Ryzen 7 5700G

AMD Ryzen 7 5700G testing with a Gigabyte B550I AORUS PRO AX (F16e BIOS) and Gigabyte AMD Cezanne 512MB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2402112-NE-RYZEN757015
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Gigabyte AMD Cezanne
February 11
  13 Hours, 18 Minutes
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Ryzen 7 5700GOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 5700G @ 4.67GHz (8 Cores / 16 Threads)Gigabyte B550I AORUS PRO AX (F16e BIOS)AMD Renoir/Cezanne64GB2000GB Western Digital WDS200T2B0C-00PXH0 + 1000GB KIOXIA-EXCERIA PRO SSD + 1000GB Western Digital WDS100T3X0C-00SJG0Gigabyte AMD Cezanne 512MB (2000/1600MHz)AMD Renoir Radeon HD AudioDIOS-LDH241DRealtek RTL8125 2.5GbE + MEDIATEK Device 0608Ubuntu 22.046.5.0-17-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.44.6 Mesa 23.3.0-devel (LLVM 17.0.4 DRM 3.56)OpenCL 1.1 Mesa 23.0.4-0ubuntu1~22.04.1 + OpenCL 2.1 AMD-APP (3602.0)1.3.238GCC 11.4.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionRyzen 7 5700G BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa50000d- GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 13-CEZANNE-019- Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 7 5700Gbuild-linux-kernel: allmodconfigbuild-godot: Time To Compilepytorch: CPU - 256 - ResNet-50pytorch: CPU - 256 - Efficientnet_v2_lsvt-hevc: 1 - Bosphorus 4Kpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 512 - Efficientnet_v2_lpytorch: CPU - 64 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lffmpeg: libx264 - Uploadunigine-super: 1920 x 1080 - Fullscreen - High - OpenGLunigine-valley: 1920 x 1080 - Fullscreen - OpenGLffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandpytorch: CPU - 64 - ResNet-152pytorch: CPU - 256 - ResNet-152pytorch: CPU - 16 - ResNet-152pytorch: CPU - 512 - ResNet-152pytorch: CPU - 32 - ResNet-152openssl: SHA256openssl: ChaCha20openssl: SHA512openssl: SHA256openssl: ChaCha20-Poly1305openssl: AES-256-GCMopenssl: AES-128-GCMopenssl: ChaCha20-Poly1305openssl: AES-256-GCMopenssl: AES-128-GCMopenssl: ChaCha20openssl: SHA512ffmpeg: libx265 - Uploadgravitymark: 1920 x 1080 - OpenGLgravitymark: 1920 x 1080 - OpenGL ESgravitymark: 1920 x 1080 - Vulkanffmpeg: libx264 - Platformffmpeg: libx264 - Video On Demandavifenc: 0vvenc: Bosphorus 4K - Fastaom-av1: Speed 4 Two-Pass - Bosphorus 4Klibgav1: Chimera 1080p 10-bitpytorch: CPU - 1 - Efficientnet_v2_luvg266: Bosphorus 4K - Slowbuild-linux-kernel: defconfigglmark2: 1920 x 1080pytorch: CPU - 32 - ResNet-50aom-av1: Speed 0 Two-Pass - Bosphorus 4Kuvg266: Bosphorus 4K - Mediumrav1e: 1vpxenc: Speed 0 - Bosphorus 4Kpytorch: CPU - 16 - ResNet-50pytorch: CPU - 512 - ResNet-50pytorch: CPU - 64 - ResNet-50openvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUvvenc: Bosphorus 4K - Fasteravifenc: 2pytorch: CPU - 1 - ResNet-152svt-hevc: 1 - Bosphorus 1080pkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumparaview: Many Spheres - 1920 x 1080paraview: Many Spheres - 1920 x 1080aom-av1: Speed 6 Two-Pass - Bosphorus 4Kopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUffmpeg: libx265 - Liveopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenssl: RSA4096openssl: RSA4096openssl: RSA4096openssl: RSA4096aom-av1: Speed 6 Realtime - Bosphorus 4Krav1e: 5aom-av1: Speed 4 Two-Pass - Bosphorus 1080prav1e: 10svt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kvvenc: Bosphorus 1080p - Fastx265: Bosphorus 4Klibgav1: Summer Nature 4Krav1e: 6ffmpeg: libx264 - Livevpxenc: Speed 0 - Bosphorus 1080plibgav1: Chimera 1080puvg266: Bosphorus 4K - Very Fastvpxenc: Speed 5 - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080puvg266: Bosphorus 4K - Super Fastcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingpytorch: CPU - 1 - ResNet-50svt-vp9: VMAF Optimized - Bosphorus 4Kuvg266: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 4K - Very Fastcompress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedsvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Kkvazaar: Bosphorus 4K - Super Fastvvenc: Bosphorus 1080p - Fastercompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speeduvg266: Bosphorus 1080p - Slowx264: Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 1080puvg266: Bosphorus 1080p - Mediumgimp: unsharp-maskdav1d: Chimera 1080p 10-bitaom-av1: Speed 6 Realtime - Bosphorus 1080pwaifu2x-ncnn: 2x - 3 - Yesvpxenc: Speed 5 - Bosphorus 1080paom-av1: Speed 11 Realtime - Bosphorus 1080pkvazaar: Bosphorus 4K - Ultra Fastdav1d: Summer Nature 4Ksvt-hevc: 7 - Bosphorus 4Kgimp: auto-levelsgimp: resizegimp: rotatesvt-vp9: Visual Quality Optimized - Bosphorus 4Kparaview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080aom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080pdav1d: Chimera 1080paom-av1: Speed 9 Realtime - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 1080pkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumsvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Klibgav1: Summer Nature 1080pavifenc: 6, Losslessaom-av1: Speed 8 Realtime - Bosphorus 4Kparaview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080x265: Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 11 Realtime - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080puvg266: Bosphorus 1080p - Very Fastavifenc: 6uvg266: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Very Fastsvt-vp9: VMAF Optimized - Bosphorus 1080puvg266: Bosphorus 1080p - Ultra Fastavifenc: 10, Losslesssvt-hevc: 7 - Bosphorus 1080pkvazaar: Bosphorus 1080p - Super Fastx264: Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pdav1d: Summer Nature 1080pkvazaar: Bosphorus 1080p - Ultra Fastsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pwaifu2x-ncnn: 2x - 3 - Nosvt-hevc: 10 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pjohn-the-ripper: bcryptGigabyte AMD Cezanne1452.389433.89522.126.542.116.646.636.706.6714.2113.029.796444.4044.419.779.869.859.919.97132770486204054324911342866775931317303268027389987137397875050704357425871327387822083398865450804357237828340512084560439590889021.6722.321.823.353.2653.33158.2753.9605.6272.559.825.18110.751426522.340.195.790.8247.2322.2322.4722.8090.0588.841.216531.918.04073.94016.058.478.418.581214.77012.1211.821717.772.33735.625.43150.2826.59191.1920.93192.6220.7529.01137.7612.72313.92112.5735.50100.6179.46120.4712.64316.183.781057.4528.22141.6018.01221.8815.07530.627.04566.600.6212840.80157241.92413.9157337.72412.855.333.53013.8512.0933.3493.37512.63512.7683.064.849218.4315.33226.8217.1817.810.5917.56692426986037.4848.8520.9120.934926.544.6526.01926.31925.3026.3024656.6129.495059.6815.2627.6728.2841.7030.7319.292470.66160.6418.79433.60181.9933.60203.2538.7416.66116.50916.31040.85827.80379.4371.25188.87176.11614.47185.0411.74011.82443.0344.3752.48299.1711.61958.421897.956118.6258.2369.2869.7673.2489.48690.36778.23678.64473.967.78178.1286.29159.9791.566.052116.66108.43117.59131.33852.36144.34167.432.916238.51340.215420.961OpenBenchmarking.org

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigGigabyte AMD Cezanne30060090012001500SE +/- 0.27, N = 31452.39

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileGigabyte AMD Cezanne90180270360450SE +/- 0.14, N = 3433.90

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50Gigabyte AMD Cezanne510152025SE +/- 0.30, N = 1522.12MIN: 14.47 / MAX: 23.62

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_lGigabyte AMD Cezanne246810SE +/- 0.06, N = 36.54MIN: 5.64 / MAX: 6.78

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KGigabyte AMD Cezanne0.47480.94961.42441.89922.374SE +/- 0.01, N = 32.111. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lGigabyte AMD Cezanne246810SE +/- 0.04, N = 36.64MIN: 6.26 / MAX: 6.78

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_lGigabyte AMD Cezanne246810SE +/- 0.07, N = 36.63MIN: 6.28 / MAX: 6.83

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lGigabyte AMD Cezanne246810SE +/- 0.01, N = 36.70MIN: 5.87 / MAX: 6.86

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lGigabyte AMD Cezanne246810SE +/- 0.03, N = 36.67MIN: 5.57 / MAX: 6.84

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: UploadGigabyte AMD Cezanne48121620SE +/- 0.00, N = 314.211. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Unigine Superposition

This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: High - Renderer: OpenGLGigabyte AMD Cezanne3691215SE +/- 0.06, N = 313.0MAX: 15.7

Unigine Valley

This test calculates the average frame-rate within the Valley demo for the Unigine engine, released in February 2013. This engine is extremely demanding on the system's graphics card. Unigine Valley relies upon an OpenGL 3 core profile context. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Valley 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGLGigabyte AMD Cezanne714212835SE +/- 0.27, N = 329.80

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformGigabyte AMD Cezanne1020304050SE +/- 0.05, N = 344.401. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandGigabyte AMD Cezanne1020304050SE +/- 0.04, N = 344.411. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152Gigabyte AMD Cezanne3691215SE +/- 0.09, N = 39.77MIN: 7.4 / MAX: 10.27

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152Gigabyte AMD Cezanne3691215SE +/- 0.13, N = 39.86MIN: 8.19 / MAX: 10.17

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152Gigabyte AMD Cezanne3691215SE +/- 0.03, N = 39.85MIN: 7.81 / MAX: 10.05

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-152Gigabyte AMD Cezanne3691215SE +/- 0.04, N = 39.91MIN: 7.82 / MAX: 10.25

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152Gigabyte AMD Cezanne3691215SE +/- 0.05, N = 39.97MIN: 8.43 / MAX: 10.13

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256Gigabyte AMD Cezanne3000M6000M9000M12000M15000MSE +/- 5839242.03, N = 3132770486201. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: ChaCha20Gigabyte AMD Cezanne9000M18000M27000M36000M45000MSE +/- 11252181.43, N = 3405432491131. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA512Gigabyte AMD Cezanne900M1800M2700M3600M4500MSE +/- 18809521.13, N = 342866775931. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA256Gigabyte AMD Cezanne3000M6000M9000M12000M15000MSE +/- 12459040.25, N = 3131730326801. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: ChaCha20-Poly1305Gigabyte AMD Cezanne6000M12000M18000M24000M30000MSE +/- 23414684.76, N = 3273899871371. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: AES-256-GCMGigabyte AMD Cezanne9000M18000M27000M36000M45000MSE +/- 13301011.51, N = 3397875050701. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: AES-128-GCMGigabyte AMD Cezanne9000M18000M27000M36000M45000MSE +/- 10412818.35, N = 3435742587131. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Gigabyte AMD Cezanne6000M12000M18000M24000M30000MSE +/- 17884599.47, N = 3273878220831. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMGigabyte AMD Cezanne9000M18000M27000M36000M45000MSE +/- 9589372.28, N = 3398865450801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMGigabyte AMD Cezanne9000M18000M27000M36000M45000MSE +/- 21806305.80, N = 3435723782831. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Gigabyte AMD Cezanne9000M18000M27000M36000M45000MSE +/- 30201737.64, N = 3405120845601. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Gigabyte AMD Cezanne900M1800M2700M3600M4500MSE +/- 2469571.09, N = 343959088901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadGigabyte AMD Cezanne510152025SE +/- 0.00, N = 321.671. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPUs and render hundreds of thousands of objects in real-time all using GPU acceleration. GravityMark supports a variety of graphics rendering APIs and optionally supports accelerated ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.82Resolution: 1920 x 1080 - Renderer: OpenGLGigabyte AMD Cezanne510152025SE +/- 0.15, N = 322.3

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.82Resolution: 1920 x 1080 - Renderer: OpenGL ESGigabyte AMD Cezanne510152025SE +/- 0.12, N = 321.8

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.82Resolution: 1920 x 1080 - Renderer: VulkanGigabyte AMD Cezanne612182430SE +/- 0.09, N = 323.3

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: PlatformGigabyte AMD Cezanne1224364860SE +/- 0.04, N = 353.261. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: Video On DemandGigabyte AMD Cezanne1224364860SE +/- 0.08, N = 353.331. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0Gigabyte AMD Cezanne306090120150SE +/- 0.34, N = 3158.281. (CXX) g++ options: -O3 -fPIC -lm

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastGigabyte AMD Cezanne0.8911.7822.6733.5644.455SE +/- 0.012, N = 33.9601. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KGigabyte AMD Cezanne1.26452.5293.79355.0586.3225SE +/- 0.00, N = 35.621. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 0.17Video Input: Chimera 1080p 10-bitGigabyte AMD Cezanne1632486480SE +/- 0.10, N = 372.551. (CXX) g++ options: -O3 -lrt

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lGigabyte AMD Cezanne3691215SE +/- 0.05, N = 39.82MIN: 9.33 / MAX: 10.03

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowGigabyte AMD Cezanne1.16552.3313.49654.6625.8275SE +/- 0.01, N = 35.18

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigGigabyte AMD Cezanne20406080100SE +/- 0.28, N = 3110.75

GLmark2

This is a test of GLmark2, a basic OpenGL and OpenGL ES 2.0 benchmark supporting various windowing/display back-ends. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2023.01Resolution: 1920 x 1080Gigabyte AMD Cezanne90018002700360045004265

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50Gigabyte AMD Cezanne510152025SE +/- 0.25, N = 422.34MIN: 15.91 / MAX: 23.38

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KGigabyte AMD Cezanne0.04280.08560.12840.17120.214SE +/- 0.00, N = 30.191. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumGigabyte AMD Cezanne1.30282.60563.90845.21126.514SE +/- 0.00, N = 35.79

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 1Gigabyte AMD Cezanne0.18540.37080.55620.74160.927SE +/- 0.002, N = 30.824

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 4KGigabyte AMD Cezanne246810SE +/- 0.01, N = 37.231. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50Gigabyte AMD Cezanne510152025SE +/- 0.06, N = 322.23MIN: 15.79 / MAX: 23

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-50Gigabyte AMD Cezanne510152025SE +/- 0.22, N = 322.47MIN: 16.49 / MAX: 23.12

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50Gigabyte AMD Cezanne510152025SE +/- 0.07, N = 322.80MIN: 20.02 / MAX: 23.68

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUGigabyte AMD Cezanne20406080100SE +/- 1.09, N = 490.05MIN: 54.1 / MAX: 113.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUGigabyte AMD Cezanne20406080100SE +/- 1.09, N = 488.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUGigabyte AMD Cezanne0.27230.54460.81691.08921.3615SE +/- 0.01, N = 41.21MIN: 0.67 / MAX: 19.31. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUGigabyte AMD Cezanne14002800420056007000SE +/- 76.74, N = 46531.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterGigabyte AMD Cezanne246810SE +/- 0.011, N = 38.0401. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2Gigabyte AMD Cezanne1632486480SE +/- 0.02, N = 373.941. (CXX) g++ options: -O3 -fPIC -lm

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152Gigabyte AMD Cezanne48121620SE +/- 0.14, N = 316.05MIN: 11.13 / MAX: 16.51

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pGigabyte AMD Cezanne246810SE +/- 0.04, N = 38.471. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowGigabyte AMD Cezanne246810SE +/- 0.01, N = 38.411. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumGigabyte AMD Cezanne246810SE +/- 0.01, N = 38.581. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080Gigabyte AMD Cezanne30060090012001500SE +/- 0.04, N = 31214.77

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080Gigabyte AMD Cezanne3691215SE +/- 0.00, N = 312.12

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KGigabyte AMD Cezanne3691215SE +/- 0.01, N = 311.821. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUGigabyte AMD Cezanne400800120016002000SE +/- 2.03, N = 31717.77MIN: 1652.72 / MAX: 1801.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUGigabyte AMD Cezanne0.52431.04861.57292.09722.6215SE +/- 0.00, N = 32.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUGigabyte AMD Cezanne160320480640800SE +/- 0.76, N = 3735.62MIN: 632.92 / MAX: 772.51. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUGigabyte AMD Cezanne1.22182.44363.66544.88726.109SE +/- 0.01, N = 35.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUGigabyte AMD Cezanne306090120150SE +/- 0.16, N = 3150.28MIN: 81.24 / MAX: 204.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUGigabyte AMD Cezanne612182430SE +/- 0.03, N = 326.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUGigabyte AMD Cezanne4080120160200SE +/- 2.27, N = 3191.19MIN: 163.9 / MAX: 229.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUGigabyte AMD Cezanne510152025SE +/- 0.25, N = 320.931. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUGigabyte AMD Cezanne4080120160200SE +/- 0.35, N = 3192.62MIN: 146.31 / MAX: 236.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUGigabyte AMD Cezanne510152025SE +/- 0.05, N = 320.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUGigabyte AMD Cezanne714212835SE +/- 0.34, N = 329.01MIN: 14.31 / MAX: 39.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUGigabyte AMD Cezanne306090120150SE +/- 1.63, N = 3137.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUGigabyte AMD Cezanne3691215SE +/- 0.02, N = 312.72MIN: 8.9 / MAX: 28.21. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUGigabyte AMD Cezanne70140210280350SE +/- 0.52, N = 3313.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUGigabyte AMD Cezanne306090120150SE +/- 0.40, N = 3112.57MIN: 56.4 / MAX: 161.851. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUGigabyte AMD Cezanne816243240SE +/- 0.13, N = 335.501. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUGigabyte AMD Cezanne20406080100SE +/- 0.37, N = 3100.61MIN: 59.85 / MAX: 131.61. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUGigabyte AMD Cezanne20406080100SE +/- 0.29, N = 379.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveGigabyte AMD Cezanne306090120150SE +/- 0.23, N = 3120.471. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUGigabyte AMD Cezanne3691215SE +/- 0.06, N = 312.64MIN: 6.09 / MAX: 25.311. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUGigabyte AMD Cezanne70140210280350SE +/- 1.34, N = 3316.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUGigabyte AMD Cezanne0.85051.7012.55153.4024.2525SE +/- 0.01, N = 33.78MIN: 2.21 / MAX: 15.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUGigabyte AMD Cezanne2004006008001000SE +/- 1.82, N = 31057.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUGigabyte AMD Cezanne714212835SE +/- 0.15, N = 328.22MIN: 10.42 / MAX: 48.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUGigabyte AMD Cezanne306090120150SE +/- 0.72, N = 3141.601. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUGigabyte AMD Cezanne48121620SE +/- 0.03, N = 318.01MIN: 9.65 / MAX: 30.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUGigabyte AMD Cezanne50100150200250SE +/- 0.31, N = 3221.881. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUGigabyte AMD Cezanne48121620SE +/- 0.01, N = 315.07MIN: 8.85 / MAX: 26.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUGigabyte AMD Cezanne110220330440550SE +/- 0.23, N = 3530.621. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUGigabyte AMD Cezanne246810SE +/- 0.05, N = 37.04MIN: 3.67 / MAX: 21.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUGigabyte AMD Cezanne120240360480600SE +/- 3.74, N = 3566.601. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUGigabyte AMD Cezanne0.13950.2790.41850.5580.6975SE +/- 0.00, N = 30.62MIN: 0.33 / MAX: 12.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUGigabyte AMD Cezanne3K6K9K12K15KSE +/- 22.37, N = 312840.801. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. The system/openssl test profiles relies on benchmarking the system/OS-supplied openssl binary rather than the pts/openssl test profile that uses the locally-built OpenSSL for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgverify/s, More Is BetterOpenSSLAlgorithm: RSA4096Gigabyte AMD Cezanne30K60K90K120K150KSE +/- 9.82, N = 3157241.91. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenBenchmarking.orgsign/s, More Is BetterOpenSSLAlgorithm: RSA4096Gigabyte AMD Cezanne5001000150020002500SE +/- 1.17, N = 32413.91. OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022)

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Gigabyte AMD Cezanne30K60K90K120K150KSE +/- 20.10, N = 3157337.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Gigabyte AMD Cezanne5001000150020002500SE +/- 1.15, N = 32412.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KGigabyte AMD Cezanne1224364860SE +/- 1.11, N = 1555.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 5Gigabyte AMD Cezanne0.79431.58862.38293.17723.9715SE +/- 0.006, N = 33.530

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pGigabyte AMD Cezanne48121620SE +/- 0.03, N = 313.851. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 10Gigabyte AMD Cezanne3691215SE +/- 0.10, N = 312.09

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KGigabyte AMD Cezanne0.75351.5072.26053.0143.7675SE +/- 0.003, N = 33.3491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 GitEncoder Mode: Preset 4 - Input: Bosphorus 4KGigabyte AMD Cezanne0.75941.51882.27823.03763.797SE +/- 0.005, N = 33.3751. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FastGigabyte AMD Cezanne3691215SE +/- 0.04, N = 312.641. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KGigabyte AMD Cezanne3691215SE +/- 0.11, N = 312.761. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 0.17Video Input: Summer Nature 4KGigabyte AMD Cezanne20406080100SE +/- 0.13, N = 383.061. (CXX) g++ options: -O3 -lrt

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.7Speed: 6Gigabyte AMD Cezanne1.0912.1823.2734.3645.455SE +/- 0.003, N = 34.849

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx264 - Scenario: LiveGigabyte AMD Cezanne50100150200250SE +/- 0.71, N = 3218.431. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pGigabyte AMD Cezanne48121620SE +/- 0.01, N = 315.331. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 0.17Video Input: Chimera 1080pGigabyte AMD Cezanne50100150200250SE +/- 0.55, N = 3226.821. (CXX) g++ options: -O3 -lrt

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastGigabyte AMD Cezanne48121620SE +/- 0.05, N = 317.18

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4KGigabyte AMD Cezanne48121620SE +/- 0.13, N = 317.811. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pGigabyte AMD Cezanne0.13280.26560.39840.53120.664SE +/- 0.00, N = 30.591. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastGigabyte AMD Cezanne48121620SE +/- 0.03, N = 317.56

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingGigabyte AMD Cezanne15K30K45K60K75KSE +/- 103.27, N = 4692421. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingGigabyte AMD Cezanne15K30K45K60K75KSE +/- 848.81, N = 4698601. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Gigabyte AMD Cezanne918273645SE +/- 0.17, N = 337.48MIN: 33.45 / MAX: 39.16

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KGigabyte AMD Cezanne1122334455SE +/- 0.42, N = 748.851. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastGigabyte AMD Cezanne510152025SE +/- 0.04, N = 320.91

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastGigabyte AMD Cezanne510152025SE +/- 0.03, N = 320.931. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (silesia archive) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Decompression SpeedGigabyte AMD Cezanne11002200330044005500SE +/- 5.73, N = 34926.51. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Compression SpeedGigabyte AMD Cezanne1020304050SE +/- 0.02, N = 344.651. (CC) gcc options: -O3

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KGigabyte AMD Cezanne612182430SE +/- 0.08, N = 326.021. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 GitEncoder Mode: Preset 8 - Input: Bosphorus 4KGigabyte AMD Cezanne612182430SE +/- 0.06, N = 326.321. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastGigabyte AMD Cezanne612182430SE +/- 0.03, N = 325.301. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FasterGigabyte AMD Cezanne612182430SE +/- 0.06, N = 326.301. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (silesia archive) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Decompression SpeedGigabyte AMD Cezanne10002000300040005000SE +/- 2.31, N = 34656.61. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Compression SpeedGigabyte AMD Cezanne306090120150SE +/- 1.11, N = 3129.491. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Decompression SpeedGigabyte AMD Cezanne11002200330044005500SE +/- 5.88, N = 35059.61. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Compression SpeedGigabyte AMD Cezanne2004006008001000SE +/- 0.48, N = 3815.261. (CC) gcc options: -O3

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: SlowGigabyte AMD Cezanne714212835SE +/- 0.03, N = 327.67

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4KGigabyte AMD Cezanne714212835SE +/- 0.38, N = 328.281. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080pGigabyte AMD Cezanne1020304050SE +/- 0.05, N = 341.701. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: MediumGigabyte AMD Cezanne714212835SE +/- 0.04, N = 330.73

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: unsharp-maskGigabyte AMD Cezanne510152025SE +/- 0.03, N = 319.29

dav1d

Dav1d is an open-source, speedy AV1 video decoder supporting modern SIMD CPU features. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Chimera 1080p 10-bitGigabyte AMD Cezanne100200300400500SE +/- 0.74, N = 3470.661. (CC) gcc options: -pthread

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pGigabyte AMD Cezanne4080120160200SE +/- 3.55, N = 14160.641. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesGigabyte AMD Cezanne510152025SE +/- 0.07, N = 318.79

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pGigabyte AMD Cezanne816243240SE +/- 0.07, N = 333.601. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080pGigabyte AMD Cezanne4080120160200SE +/- 5.04, N = 15181.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastGigabyte AMD Cezanne816243240SE +/- 0.04, N = 333.601. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

dav1d

Dav1d is an open-source, speedy AV1 video decoder supporting modern SIMD CPU features. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Summer Nature 4KGigabyte AMD Cezanne4080120160200SE +/- 1.59, N = 3203.251. (CC) gcc options: -pthread

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KGigabyte AMD Cezanne918273645SE +/- 0.08, N = 338.741. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: auto-levelsGigabyte AMD Cezanne48121620SE +/- 0.06, N = 316.66

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: resizeGigabyte AMD Cezanne48121620SE +/- 0.05, N = 316.51

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: rotateGigabyte AMD Cezanne48121620SE +/- 0.04, N = 316.31

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KGigabyte AMD Cezanne918273645SE +/- 0.15, N = 340.851. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080Gigabyte AMD Cezanne2004006008001000SE +/- 0.45, N = 3827.80

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080Gigabyte AMD Cezanne20406080100SE +/- 0.04, N = 379.43

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KGigabyte AMD Cezanne1632486480SE +/- 0.74, N = 571.251. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080pGigabyte AMD Cezanne4080120160200SE +/- 5.59, N = 13188.871. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pGigabyte AMD Cezanne4080120160200SE +/- 4.41, N = 12176.111. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

dav1d

Dav1d is an open-source, speedy AV1 video decoder supporting modern SIMD CPU features. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Chimera 1080pGigabyte AMD Cezanne130260390520650SE +/- 1.02, N = 3614.471. (CC) gcc options: -pthread

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pGigabyte AMD Cezanne4080120160200SE +/- 7.01, N = 12185.041. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 GitEncoder Mode: Preset 4 - Input: Bosphorus 1080pGigabyte AMD Cezanne3691215SE +/- 0.02, N = 311.741. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 1080pGigabyte AMD Cezanne3691215SE +/- 0.04, N = 311.821. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowGigabyte AMD Cezanne1020304050SE +/- 0.08, N = 343.031. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumGigabyte AMD Cezanne1020304050SE +/- 0.03, N = 344.371. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KGigabyte AMD Cezanne1224364860SE +/- 0.02, N = 352.481. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

libgav1

Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterlibgav1 0.17Video Input: Summer Nature 1080pGigabyte AMD Cezanne70140210280350SE +/- 0.40, N = 3299.171. (CXX) g++ options: -O3 -lrt

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, LosslessGigabyte AMD Cezanne3691215SE +/- 0.01, N = 311.621. (CXX) g++ options: -O3 -fPIC -lm

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KGigabyte AMD Cezanne1326395265SE +/- 0.52, N = 358.421. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080Gigabyte AMD Cezanne400800120016002000SE +/- 11.67, N = 31897.96

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080Gigabyte AMD Cezanne306090120150SE +/- 0.73, N = 3118.62

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pGigabyte AMD Cezanne1326395265SE +/- 0.21, N = 358.231. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KGigabyte AMD Cezanne1530456075SE +/- 0.25, N = 369.281. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.7Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4KGigabyte AMD Cezanne1632486480SE +/- 0.06, N = 369.761. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KGigabyte AMD Cezanne1632486480SE +/- 0.04, N = 373.241. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KGigabyte AMD Cezanne20406080100SE +/- 0.08, N = 389.491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KGigabyte AMD Cezanne20406080100SE +/- 0.31, N = 390.371. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 1080pGigabyte AMD Cezanne20406080100SE +/- 0.38, N = 378.241. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 GitEncoder Mode: Preset 8 - Input: Bosphorus 1080pGigabyte AMD Cezanne20406080100SE +/- 0.37, N = 378.641. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very FastGigabyte AMD Cezanne1632486480SE +/- 0.30, N = 373.96

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6Gigabyte AMD Cezanne246810SE +/- 0.005, N = 37.7811. (CXX) g++ options: -O3 -fPIC -lm

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastGigabyte AMD Cezanne20406080100SE +/- 0.22, N = 378.12

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastGigabyte AMD Cezanne20406080100SE +/- 0.34, N = 386.291. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pGigabyte AMD Cezanne4080120160200SE +/- 1.70, N = 5159.971. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastGigabyte AMD Cezanne20406080100SE +/- 0.88, N = 391.56

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 10, LosslessGigabyte AMD Cezanne246810SE +/- 0.033, N = 36.0521. (CXX) g++ options: -O3 -fPIC -lm

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pGigabyte AMD Cezanne306090120150SE +/- 0.13, N = 3116.661. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastGigabyte AMD Cezanne20406080100SE +/- 1.23, N = 3108.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pGigabyte AMD Cezanne306090120150SE +/- 1.15, N = 3117.591. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pGigabyte AMD Cezanne306090120150SE +/- 0.31, N = 3131.331. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

dav1d

Dav1d is an open-source, speedy AV1 video decoder supporting modern SIMD CPU features. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.2.1Video Input: Summer Nature 1080pGigabyte AMD Cezanne2004006008001000SE +/- 0.76, N = 3852.361. (CC) gcc options: -pthread

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastGigabyte AMD Cezanne306090120150SE +/- 1.42, N = 3144.341. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pGigabyte AMD Cezanne4080120160200SE +/- 0.40, N = 3167.431. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoGigabyte AMD Cezanne0.65611.31221.96832.62443.2805SE +/- 0.032, N = 42.916

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pGigabyte AMD Cezanne50100150200250SE +/- 0.54, N = 3238.511. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 1080pGigabyte AMD Cezanne70140210280350SE +/- 1.30, N = 3340.221. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 1080pGigabyte AMD Cezanne90180270360450SE +/- 2.27, N = 3420.961. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPUs and render hundreds of thousands of objects in real-time all using GPU acceleration. GravityMark supports a variety of graphics rendering APIs and optionally supports accelerated ray-tracing. Learn more via the OpenBenchmarking.org test page.

Resolution: 1920 x 1080 - Renderer: Vulkan Ray-Tracing

Gigabyte AMD Cezanne: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

Configuration: Multi-Threaded

Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Configuration: Single-Threaded

Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

ProjectPhysX OpenCL-Benchmark

ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.

Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: | Warning: fatal error: cannot open file |

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

Test: MD5

Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Test: HMAC-SHA512

Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Test: Blowfish

Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Test: WPA PSK

Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

Test: bcrypt

Gigabyte AMD Cezanne: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

196 Results Shown

Timed Linux Kernel Compilation
Timed Godot Game Engine Compilation
PyTorch:
  CPU - 256 - ResNet-50
  CPU - 256 - Efficientnet_v2_l
SVT-HEVC
PyTorch:
  CPU - 16 - Efficientnet_v2_l
  CPU - 512 - Efficientnet_v2_l
  CPU - 64 - Efficientnet_v2_l
  CPU - 32 - Efficientnet_v2_l
FFmpeg
Unigine Superposition
Unigine Valley
FFmpeg:
  libx265 - Platform
  libx265 - Video On Demand
PyTorch:
  CPU - 64 - ResNet-152
  CPU - 256 - ResNet-152
  CPU - 16 - ResNet-152
  CPU - 512 - ResNet-152
  CPU - 32 - ResNet-152
OpenSSL
OpenSSL:
  ChaCha20
  SHA512
  SHA256
  ChaCha20-Poly1305
  AES-256-GCM
  AES-128-GCM
OpenSSL:
  ChaCha20-Poly1305
  AES-256-GCM
  AES-128-GCM
  ChaCha20
  SHA512
FFmpeg
GravityMark:
  1920 x 1080 - OpenGL
  1920 x 1080 - OpenGL ES
  1920 x 1080 - Vulkan
FFmpeg:
  libx264 - Platform
  libx264 - Video On Demand
libavif avifenc
VVenC
AOM AV1
libgav1
PyTorch
uvg266
Timed Linux Kernel Compilation
GLmark2
PyTorch
AOM AV1
uvg266
rav1e
VP9 libvpx Encoding
PyTorch:
  CPU - 16 - ResNet-50
  CPU - 512 - ResNet-50
  CPU - 64 - ResNet-50
OpenVINO:
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
VVenC
libavif avifenc
PyTorch
SVT-HEVC
Kvazaar:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
ParaView:
  Many Spheres - 1920 x 1080:
    MiPolys / Sec
    Frames / Sec
AOM AV1
OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Detection FP16 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
  Road Segmentation ADAS FP16-INT8 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Road Segmentation ADAS FP16 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16 - CPU:
    ms
    FPS
FFmpeg
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Face Detection Retail FP16-INT8 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Face Detection Retail FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
OpenSSL:
  RSA4096:
    verify/s
    sign/s
OpenSSL:
    verify/s
    sign/s
AOM AV1
rav1e
AOM AV1
rav1e
SVT-AV1
SVT-AV1
VVenC
x265
libgav1
rav1e
FFmpeg
VP9 libvpx Encoding
libgav1
uvg266
VP9 libvpx Encoding
AOM AV1
uvg266
7-Zip Compression:
  Decompression Rating
  Compression Rating
PyTorch
SVT-VP9
uvg266
Kvazaar
LZ4 Compression:
  9 - Decompression Speed
  9 - Compression Speed
SVT-AV1
SVT-AV1
Kvazaar
VVenC
LZ4 Compression:
  3 - Decompression Speed
  3 - Compression Speed
  1 - Decompression Speed
  1 - Compression Speed
uvg266
x264
AOM AV1
uvg266
GIMP
dav1d
AOM AV1
Waifu2x-NCNN Vulkan
VP9 libvpx Encoding
AOM AV1
Kvazaar
dav1d
SVT-HEVC
GIMP:
  auto-levels
  resize
  rotate
SVT-VP9
ParaView:
  Wavelet Contour - 1920 x 1080:
    MiPolys / Sec
    Frames / Sec
AOM AV1:
  Speed 9 Realtime - Bosphorus 4K
  Speed 10 Realtime - Bosphorus 1080p
  Speed 8 Realtime - Bosphorus 1080p
dav1d
AOM AV1
SVT-AV1
SVT-AV1
Kvazaar:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
SVT-VP9
libgav1
libavif avifenc
AOM AV1
ParaView:
  Wavelet Volume - 1920 x 1080:
    MiVoxels / Sec
    Frames / Sec
x265
AOM AV1:
  Speed 10 Realtime - Bosphorus 4K
  Speed 11 Realtime - Bosphorus 4K
SVT-HEVC
SVT-AV1:
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
  Preset 8 - Bosphorus 1080p
SVT-AV1
uvg266
libavif avifenc
uvg266
Kvazaar
SVT-VP9
uvg266
libavif avifenc
SVT-HEVC
Kvazaar
x264
SVT-VP9
dav1d
Kvazaar
SVT-VP9
Waifu2x-NCNN Vulkan
SVT-HEVC
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p