(1024)
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->Arg(4096)
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->Arg(48000)
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->Unit(benchmark::kMicrosecond);
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#endif // ENABLE_WHISPER

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