AMD Ryzen zen4 Linux

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  Test
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7700
December 31 2022
  6 Hours, 29 Minutes
7900
December 30 2022
  5 Hours, 59 Minutes
Ryzen 7600 AMD
January 03 2023
  1 Day, 4 Hours, 44 Minutes
AMD 7600
January 04 2023
  7 Hours, 11 Minutes
AMD 7700
January 02 2023
  6 Hours, 26 Minutes
Ryzen 7 7700
January 01 2023
  6 Hours, 29 Minutes
Ryzen 7600
January 05 2023
  7 Hours, 13 Minutes
Ryzen 9 7900
December 29 2022
  6 Hours
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AMD Ryzen zen4 LinuxProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR X670E HERO (0805 BIOS)AMD Device 14d832GB2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)AMD Navi 21 HDMI AudioASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.0.0-060000rc1daily20220820-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.3 + Wayland4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48)1.3.224GCC 12.0.1 20220319ext43840x2160AMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads)2000GB Samsung SSD 980 PRO 2TBAMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads)AMD Ryzen 7 7700 8-Core @ 5.39GHz (8 Cores / 16 Threads)2000GB Samsung SSD 980 PRO 2TB + 2000GBAMD Ryzen 5 7600 6-Core @ 5.17GHz (6 Cores / 12 Threads)AMD Ryzen 9 7900 12-Core @ 5.48GHz (12 Cores / 24 Threads)2000GB Samsung SSD 980 PRO 2TBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/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-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 Processor Details- Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Details- OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Details- Python 3.10.4Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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

77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 7900Result OverviewPhoronix Test Suite100%122%145%167%189%C-RayMobile Neural NetworkStockfishOpenSSLCoremarkIndigoBenchTachyonXmrigasmFishChaos Group V-RAYBlenderASTC EncoderAircrack-ngNAMDStargate Digital Audio WorkstationCpuminer-Opt7-Zip CompressionLAMMPS Molecular Dynamics SimulatorTimed LLVM CompilationTimed Linux Kernel CompilationTimed MPlayer CompilationPrimesieveAppleseedBuild2oneDNNGROMACSTimed Godot Game Engine CompilationTimed FFmpeg CompilationSVT-HEVCTimed Mesa CompilationNCNNx264SVT-VP9RodiniaNAS Parallel Benchmarkslibavif avifencOpenFOAMx265KvazaarTimed PHP CompilationGPAWY-CruncherTimed Wasmer CompilationSVT-AV1Xcompact3d Incompact3dDarktableNeural Magic DeepSparseJPEG XL Decoding libjxlTimed GDB GNU Debugger CompilationOpenVINOnekRSONNX RuntimeLiquid-DSPVP9 libvpx EncodingGIMPTimed CPython CompilationZstd CompressionGNU RadioAlgebraic Multi-Grid BenchmarkTimed Apache CompilationJPEG XL libjxlLeelaChessZeroNgspiceDaCapo BenchmarkPHPBenchTNNQuantLibCraftysimdjsonPyBenchGitPyPerformanceWebP Image EncodeFLAC Audio EncodingLAME MP3 Encoding

AMD Ryzen zen4 Linuxbuild-linux-kernel: allmodconfigblender: Barbershop - CPU-Onlylczero: Eigengnuradio: Hilbert Transformgnuradio: FM Deemphasis Filtergnuradio: IIR Filtergnuradio: FIR Filtergnuradio: Signal Source (Cosine)gnuradio: Five Back to Back FIR Filtersbuild-llvm: Unix Makefilesbuild-llvm: Ninjanekrs: TurboPipe Periodicappleseed: Emilyblender: Pabellon Barcelona - CPU-Onlyjpegxl: JPEG - 100lczero: BLASblender: Classroom - CPU-Onlyappleseed: Disney Materialappleseed: Material Testerjpegxl: PNG - 100onnx: fcn-resnet101-11 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: yolov4 - CPU - Standardsvt-hevc: 1 - Bosphorus 4Kopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timegpaw: Carbon Nanotubemnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3mnn: nasnetrodinia: OpenMP LavaMDopenssl: SHA256primesieve: 1e13npb: EP.Dbuild-python: Released Build, PGO + LTO Optimizedtnn: CPU - DenseNetblender: Fishy Cat - CPU-Onlyxmrig: Monero - 1Mnpb: SP.Ctachyon: Total Timegromacs: MPI CPU - water_GMX50_bareavifenc: 0onnx: fcn-resnet101-11 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardstockfish: Total Timeblender: BMW27 - CPU-Onlyasmfish: 1024 Hash Memory, 26 Depthxmrig: Wownero - 1Mjpegxl: JPEG - 80jpegxl: PNG - 80npb: BT.Cbuild2: Time To Compilebuild-godot: Time To Compilestargate: 192000 - 512simdjson: Kostyastargate: 192000 - 1024jpegxl: JPEG - 90namd: ATPase Simulation - 327,506 Atomsbuild-linux-kernel: defconfigjpegxl: PNG - 90onednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUngspice: C2670simdjson: LargeRandrodinia: OpenMP Leukocyteonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUngspice: C7552pyperformance: python_startupv-ray: CPUvpxenc: Speed 0 - Bosphorus 4Kncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUastcenc: Exhaustivesimdjson: DistinctUserIDsimdjson: TopTweetstargate: 96000 - 512openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUsimdjson: PartialTweetsopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUindigobench: CPU - Bedroomindigobench: CPU - Supercaropenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUstargate: 96000 - 1024openvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUavifenc: 2openvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUcpuminer-opt: Triple SHA-256, Onecoinopenssl: RSA4096openssl: RSA4096rodinia: OpenMP HotSpot3Dkvazaar: Bosphorus 4K - Mediumnpb: LU.Csvt-hevc: 1 - Bosphorus 1080pc-ray: Total Time - 4K, 16 Rays Per Pixeldeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streambuild-php: Time To Compiledeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamsvt-av1: Preset 4 - Bosphorus 4Kdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streambuild-gdb: Time To Compilebuild-wasmer: Time To Compilestargate: 480000 - 512compress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedstargate: 44100 - 512stargate: 480000 - 1024npb: IS.Ddeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamstargate: 44100 - 1024pyperformance: raytracedeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streambuild-ffmpeg: Time To Compilecompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedbuild-mesa: Time To Compiledeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamjpegxl-decode: 1deepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamcompress-zstd: 8 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 3 - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedastcenc: Thoroughcoremark: CoreMark Size 666 - Iterations Per Secondgit: Time To Complete Common Git Commandsvpxenc: Speed 0 - Bosphorus 1080px265: Bosphorus 4Ky-cruncher: 1Bpyperformance: 2to3pyperformance: django_templatepyperformance: pathlibbuild-mplayer: Time To Compileaircrack-ng: cpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Garlicoincpuminer-opt: Blake-2 Scpuminer-opt: scryptcpuminer-opt: Magicpuminer-opt: Myriad-Groestlcpuminer-opt: Ringcoincpuminer-opt: LBC, LBRY Creditscpuminer-opt: Deepcoincpuminer-opt: Skeincoincpuminer-opt: x25xpyperformance: regex_compilewebp: Quality 100, Lossless, Highest Compressionliquid-dsp: 2 - 256 - 57pyperformance: nbodynpb: SP.Bvpxenc: Speed 5 - Bosphorus 4Kpyperformance: pickle_pure_pythonquantlib: kvazaar: Bosphorus 4K - Very Fastpyperformance: gox264: Bosphorus 4Kliquid-dsp: 8 - 256 - 57pyperformance: crypto_pyaespyperformance: json_loadsastcenc: Fastonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUcrafty: Elapsed Timenpb: FT.Cjpegxl-decode: Allpyperformance: floatliquid-dsp: 24 - 256 - 57liquid-dsp: 1 - 256 - 57liquid-dsp: 4 - 256 - 57liquid-dsp: 16 - 256 - 57incompact3d: input.i3d 129 Cells Per Directionpyperformance: chaoscompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingphpbench: PHP Benchmark Suitenpb: CG.Crodinia: OpenMP CFD Solveronednn: IP Shapes 1D - f32 - CPUbuild-apache: Time To Compileonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUsvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080py-cruncher: 500Mpybench: Total For Average Test Timesprimesieve: 1e12encode-flac: WAV To FLACdacapobench: Tradebeanskvazaar: Bosphorus 4K - Ultra Fasttnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1svt-hevc: 7 - Bosphorus 4Kbuild-python: Defaultonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUvpxenc: Speed 5 - Bosphorus 1080pkvazaar: Bosphorus 1080p - Mediumwebp: Quality 100, Losslessrodinia: OpenMP Streamclusterdacapobench: H2gimp: unsharp-maskamg: gimp: resizeastcenc: Mediumsvt-vp9: Visual Quality Optimized - Bosphorus 4Kgimp: auto-levelsgimp: rotateonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUsvt-vp9: VMAF Optimized - Bosphorus 4Kavifenc: 6, Losslesssvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Knpb: EP.Cnpb: MG.Ctnn: CPU - SqueezeNet v2x265: Bosphorus 1080pdacapobench: Tradesoapsvt-hevc: 10 - Bosphorus 4Konednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUkvazaar: Bosphorus 1080p - Very Fastavifenc: 6svt-av1: Preset 8 - Bosphorus 1080pencode-mp3: WAV To MP3svt-av1: Preset 12 - Bosphorus 4Kwebp: Quality 100, Highest Compressiondarktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlysvt-av1: Preset 13 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080pavifenc: 10, Losslessdarktable: Server Room - CPU-onlyx264: Bosphorus 1080pdacapobench: Jythonkvazaar: Bosphorus 1080p - Ultra Fastsvt-vp9: Visual Quality Optimized - Bosphorus 1080ponednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUlammps: Rhodopsin Proteinsvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080pwebp: Quality 100svt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pwebp: Defaultdarktable: Server Rack - CPU-onlydacapobench: Eclipse77007900Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700Ryzen 7600Ryzen 9 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43564000013.60289.449884.910.2799.4063.179851.544030.35999293.66.765100.142150.5825644.0342.367102.841880134.85.703655.226741.84748118.714.299158.214.809183.6965.303.0563.174190.959218.53.6212.539208.222348215.98294.33.970482.167260.88009311.211334.75344.81437.9617.03649.491728.99240.126OpenBenchmarking.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: allmodconfigRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790030060090012001500SE +/- 6.89, N = 31286.511280.931266.561019.451012.611005.66744.30738.33
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79002004006008001000Min: 1259.54 / Avg: 1266.56 / Max: 1280.34

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790030060090012001500SE +/- 2.65, N = 31284.521284.021282.32989.72983.97973.45723.78723.13
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079002004006008001000Min: 1278.74 / Avg: 1284.02 / Max: 1287.02

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenAMD 7600Ryzen 7600 AMDRyzen 7600AMD 77007700Ryzen 7 77007900Ryzen 9 7900400800120016002000SE +/- 14.96, N = 9147514951499154015421548160716501. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenAMD 7600Ryzen 7600 AMDRyzen 7600AMD 77007700Ryzen 7 77007900Ryzen 9 790030060090012001500Min: 1410 / Avg: 1495.33 / Max: 15681. (CXX) g++ options: -flto -pthread

GNU Radio

GNU Radio is a free software development toolkit providing signal processing blocks to implement software-defined radios (SDR) and signal processing systems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Hilbert TransformRyzen 7600Ryzen 9 7900AMD 7600Ryzen 7600 AMD79007700Ryzen 7 7700AMD 77002004006008001000SE +/- 5.10, N = 8709.6716.6725.5738.4741.4759.8760.3775.51. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Hilbert TransformRyzen 7600Ryzen 9 7900AMD 7600Ryzen 7600 AMD79007700Ryzen 7 7700AMD 7700140280420560700Min: 706.7 / Avg: 738.41 / Max: 750.11. 3.10.1.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FM Deemphasis Filter7900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 770077002004006008001000SE +/- 2.20, N = 8905.0907.5911.7913.7919.1941.1943.1958.41. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FM Deemphasis Filter7900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 770077002004006008001000Min: 901.4 / Avg: 913.66 / Max: 920.21. 3.10.1.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: IIR FilterRyzen 7600 AMDAMD 7600Ryzen 760079007700Ryzen 9 7900AMD 7700Ryzen 7 7700120240360480600SE +/- 3.03, N = 8541.5541.8544.3560.7561.1561.2570.8575.81. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: IIR FilterRyzen 7600 AMDAMD 7600Ryzen 760079007700Ryzen 9 7900AMD 7700Ryzen 7 7700100200300400500Min: 531.5 / Avg: 541.51 / Max: 553.61. 3.10.1.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FIR Filter7900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 76007700AMD 7700Ryzen 7 770030060090012001500SE +/- 3.50, N = 81374.71402.11436.21436.81448.51485.91498.31508.71. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FIR Filter7900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 76007700AMD 7700Ryzen 7 770030060090012001500Min: 1424.8 / Avg: 1436.78 / Max: 1448.71. 3.10.1.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Signal Source (Cosine)7900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700770013002600390052006500SE +/- 6.70, N = 85014.05162.05846.25865.65870.76084.96088.96105.91. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Signal Source (Cosine)7900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7 7700770011002200330044005500Min: 5831.1 / Avg: 5865.61 / Max: 5888.11. 3.10.1.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Five Back to Back FIR FiltersRyzen 9 79007900AMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77005001000150020002500SE +/- 16.32, N = 81322.91430.41862.71923.91934.12004.42115.22128.81. 3.10.1.1
OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Five Back to Back FIR FiltersRyzen 9 79007900AMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700400800120016002000Min: 1893.1 / Avg: 1934.13 / Max: 2014.21. 3.10.1.1

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 7900130260390520650SE +/- 1.68, N = 3622.39621.82621.55511.00503.16495.07375.35374.36
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 7900110220330440550Min: 618.28 / Avg: 621.55 / Max: 623.88

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900130260390520650SE +/- 0.25, N = 3609.12608.68602.78489.62487.73475.85353.54352.63
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900110220330440550Min: 608.62 / Avg: 609.12 / Max: 609.42

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe PeriodicRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790014000M28000M42000M56000M70000MSE +/- 29429369.31, N = 349717500000497356000004980863333355524300000555482000005600840000064877800000659745000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe PeriodicRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790011000M22000M33000M44000M55000MMin: 49776400000 / Avg: 49808633333.33 / Max: 498674000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 790070140210280350334.20332.51331.38262.66262.06261.24197.26196.70

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790090180270360450SE +/- 0.21, N = 3433.93433.06432.63335.44334.85333.25249.96249.95
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790080160240320400Min: 432.37 / Avg: 432.63 / Max: 433.04

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 100AMD 7600Ryzen 7600 AMDRyzen 9 7900Ryzen 7 7700AMD 770077007900Ryzen 76000.21150.4230.63450.8461.0575SE +/- 0.02, N = 60.830.850.860.870.880.910.920.941. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 100AMD 7600Ryzen 7600 AMDRyzen 9 7900Ryzen 7 7700AMD 770077007900Ryzen 7600246810Min: 0.78 / Avg: 0.85 / Max: 0.921. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASRyzen 7600 AMDAMD 7700Ryzen 7600Ryzen 7 7700AMD 760077007900Ryzen 9 790030060090012001500SE +/- 21.50, N = 3151415191520153515541588160116231. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASRyzen 7600 AMDAMD 7700Ryzen 7600Ryzen 7 7700AMD 760077007900Ryzen 9 790030060090012001500Min: 1471 / Avg: 1514 / Max: 15361. (CXX) g++ options: -flto -pthread

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790080160240320400SE +/- 0.20, N = 3357.35357.10356.47273.36272.78271.59202.67202.13
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790060120180240300Min: 356.16 / Avg: 356.47 / Max: 356.85

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 7700AMD 770077007900Ryzen 9 790050100150200250207.29206.77206.46158.99158.42158.29119.53119.05

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079004080120160200189.54188.62188.46145.39145.29144.68124.04123.05

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 100Ryzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 7700Ryzen 9 790077007900AMD 77000.2250.450.6750.91.125SE +/- 0.01, N = 30.950.960.960.970.970.981.001.001. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 100Ryzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 7700Ryzen 9 790077007900AMD 7700246810Min: 0.93 / Avg: 0.95 / Max: 0.971. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 7 7700Ryzen 7600 AMDRyzen 9 79007900AMD 7600Ryzen 76007700AMD 7700306090120150SE +/- 6.47, N = 127179939898981241241. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardRyzen 7 7700Ryzen 7600 AMDRyzen 9 79007900AMD 7600Ryzen 76007700AMD 770020406080100Min: 53.5 / Avg: 78.79 / Max: 98.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: Standard7700Ryzen 7 7700Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 9 790079002K4K6K8K10KSE +/- 114.75, N = 12843184448623893292049254974899851. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: Standard7700Ryzen 7 7700Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 9 790079002K4K6K8K10KMin: 8284 / Avg: 8931.54 / Max: 91991. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardAMD 7600Ryzen 7600 AMDRyzen 7 770077007900Ryzen 7600Ryzen 9 7900AMD 77005001000150020002500SE +/- 92.79, N = 12110712521580158817351920250825501. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardAMD 7600Ryzen 7600 AMDRyzen 7 770077007900Ryzen 7600Ryzen 9 7900AMD 7700400800120016002000Min: 1105.5 / Avg: 1252.13 / Max: 1972.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardRyzen 7600Ryzen 9 7900Ryzen 7 7700Ryzen 7600 AMDAMD 760079007700AMD 770030060090012001500SE +/- 73.47, N = 1253471672975710001083123912571. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardRyzen 7600Ryzen 9 7900Ryzen 7 7700Ryzen 7600 AMDAMD 760079007700AMD 77002004006008001000Min: 512 / Avg: 757.25 / Max: 10031. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: Standard7700Ryzen 7600 AMDRyzen 7 7700Ryzen 7600AMD 7600Ryzen 9 79007900AMD 77002004006008001000SE +/- 40.22, N = 125155465616566596936948271. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: Standard7700Ryzen 7600 AMDRyzen 7 7700Ryzen 7600AMD 7600Ryzen 9 79007900AMD 7700150300450600750Min: 385 / Avg: 545.92 / Max: 6601. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

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 4KRyzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79000.88651.7732.65953.5464.4325SE +/- 0.00, N = 32.302.302.312.962.962.983.943.941. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KRyzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 7900246810Min: 2.3 / Avg: 2.3 / Max: 2.31. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790060120180240300274.56274.56273.74254.50254.33251.62176.83176.071. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790081624324035.4735.4535.2931.5931.4131.2326.9426.691. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790050100150200250SE +/- 0.83, N = 3239.33237.47235.98209.84209.08207.91169.05168.931. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 79004080120160200Min: 234.99 / Avg: 235.98 / Max: 237.621. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3Ryzen 9 79007900Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700AMD 7600510152025SE +/- 0.24, N = 1522.4720.9216.8716.3915.5115.3714.6014.12MIN: 22.2 / MAX: 30.15MIN: 20.57 / MAX: 28.87MIN: 16.72 / MAX: 18.95MIN: 13.9 / MAX: 24.09MIN: 14.26 / MAX: 35.72MIN: 14.16 / MAX: 25.66MIN: 14.2 / MAX: 25.71MIN: 14.05 / MAX: 15.711. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3Ryzen 9 79007900Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700AMD 7600510152025Min: 14.13 / Avg: 16.39 / Max: 16.811. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.07900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 77000.83271.66542.49813.33084.1635SE +/- 0.002, N = 153.7013.5602.8642.8542.8481.5581.5181.482MIN: 3.63 / MAX: 3.81MIN: 3.49 / MAX: 4.01MIN: 2.83 / MAX: 14.09MIN: 2.82 / MAX: 9.6MIN: 2.83 / MAX: 3.19MIN: 1.47 / MAX: 4.02MIN: 1.44 / MAX: 4.13MIN: 1.47 / MAX: 3.451. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.07900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700246810Min: 2.84 / Avg: 2.85 / Max: 2.871. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_2247900Ryzen 9 7900Ryzen 7 77007700Ryzen 7600Ryzen 7600 AMDAMD 7700AMD 76000.70881.41762.12642.83523.544SE +/- 0.011, N = 153.1503.1131.8271.8121.7701.7451.7351.638MIN: 3.1 / MAX: 3.75MIN: 3.04 / MAX: 3.57MIN: 1.72 / MAX: 3.71MIN: 1.71 / MAX: 3.68MIN: 1.74 / MAX: 3.67MIN: 1.63 / MAX: 8.75MIN: 1.71 / MAX: 3.74MIN: 1.62 / MAX: 2.051. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_2247900Ryzen 9 7900Ryzen 7 77007700Ryzen 7600Ryzen 7600 AMDAMD 7700AMD 7600246810Min: 1.64 / Avg: 1.75 / Max: 1.771. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0Ryzen 9 79007900Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7600AMD 77000.86921.73842.60763.47684.346SE +/- 0.017, N = 153.8633.7712.6182.5832.5592.5572.4342.420MIN: 3.79 / MAX: 5.06MIN: 3.69 / MAX: 4.19MIN: 2.59 / MAX: 4.5MIN: 2.41 / MAX: 9.64MIN: 2.41 / MAX: 4.85MIN: 2.4 / MAX: 5.3MIN: 2.4 / MAX: 9.97MIN: 2.38 / MAX: 13.731. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0Ryzen 9 79007900Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7600AMD 7700246810Min: 2.43 / Avg: 2.58 / Max: 2.631. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-507900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 770048121620SE +/- 0.045, N = 1513.65313.62012.08511.98811.5587.8777.8717.334MIN: 13.54 / MAX: 15.73MIN: 13.5 / MAX: 15.47MIN: 11.68 / MAX: 24.46MIN: 11.25 / MAX: 19.5MIN: 11.48 / MAX: 19.17MIN: 7.19 / MAX: 10.65MIN: 7.16 / MAX: 10.56MIN: 7.13 / MAX: 19.121. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-507900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 770048121620Min: 11.57 / Avg: 11.99 / Max: 12.161. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.17900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77000.56751.1351.70252.272.8375SE +/- 0.008, N = 152.5222.4521.4661.4481.3751.3011.2721.244MIN: 2.47 / MAX: 2.98MIN: 2.42 / MAX: 4.54MIN: 1.45 / MAX: 3.38MIN: 1.37 / MAX: 8.4MIN: 1.36 / MAX: 1.66MIN: 1.24 / MAX: 3.27MIN: 1.2 / MAX: 3.38MIN: 1.23 / MAX: 3.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.17900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700246810Min: 1.38 / Avg: 1.45 / Max: 1.471. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV37900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMD7700AMD 7600Ryzen 7 7700AMD 77000.33860.67721.01581.35441.693SE +/- 0.005, N = 151.5051.4930.8010.7830.7410.7370.7360.725MIN: 1.48 / MAX: 9.16MIN: 1.47 / MAX: 1.96MIN: 0.79 / MAX: 3.51MIN: 0.73 / MAX: 2.85MIN: 0.71 / MAX: 2.7MIN: 0.73 / MAX: 1.1MIN: 0.7 / MAX: 1.39MIN: 0.72 / MAX: 1.21. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV37900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMD7700AMD 7600Ryzen 7 7700AMD 7700246810Min: 0.74 / Avg: 0.78 / Max: 0.81. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnet7900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700AMD 76003691215SE +/- 0.110, N = 1510.56410.3966.5056.2375.9435.8835.5225.322MIN: 10.43 / MAX: 11.26MIN: 10.29 / MAX: 18.12MIN: 6.43 / MAX: 8.41MIN: 5.32 / MAX: 16.05MIN: 5.47 / MAX: 9.31MIN: 5.44 / MAX: 8.54MIN: 5.45 / MAX: 17.02MIN: 5.29 / MAX: 6.271. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnet7900Ryzen 9 7900Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700AMD 76003691215Min: 5.35 / Avg: 6.24 / Max: 6.491. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790050100150200250SE +/- 2.30, N = 3215.76214.15213.01167.47166.07165.87127.05126.281. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079004080120160200Min: 213.33 / Avg: 215.76 / Max: 220.361. (CXX) g++ options: -O2 -lOpenCL

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 3.0Algorithm: SHA256Ryzen 7600 AMDRyzen 7600AMD 76007700AMD 7700Ryzen 7 7700Ryzen 9 790079005000M10000M15000M20000M25000MSE +/- 148039451.93, N = 313223838170133352661001338815632017490744260175380827801754487013024055372380241183031901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA256Ryzen 7600 AMDRyzen 7600AMD 76007700AMD 7700Ryzen 7 7700Ryzen 9 790079004000M8000M12000M16000M20000MMin: 12928360310 / Avg: 13223838170 / Max: 133879069401. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079004080120160200SE +/- 0.48, N = 3203.79203.44203.19161.06161.02160.12122.64122.561. (CXX) g++ options: -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079004080120160200Min: 202.24 / Avg: 203.19 / Max: 203.711. (CXX) g++ options: -O3

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DRyzen 7600 AMDRyzen 7600AMD 7600AMD 77007700Ryzen 7 7700Ryzen 9 790079005001000150020002500SE +/- 9.35, N = 91172.131197.051199.831507.331551.491562.222117.952158.451. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DRyzen 7600 AMDRyzen 7600AMD 7600AMD 77007700Ryzen 7 7700Ryzen 9 79007900400800120016002000Min: 1141.71 / Avg: 1172.13 / Max: 1201.461. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079004080120160200202.76201.95201.93192.75192.36190.87183.17183.09

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 9 79007900Ryzen 7 77007700AMD 77005001000150020002500SE +/- 0.40, N = 32237.082235.312228.872112.152105.732069.752067.232066.07MIN: 2217.88 / MAX: 2258.4MIN: 2217.92 / MAX: 2257.35MIN: 2216.04 / MAX: 2250MIN: 2081.33 / MAX: 2147.82MIN: 2070.42 / MAX: 2146.74MIN: 2024.37 / MAX: 2112.67MIN: 2021.19 / MAX: 2109.88MIN: 2022.59 / MAX: 2107.461. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 9 79007900Ryzen 7 77007700AMD 7700400800120016002000Min: 2234.54 / Avg: 2235.31 / Max: 2235.871. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79004080120160200SE +/- 0.26, N = 3174.24174.02173.72135.18134.78134.16100.60100.47
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900306090120150Min: 173.78 / Avg: 174.24 / Max: 174.69

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79003K6K9K12K15KSE +/- 32.54, N = 37002.27123.67171.77738.07745.27780.810059.712360.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79002K4K6K8K10KMin: 7063.2 / Avg: 7123.57 / Max: 7174.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CRyzen 7 77007700Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 9 790079003K6K9K12K15KSE +/- 8.95, N = 310954.1110989.4111031.3411043.4811044.4611060.8012761.8812794.751. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CRyzen 7 77007700Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 9 790079002K4K6K8K10KMin: 11028.44 / Avg: 11043.48 / Max: 11059.411. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. The sample scene used is the Teapot scene ray-traced to 8K x 8K with 32 samples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total TimeRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900306090120150SE +/- 0.64, N = 3152.68151.72150.66115.82115.75115.5487.4486.301. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total TimeRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900306090120150Min: 150.46 / Avg: 151.72 / Max: 152.541. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79000.45450.9091.36351.8182.2725SE +/- 0.006, N = 31.2311.2341.2371.4651.4681.4802.0182.0201. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900246810Min: 1.22 / Avg: 1.23 / Max: 1.241. (CXX) g++ options: -O3

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 0.11Encoder Speed: 0AMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 79007900306090120150SE +/- 0.10, N = 3143.24142.85142.81116.80116.73115.8895.6994.771. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 0AMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 79007900306090120150Min: 142.66 / Avg: 142.81 / Max: 142.991. (CXX) g++ options: -O3 -fPIC -lm

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelAMD 7600Ryzen 7600Ryzen 7600 AMDAMD 7700Ryzen 7 77007700Ryzen 9 7900790020406080100SE +/- 0.00, N = 37979809494951061071. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelAMD 7600Ryzen 7600Ryzen 7600 AMDAMD 7700Ryzen 7 77007700Ryzen 9 7900790020406080100Min: 79.5 / Avg: 79.5 / Max: 79.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: Parallel7900Ryzen 9 79007700AMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 7700AMD 77002K4K6K8K10KSE +/- 23.08, N = 3702571987489767976837745776577831. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: Parallel7900Ryzen 9 79007700AMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 7700AMD 770014002800420056007000Min: 7637 / Avg: 7682.83 / Max: 7710.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: ParallelAMD 7600Ryzen 7600 AMDRyzen 7600AMD 7700Ryzen 7 770077007900Ryzen 9 7900110220330440550SE +/- 0.17, N = 33783813824424454484954981. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: ParallelAMD 7600Ryzen 7600 AMDRyzen 7600AMD 7700Ryzen 7 770077007900Ryzen 9 790090180270360450Min: 380.5 / Avg: 380.83 / Max: 3811. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900170340510680850SE +/- 0.60, N = 35505525556676686767677721. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900140280420560700Min: 551.5 / Avg: 552.33 / Max: 553.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelAMD 7600Ryzen 7600 AMDRyzen 7600AMD 7700Ryzen 7 770077007900Ryzen 9 7900400800120016002000SE +/- 3.11, N = 3127313041318164016691670191919361. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelAMD 7600Ryzen 7600 AMDRyzen 7600AMD 7700Ryzen 7 770077007900Ryzen 9 790030060090012001500Min: 1300 / Avg: 1303.83 / Max: 13101. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: ParallelRyzen 7600 AMDRyzen 7600AMD 7600AMD 7700Ryzen 7 770077007900Ryzen 9 790015003000450060007500SE +/- 23.47, N = 3465646744678574758395892671567911. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: ParallelRyzen 7600 AMDRyzen 7600AMD 7600AMD 7700Ryzen 7 770077007900Ryzen 9 790012002400360048006000Min: 4624 / Avg: 4655.67 / Max: 4701.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardRyzen 7600Ryzen 7600 AMDAMD 7600AMD 770077007900Ryzen 9 7900Ryzen 7 77002K4K6K8K10KSE +/- 3.09, N = 3398539923994528253335676579683811. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardRyzen 7600Ryzen 7600 AMDAMD 7600AMD 770077007900Ryzen 9 7900Ryzen 7 770015003000450060007500Min: 3985.5 / Avg: 3991.67 / Max: 39951. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790011M22M33M44M55MSE +/- 210730.41, N = 1127167188279574702812176734904509354999553827385047480935507967391. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079009M18M27M36M45MMin: 26455572 / Avg: 27957469.82 / Max: 287915021. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-OnlyAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900306090120150SE +/- 0.20, N = 3135.04134.80134.08104.03103.96103.2977.0276.35
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-OnlyAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900306090120150Min: 134.59 / Avg: 134.8 / Max: 135.19

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790012M24M36M48M60MSE +/- 333145.62, N = 33200953932029776327599424141153242091594421269765535014556368330
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790010M20M30M40M50MMin: 31421530 / Avg: 32029775.67 / Max: 32569453

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079003K6K9K12K15KSE +/- 6.89, N = 37957.97962.27963.910175.610240.710277.314044.514144.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079002K4K6K8K10KMin: 7950.1 / Avg: 7963.87 / Max: 7971.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 80AMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079003691215SE +/- 0.02, N = 310.9711.1211.1311.6111.8011.8211.9812.201. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 80AMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 7900790048121620Min: 11.11 / Avg: 11.13 / Max: 11.161. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 80AMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215SE +/- 0.01, N = 311.2811.4111.4411.9612.0912.1112.2712.531. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 80AMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790048121620Min: 11.4 / Avg: 11.41 / Max: 11.431. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 7700AMD 77007700Ryzen 9 790079009K18K27K36K45KSE +/- 42.32, N = 326241.3226385.9026610.5326612.6626715.2026811.9042376.8043264.201. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 7700AMD 77007700Ryzen 9 790079008K16K24K32K40KMin: 26526.91 / Avg: 26610.53 / Max: 26663.661. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900306090120150SE +/- 0.35, N = 3115.54114.28113.8993.3492.7190.4970.2969.91
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790020406080100Min: 113.67 / Avg: 114.28 / Max: 114.86

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 3.2.3Time To CompileRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900306090120150SE +/- 0.44, N = 3112.85111.95110.9191.4191.2390.7969.8569.53
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790020406080100Min: 111.08 / Avg: 111.95 / Max: 112.53

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Ryzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79000.54251.0851.62752.172.7125SE +/- 0.004557, N = 31.4268981.4310091.4324541.9744481.9752501.9836602.4017552.4110401. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Ryzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 7900246810Min: 1.42 / Avg: 1.43 / Max: 1.431. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 9 7900Ryzen 7 770077007900AMD 77001.30052.6013.90155.2026.5025SE +/- 0.01, N = 35.555.565.565.765.775.785.785.781. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 9 7900Ryzen 7 770077007900AMD 7700246810Min: 5.55 / Avg: 5.56 / Max: 5.571. (CXX) g++ options: -O3

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Ryzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079000.58221.16441.74662.32882.911SE +/- 0.001409, N = 31.4882261.4902001.4909012.0733212.0786132.0884382.5739042.5876191. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Ryzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900246810Min: 1.49 / Avg: 1.49 / Max: 1.491. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 90AMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215SE +/- 0.01, N = 310.7610.9310.9411.4311.5711.6111.7812.001. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 90AMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215Min: 10.92 / Avg: 10.93 / Max: 10.941. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079000.46410.92821.39231.85642.3205SE +/- 0.00775, N = 32.062852.062262.042441.605521.603831.600571.190441.19006
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900246810Min: 2.05 / Avg: 2.06 / Max: 2.08

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: defconfigAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790020406080100SE +/- 0.14, N = 397.4096.3096.2278.7477.8877.6659.2558.80
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790020406080100Min: 95.95 / Avg: 96.22 / Max: 96.4

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 90AMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215SE +/- 0.00, N = 311.0711.2111.2211.7611.9011.9212.0912.321. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 90AMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790048121620Min: 11.21 / Avg: 11.21 / Max: 11.221. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079006001200180024003000SE +/- 0.92, N = 32896.312896.002893.482289.262282.732225.661683.031678.88MIN: 2889.01MIN: 2885.46MIN: 2889.6MIN: 2263.84MIN: 2256.18MIN: 2213.52MIN: 1677.55MIN: 1673.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079005001000150020002500Min: 2894.5 / Avg: 2896.31 / Max: 2897.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79006001200180024003000SE +/- 2.85, N = 32895.712892.902888.442285.982272.722223.941680.331677.70MIN: 2880.28MIN: 2888.21MIN: 2854.93MIN: 2258.7MIN: 2247.96MIN: 2210.21MIN: 1675.48MIN: 1673.081. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPURyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79005001000150020002500Min: 2891.5 / Avg: 2895.71 / Max: 2901.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPURyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079006001200180024003000SE +/- 2.35, N = 32897.712897.082897.052294.352292.332231.811675.601675.22MIN: 2889.51MIN: 2893.38MIN: 2882.96MIN: 2263.65MIN: 2268.98MIN: 2215.43MIN: 1671.36MIN: 1671.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPURyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079005001000150020002500Min: 2893.64 / Avg: 2897.71 / Max: 2901.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670Ryzen 7 7700Ryzen 7600 AMDRyzen 7600AMD 76007700AMD 7700Ryzen 9 7900790020406080100SE +/- 0.07, N = 380.1979.9879.7979.5579.4077.6175.5374.251. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670Ryzen 7 7700Ryzen 7600 AMDRyzen 7600AMD 76007700AMD 7700Ryzen 9 790079001530456075Min: 79.88 / Avg: 79.98 / Max: 80.121. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomRyzen 7600 AMDAMD 7600Ryzen 760077007900AMD 7700Ryzen 7 7700Ryzen 9 79000.40730.81461.22191.62922.0365SE +/- 0.00, N = 31.721.721.731.791.791.791.791.811. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomRyzen 7600 AMDAMD 7600Ryzen 760077007900AMD 7700Ryzen 7 7700Ryzen 9 7900246810Min: 1.72 / Avg: 1.72 / Max: 1.721. (CXX) g++ options: -O3

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteRyzen 7600AMD 7600Ryzen 7 77007700AMD 7700Ryzen 7600 AMD7900Ryzen 9 790020406080100SE +/- 0.15, N = 387.1086.4784.9984.6583.7981.9559.7359.021. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteRyzen 7600AMD 7600Ryzen 7 77007700AMD 7700Ryzen 7600 AMD7900Ryzen 9 790020406080100Min: 81.65 / Avg: 81.95 / Max: 82.151. (CXX) g++ options: -O2 -lOpenCL

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790030060090012001500SE +/- 0.41, N = 31452.401450.701450.631156.111149.161110.93856.02854.95MIN: 1447.04MIN: 1435.36MIN: 1448.24MIN: 1135.88MIN: 1126.63MIN: 1100.71MIN: 851.48MIN: 851.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790030060090012001500Min: 1451.81 / Avg: 1452.4 / Max: 1453.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790030060090012001500SE +/- 1.23, N = 31453.821450.821450.481155.041152.241113.96855.91855.55MIN: 1450.65MIN: 1438.48MIN: 1445.4MIN: 1129.24MIN: 1133.82MIN: 1102.31MIN: 851.85MIN: 851.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790030060090012001500Min: 1448.35 / Avg: 1450.48 / Max: 1452.61. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790030060090012001500SE +/- 0.60, N = 31452.691446.491444.741155.401154.551112.46858.83855.54MIN: 1448.33MIN: 1430.15MIN: 1440.66MIN: 1130.22MIN: 1130.74MIN: 1094.16MIN: 851.32MIN: 851.941. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790030060090012001500Min: 1451.53 / Avg: 1452.69 / Max: 1453.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552Ryzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79001632486480SE +/- 0.33, N = 373.0872.8771.9771.9370.9167.7866.5965.951. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552Ryzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79001428425670Min: 72.45 / Avg: 73.08 / Max: 73.571. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupAMD 7700Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 770077007900Ryzen 9 7900246810SE +/- 0.00, N = 37.244.764.754.754.614.604.464.45
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupAMD 7700Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 770077007900Ryzen 9 79003691215Min: 4.75 / Avg: 4.75 / Max: 4.75

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPURyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 79005K10K15K20K25KSE +/- 40.13, N = 31209012156123521559415640157482116621212
OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPURyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 79004K8K12K16K20KMin: 12282 / Avg: 12352 / Max: 12421

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 1.10.0Speed: Speed 0 - Input: Bosphorus 4KRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 9 790079007700Ryzen 7 7700AMD 77003691215SE +/- 0.02, N = 38.328.428.6110.2810.4110.9610.9911.101. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 4KRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 9 790079007700Ryzen 7 7700AMD 77003691215Min: 8.4 / Avg: 8.42 / Max: 8.451. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetRyzen 9 790079007700Ryzen 7600Ryzen 7 7700AMD 7700AMD 7600Ryzen 7600 AMD0.93831.87662.81493.75324.6915SE +/- 0.01, N = 34.174.161.901.851.761.721.711.71MIN: 4.14 / MAX: 4.86MIN: 4.11 / MAX: 4.2MIN: 1.83 / MAX: 2.67MIN: 1.84 / MAX: 2.07MIN: 1.7 / MAX: 3.08MIN: 1.7 / MAX: 2.15MIN: 1.7 / MAX: 1.75MIN: 1.69 / MAX: 3.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetRyzen 9 790079007700Ryzen 7600Ryzen 7 7700AMD 7700AMD 7600Ryzen 7600 AMD246810Min: 1.7 / Avg: 1.71 / Max: 1.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790020406080100SE +/- 0.04, N = 3110.67110.17110.10100.43100.1399.5493.5090.21MIN: 109.86 / MAX: 120.66MIN: 109.46 / MAX: 111.5MIN: 109.45 / MAX: 116.06MIN: 98.86 / MAX: 105.15MIN: 98.97 / MAX: 104.21MIN: 98.35 / MAX: 108.29MIN: 93.19 / MAX: 97.76MIN: 89.92 / MAX: 96.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790020406080100Min: 110.1 / Avg: 110.17 / Max: 110.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mRyzen 9 790079007700Ryzen 7 7700Ryzen 7600AMD 7600Ryzen 7600 AMDAMD 77003691215SE +/- 0.01, N = 310.5110.344.914.834.814.784.734.61MIN: 10.31 / MAX: 17.48MIN: 10.27 / MAX: 10.81MIN: 4.56 / MAX: 6.15MIN: 4.51 / MAX: 7.13MIN: 4.74 / MAX: 6.32MIN: 4.74 / MAX: 5.24MIN: 4.68 / MAX: 5.18MIN: 4.51 / MAX: 14.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mRyzen 9 790079007700Ryzen 7 7700Ryzen 7600AMD 7600Ryzen 7600 AMDAMD 77003691215Min: 4.72 / Avg: 4.73 / Max: 4.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssd7900Ryzen 9 79007700Ryzen 7 7700Ryzen 7600AMD 7600Ryzen 7600 AMDAMD 77003691215SE +/- 0.01, N = 311.7411.7310.3310.029.209.179.129.09MIN: 11.43 / MAX: 21.52MIN: 11.48 / MAX: 12.69MIN: 9.5 / MAX: 11.46MIN: 9.18 / MAX: 19.45MIN: 8.98 / MAX: 10.63MIN: 9.02 / MAX: 9.75MIN: 8.99 / MAX: 9.91MIN: 8.76 / MAX: 10.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssd7900Ryzen 9 79007700Ryzen 7 7700Ryzen 7600AMD 7600Ryzen 7600 AMDAMD 77003691215Min: 9.11 / Avg: 9.12 / Max: 9.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tiny7900Ryzen 9 79007700Ryzen 7600AMD 7600Ryzen 7 7700Ryzen 7600 AMDAMD 770048121620SE +/- 0.12, N = 314.0913.7013.1212.3412.1912.0612.0311.40MIN: 13.9 / MAX: 14.24MIN: 13.55 / MAX: 14.36MIN: 12.22 / MAX: 14.69MIN: 11.85 / MAX: 14.12MIN: 11.76 / MAX: 12.93MIN: 11.25 / MAX: 14.07MIN: 11.74 / MAX: 13.04MIN: 11.18 / MAX: 13.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tiny7900Ryzen 9 79007700Ryzen 7600AMD 7600Ryzen 7 7700Ryzen 7600 AMDAMD 770048121620Min: 11.9 / Avg: 12.03 / Max: 12.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet507900Ryzen 9 79007700Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 77003691215SE +/- 0.04, N = 312.2012.0911.5211.1111.1111.0610.349.91MIN: 12.02 / MAX: 13.2MIN: 11.98 / MAX: 13.18MIN: 10.79 / MAX: 13.36MIN: 10.95 / MAX: 12.56MIN: 11.03 / MAX: 11.66MIN: 10.94 / MAX: 11.76MIN: 9.67 / MAX: 12.24MIN: 9.79 / MAX: 11.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet507900Ryzen 9 79007700Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 770048121620Min: 11 / Avg: 11.06 / Max: 11.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet7700Ryzen 7 7700Ryzen 9 79007900Ryzen 7600AMD 7700AMD 7600Ryzen 7600 AMD1.05082.10163.15244.20325.254SE +/- 0.00, N = 34.674.664.624.624.434.254.244.24MIN: 4.37 / MAX: 5.86MIN: 4.36 / MAX: 5.78MIN: 4.55 / MAX: 5.51MIN: 4.55 / MAX: 5.18MIN: 4.39 / MAX: 5MIN: 4.19 / MAX: 5.65MIN: 4.22 / MAX: 4.83MIN: 4.21 / MAX: 4.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet7700Ryzen 7 7700Ryzen 9 79007900Ryzen 7600AMD 7700AMD 7600Ryzen 7600 AMD246810Min: 4.24 / Avg: 4.24 / Max: 4.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet187900Ryzen 9 79007700Ryzen 7 7700AMD 7700Ryzen 7600Ryzen 7600 AMDAMD 7600246810SE +/- 0.09, N = 37.167.136.966.035.785.685.655.56MIN: 7 / MAX: 7.92MIN: 6.99 / MAX: 7.93MIN: 6.51 / MAX: 8.09MIN: 5.61 / MAX: 7.05MIN: 5.57 / MAX: 12.93MIN: 5.51 / MAX: 7.09MIN: 5.5 / MAX: 6.42MIN: 5.51 / MAX: 6.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet187900Ryzen 9 79007700Ryzen 7 7700AMD 7700Ryzen 7600Ryzen 7600 AMDAMD 76003691215Min: 5.55 / Avg: 5.65 / Max: 5.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg167700Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 7700Ryzen 9 79007900612182430SE +/- 0.03, N = 326.9125.9125.8825.8525.4324.3524.2424.20MIN: 25.94 / MAX: 29.02MIN: 25.66 / MAX: 27.54MIN: 25.66 / MAX: 26.69MIN: 25.64 / MAX: 31.08MIN: 24.43 / MAX: 27.56MIN: 24.09 / MAX: 34.85MIN: 23.97 / MAX: 25.1MIN: 23.94 / MAX: 25.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg167700Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 7700Ryzen 9 79007900612182430Min: 25.81 / Avg: 25.85 / Max: 25.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetRyzen 9 790079007700Ryzen 7600AMD 7600Ryzen 7 7700Ryzen 7600 AMDAMD 7700246810SE +/- 0.04, N = 38.078.016.705.955.735.695.645.30MIN: 7.97 / MAX: 9.25MIN: 7.91 / MAX: 8.62MIN: 6.24 / MAX: 7.84MIN: 5.85 / MAX: 7.49MIN: 5.68 / MAX: 6.22MIN: 5.28 / MAX: 6.93MIN: 5.54 / MAX: 6.73MIN: 5.22 / MAX: 6.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetRyzen 9 790079007700Ryzen 7600AMD 7600Ryzen 7 7700Ryzen 7600 AMDAMD 77003691215Min: 5.59 / Avg: 5.64 / Max: 5.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceRyzen 9 790079007700Ryzen 7 7700AMD 7700Ryzen 7600AMD 7600Ryzen 7600 AMD0.3150.630.9451.261.575SE +/- 0.00, N = 31.401.390.590.570.540.530.530.53MIN: 1.36 / MAX: 3.18MIN: 1.37 / MAX: 1.49MIN: 0.56 / MAX: 1.26MIN: 0.54 / MAX: 1.6MAX: 0.72MIN: 0.52 / MAX: 0.66MIN: 0.52 / MAX: 0.87MIN: 0.52 / MAX: 0.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceRyzen 9 790079007700Ryzen 7 7700AMD 7700Ryzen 7600AMD 7600Ryzen 7600 AMD246810Min: 0.53 / Avg: 0.53 / Max: 0.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b07900Ryzen 9 79007700Ryzen 7600AMD 7600Ryzen 7 7700Ryzen 7600 AMDAMD 77000.94281.88562.82843.77124.714SE +/- 0.00, N = 34.194.182.912.862.722.702.692.50MIN: 4.14 / MAX: 4.62MIN: 4.15 / MAX: 4.53MIN: 2.68 / MAX: 4.44MIN: 2.81 / MAX: 4.44MIN: 2.68 / MAX: 3.26MIN: 2.48 / MAX: 5.14MIN: 2.66 / MAX: 3.21MIN: 2.46 / MAX: 3.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b07900Ryzen 9 79007700Ryzen 7600AMD 7600Ryzen 7 7700Ryzen 7600 AMDAMD 7700246810Min: 2.69 / Avg: 2.69 / Max: 2.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetRyzen 9 790079007700Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 77000.68851.3772.06552.7543.4425SE +/- 0.00, N = 33.063.061.711.671.611.611.581.50MIN: 3.03 / MAX: 3.57MIN: 3.03 / MAX: 3.46MIN: 1.61 / MAX: 2.55MIN: 1.64 / MAX: 2.16MIN: 1.59 / MAX: 2.01MIN: 1.59 / MAX: 2MIN: 1.48 / MAX: 2.46MIN: 1.48 / MAX: 1.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetRyzen 9 790079007700Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 7700246810Min: 1.6 / Avg: 1.61 / Max: 1.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Ryzen 9 79007900Ryzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77000.7831.5662.3493.1323.915SE +/- 0.00, N = 33.483.481.601.581.581.531.491.45MIN: 3.45 / MAX: 3.74MIN: 3.44 / MAX: 3.9MIN: 1.58 / MAX: 1.99MIN: 1.57 / MAX: 1.93MIN: 1.56 / MAX: 2.18MIN: 1.47 / MAX: 3.01MIN: 1.44 / MAX: 2.07MIN: 1.43 / MAX: 1.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Ryzen 9 79007900Ryzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700246810Min: 1.57 / Avg: 1.58 / Max: 1.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 9 79007900Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77000.67051.3412.01152.6823.3525SE +/- 0.00, N = 32.982.971.581.531.531.501.501.42MIN: 2.94 / MAX: 3.38MIN: 2.94 / MAX: 3.32MIN: 1.53 / MAX: 3.86MIN: 1.51 / MAX: 1.94MIN: 1.5 / MAX: 2.03MIN: 1.39 / MAX: 2.44MIN: 1.39 / MAX: 2.4MIN: 1.4 / MAX: 1.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 9 79007900Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700246810Min: 1.52 / Avg: 1.53 / Max: 1.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 9 79007900Ryzen 7600Ryzen 7 77007700AMD 7600Ryzen 7600 AMDAMD 77000.76731.53462.30193.06923.8365SE +/- 0.00, N = 33.413.392.051.981.981.921.911.87MIN: 3.38 / MAX: 3.79MIN: 3.36 / MAX: 3.7MIN: 2 / MAX: 2.62MIN: 1.84 / MAX: 3.02MIN: 1.83 / MAX: 3.36MIN: 1.89 / MAX: 2.4MIN: 1.88 / MAX: 2.37MIN: 1.83 / MAX: 2.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 9 79007900Ryzen 7600Ryzen 7 77007700AMD 7600Ryzen 7600 AMDAMD 7700246810Min: 1.91 / Avg: 1.91 / Max: 1.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenet7900Ryzen 9 79007700Ryzen 7600Ryzen 7 7700AMD 7600Ryzen 7600 AMDAMD 7700246810SE +/- 0.00, N = 38.678.407.397.137.126.906.896.54MIN: 8.58 / MAX: 9.22MIN: 8.31 / MAX: 8.86MIN: 6.93 / MAX: 8.47MIN: 7.05 / MAX: 8.48MIN: 6.65 / MAX: 8.21MIN: 6.86 / MAX: 7.51MIN: 6.85 / MAX: 7.4MIN: 6.46 / MAX: 8.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenet7900Ryzen 9 79007700Ryzen 7600Ryzen 7 7700AMD 7600Ryzen 7600 AMDAMD 77003691215Min: 6.89 / Avg: 6.89 / Max: 6.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 2022.3Model: Person Detection FP32 - Device: CPURyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 9 79007900AMD 77007700Ryzen 7 770030060090012001500SE +/- 6.34, N = 31315.781306.121298.341190.801179.601039.001034.061032.40MIN: 728.56 / MAX: 1437.75MIN: 773.95 / MAX: 1444.66MIN: 960.85 / MAX: 1409.2MIN: 1049.79 / MAX: 1286.08MIN: 1028.22 / MAX: 1530.8MIN: 913.61 / MAX: 1111.36MIN: 699.51 / MAX: 1128.89MIN: 820.72 / MAX: 1126.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 9 79007900AMD 77007700Ryzen 7 77002004006008001000Min: 1295.28 / Avg: 1306.12 / Max: 1317.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 7600Ryzen 7600 AMDAMD 7600AMD 77007700Ryzen 7 7700Ryzen 9 790079001.14082.28163.42244.56325.704SE +/- 0.01, N = 33.023.053.063.843.853.855.025.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPURyzen 7600Ryzen 7600 AMDAMD 7600AMD 77007700Ryzen 7 7700Ryzen 9 79007900246810Min: 3.03 / Avg: 3.05 / Max: 3.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 9 79007900Ryzen 7 7700AMD 7700770030060090012001500SE +/- 5.45, N = 31309.261303.001293.341159.381153.461032.671016.681015.27MIN: 749.1 / MAX: 1427.46MIN: 1221.08 / MAX: 1432.12MIN: 914.71 / MAX: 1411.42MIN: 1036.64 / MAX: 1295.05MIN: 731.93 / MAX: 1335.35MIN: 975.43 / MAX: 1129.72MIN: 897.5 / MAX: 1118.4MIN: 718.11 / MAX: 1124.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 9 79007900Ryzen 7 7700AMD 770077002004006008001000Min: 1298.37 / Avg: 1309.26 / Max: 1315.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 7700AMD 77007700Ryzen 9 790079001.16782.33563.50344.67125.839SE +/- 0.02, N = 33.043.063.073.873.923.935.165.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 7700AMD 77007700Ryzen 9 79007900246810Min: 3.02 / Avg: 3.04 / Max: 3.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79000.26570.53140.79711.06281.3285SE +/- 0.0005, N = 30.67170.67250.68150.87600.87770.87901.18091.18111. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900246810Min: 0.67 / Avg: 0.67 / Max: 0.671. (CXX) g++ options: -O3 -flto -pthread

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDRyzen 7600 AMDAMD 7600Ryzen 76007900Ryzen 7 7700AMD 77007700Ryzen 9 79003691215SE +/- 0.11, N = 39.349.409.469.729.779.839.859.961. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDRyzen 7600 AMDAMD 7600Ryzen 76007900Ryzen 7 7700AMD 77007700Ryzen 9 79003691215Min: 9.11 / Avg: 9.34 / Max: 9.481. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79003691215SE +/- 0.02, N = 39.119.509.519.869.929.9510.0610.101. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79003691215Min: 9.47 / Avg: 9.51 / Max: 9.551. (CXX) g++ options: -O3

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079000.82581.65162.47743.30324.129SE +/- 0.003762, N = 32.1590672.1597072.1647602.9865162.9944693.0002753.6659113.6700941. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 79007900246810Min: 2.16 / Avg: 2.16 / Max: 2.171. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 2022.3Model: Face Detection FP16 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 9 79007900Ryzen 7 77007700AMD 7700160320480640800SE +/- 1.54, N = 3746.94746.15746.14651.71651.18581.34578.82576.13MIN: 714.17 / MAX: 765.41MIN: 724.14 / MAX: 766.22MIN: 723.99 / MAX: 764.64MIN: 621.09 / MAX: 672.91MIN: 573.67 / MAX: 673.86MIN: 454.21 / MAX: 613.21MIN: 394.1 / MAX: 612.37MIN: 505.33 / MAX: 597.671. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 9 79007900Ryzen 7 77007700AMD 7700130260390520650Min: 744.37 / Avg: 746.94 / Max: 749.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79003691215SE +/- 0.01, N = 35.335.345.366.876.896.939.199.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79003691215Min: 5.32 / Avg: 5.34 / Max: 5.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsRyzen 7600 AMDAMD 7600Ryzen 76007700AMD 7700Ryzen 7 77007900Ryzen 9 7900246810SE +/- 0.00, N = 37.897.907.918.168.178.218.248.271. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsRyzen 7600 AMDAMD 7600Ryzen 76007700AMD 7700Ryzen 7 77007900Ryzen 9 79003691215Min: 7.88 / Avg: 7.89 / Max: 7.891. (CXX) g++ options: -O3

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 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 76007900Ryzen 9 7900Ryzen 7 77007700AMD 770080160240320400SE +/- 0.45, N = 3386.64386.47379.73331.39330.58294.43293.37292.09MIN: 366.98 / MAX: 393.57MIN: 369.88 / MAX: 390.09MIN: 333.61 / MAX: 390.72MIN: 290.18 / MAX: 342.26MIN: 304.74 / MAX: 342.3MIN: 255.5 / MAX: 313.05MIN: 221.79 / MAX: 312MIN: 151.29 / MAX: 340.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 76007900Ryzen 9 7900Ryzen 7 77007700AMD 770070140210280350Min: 385.75 / Avg: 386.64 / Max: 387.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790048121620SE +/- 0.01, N = 310.3310.3410.5213.5713.6113.6818.0718.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900510152025Min: 10.32 / Avg: 10.33 / Max: 10.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 7700AMD 770077007900Ryzen 9 79000.82311.64622.46933.29244.1155SE +/- 0.005, N = 32.0642.0712.0962.6682.6992.7013.6583.658
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 7700AMD 770077007900Ryzen 9 7900246810Min: 2.06 / Avg: 2.06 / Max: 2.07

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900246810SE +/- 0.013, N = 34.5174.5554.5825.7865.8405.8848.0598.098
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079003691215Min: 4.49 / Avg: 4.52 / Max: 4.54

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 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 9 79007900AMD 7700Ryzen 7 770077001530456075SE +/- 0.56, N = 366.4066.3764.2461.5360.7154.2750.1449.54MIN: 52.54 / MAX: 72.87MIN: 56.61 / MAX: 70.47MIN: 35.74 / MAX: 76.68MIN: 51.95 / MAX: 117.17MIN: 49.57 / MAX: 69.26MIN: 43.38 / MAX: 65.85MIN: 39.21 / MAX: 63.67MIN: 31.93 / MAX: 62.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 9 79007900AMD 7700Ryzen 7 770077001326395265Min: 65.28 / Avg: 66.4 / Max: 67.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600AMD 7700Ryzen 7 77007700Ryzen 9 7900790020406080100SE +/- 0.52, N = 360.2260.2462.2473.6579.7680.7097.4998.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600AMD 7700Ryzen 7 77007700Ryzen 9 7900790020406080100Min: 59.64 / Avg: 60.22 / Max: 61.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7600AMD 7600Ryzen 7600 AMDRyzen 9 790079007700Ryzen 7 7700AMD 77001.29382.58763.88145.17526.469SE +/- 0.03, N = 35.755.715.675.445.444.864.794.76MIN: 4.12 / MAX: 15.9MIN: 4.14 / MAX: 17.41MIN: 4.46 / MAX: 8.96MIN: 3.81 / MAX: 14.78MIN: 3.77 / MAX: 13.94MIN: 3.43 / MAX: 7.38MIN: 3.62 / MAX: 17.47MIN: 3.73 / MAX: 12.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7600AMD 7600Ryzen 7600 AMDRyzen 9 790079007700Ryzen 7 7700AMD 7700246810Min: 5.61 / Avg: 5.67 / Max: 5.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79002004006008001000SE +/- 3.37, N = 3695.35699.47705.10822.33834.42839.031102.441102.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79002004006008001000Min: 700.77 / Avg: 705.1 / Max: 711.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 9 790079007700Ryzen 7 7700AMD 77001.32752.6553.98255.316.6375SE +/- 0.05, N = 35.905.805.785.155.154.554.544.48MIN: 3.49 / MAX: 14.2MIN: 3.43 / MAX: 7.38MIN: 3.69 / MAX: 20.19MIN: 3.05 / MAX: 67.86MIN: 3.14 / MAX: 13.79MIN: 2.74 / MAX: 17.33MIN: 2.81 / MAX: 17.18MIN: 2.84 / MAX: 12.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 9 790079007700Ryzen 7 7700AMD 7700246810Min: 5.81 / Avg: 5.9 / Max: 5.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790030060090012001500SE +/- 5.59, N = 3676.76688.76691.78878.78879.31892.321163.451164.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079002004006008001000Min: 669.26 / Avg: 676.76 / Max: 687.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Ryzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79000.87091.74182.61273.48364.3545SE +/- 0.001525, N = 32.2202512.2275092.2317983.1034173.1149243.1409103.8673513.8707271. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Ryzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 7900246810Min: 2.23 / Avg: 2.23 / Max: 2.231. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 76007900Ryzen 9 7900AMD 7700Ryzen 7 770077003691215SE +/- 0.02, N = 310.7810.6710.668.928.918.628.148.12MIN: 4.84 / MAX: 21.35MIN: 6.39 / MAX: 19.07MIN: 5.63 / MAX: 25.42MIN: 4.89 / MAX: 19.33MIN: 5.72 / MAX: 19.34MIN: 4.21 / MAX: 29.5MIN: 5.28 / MAX: 22.47MIN: 4.51 / MAX: 22.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 76007900Ryzen 9 7900AMD 7700Ryzen 7 770077003691215Min: 10.74 / Avg: 10.78 / Max: 10.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600AMD 7700Ryzen 7 770077007900Ryzen 9 7900150300450600750SE +/- 0.75, N = 3370.90374.50375.11463.77490.93491.96672.13672.901. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600AMD 7700Ryzen 7 770077007900Ryzen 9 7900120240360480600Min: 369.71 / Avg: 370.9 / Max: 372.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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 0.11Encoder Speed: 2Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079001530456075SE +/- 0.03, N = 367.8267.8167.6956.5756.4455.9947.2347.101. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 2Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079001326395265Min: 67.63 / Avg: 67.69 / Max: 67.751. (CXX) g++ options: -O3 -fPIC -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 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 9 79007900Ryzen 7 77007700AMD 7700246810SE +/- 0.05, N = 37.597.577.576.536.535.825.815.77MIN: 3.97 / MAX: 15.26MIN: 3.93 / MAX: 20.27MIN: 3.89 / MAX: 15.51MIN: 3.38 / MAX: 14.89MIN: 3.39 / MAX: 14.56MIN: 3.02 / MAX: 17.51MIN: 3.21 / MAX: 17.52MIN: 3.07 / MAX: 13.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 9 79007900Ryzen 7 77007700AMD 77003691215Min: 7.48 / Avg: 7.57 / Max: 7.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79002004006008001000SE +/- 3.29, N = 3526.47527.63527.78686.56687.93692.33917.78918.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900160320480640800Min: 523.88 / Avg: 527.63 / Max: 534.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU7900Ryzen 9 7900Ryzen 7 7700AMD 77007700AMD 7600Ryzen 7600 AMDRyzen 7600246810SE +/- 0.01, N = 36.556.545.845.845.845.685.685.67MIN: 3.66 / MAX: 14.89MIN: 3.68 / MAX: 16.14MIN: 3.11 / MAX: 18.54MIN: 3.13 / MAX: 13.02MIN: 3.2 / MAX: 17.68MIN: 3.04 / MAX: 13.81MIN: 3.14 / MAX: 13.67MIN: 3.77 / MAX: 11.121. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPU7900Ryzen 9 7900Ryzen 7 7700AMD 77007700AMD 7600Ryzen 7600 AMDRyzen 76003691215Min: 5.67 / Avg: 5.68 / Max: 5.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 7700AMD 770077007900Ryzen 9 7900400800120016002000SE +/- 1.12, N = 31056.401056.821058.541368.901368.951369.351830.421832.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 7700AMD 770077007900Ryzen 9 790030060090012001500Min: 1054.6 / Avg: 1056.82 / Max: 1058.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 79007900AMD 77007700Ryzen 7 7700Ryzen 7600AMD 7600Ryzen 7600 AMD0.09680.19360.29040.38720.484SE +/- 0.00, N = 30.430.430.380.380.370.360.360.36MIN: 0.26 / MAX: 8.94MIN: 0.26 / MAX: 9.51MIN: 0.24 / MAX: 2.35MIN: 0.23 / MAX: 13MIN: 0.23 / MAX: 12.31MIN: 0.22 / MAX: 12.84MIN: 0.22 / MAX: 7.98MIN: 0.22 / MAX: 8.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 9 79007900AMD 77007700Ryzen 7 7700Ryzen 7600AMD 7600Ryzen 7600 AMD12345Min: 0.36 / Avg: 0.36 / Max: 0.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 7600AMD 7600Ryzen 7600 AMDAMD 77007700Ryzen 7 77007900Ryzen 9 79006K12K18K24K30KSE +/- 16.00, N = 316423.7716444.4416510.7320765.7621050.5021184.2027518.7827522.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURyzen 7600AMD 7600Ryzen 7600 AMDAMD 77007700Ryzen 7 77007900Ryzen 9 79005K10K15K20K25KMin: 16479.38 / Avg: 16510.73 / Max: 16531.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU7900Ryzen 9 7900Ryzen 7 77007700Ryzen 7600AMD 7700AMD 7600Ryzen 7600 AMD0.16430.32860.49290.65720.8215SE +/- 0.00, N = 30.730.720.640.640.630.630.630.63MIN: 0.39 / MAX: 9.37MIN: 0.4 / MAX: 8.98MIN: 0.37 / MAX: 13.2MIN: 0.36 / MAX: 12.27MIN: 0.34 / MAX: 12.67MIN: 0.38 / MAX: 8.56MIN: 0.39 / MAX: 1.84MIN: 0.34 / MAX: 8.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU7900Ryzen 9 7900Ryzen 7 77007700Ryzen 7600AMD 7700AMD 7600Ryzen 7600 AMD246810Min: 0.63 / Avg: 0.63 / Max: 0.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79004K8K12K16K20KSE +/- 0.99, N = 39490.509510.359516.2612469.4412534.5212608.1416311.4716466.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79003K6K9K12K15KMin: 9488.78 / Avg: 9490.5 / Max: 9492.21. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790060K120K180K240K300KSE +/- 1138.26, N = 131656601673431688102178302205502209602951302956601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790050K100K150K200K250KMin: 159580 / Avg: 167343.08 / Max: 1766601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790060K120K180K240K300KSE +/- 6.07, N = 3147943.7147994.7148020.7193624.5194057.2194261.5274898.7275022.11. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790050K100K150K200K250KMin: 148008.6 / Avg: 148020.67 / Max: 148027.91. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096Ryzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79009001800270036004500SE +/- 0.25, N = 32265.12265.42265.52954.22958.42968.44201.84203.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096Ryzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79007001400210028003500Min: 2264.8 / Avg: 2265.1 / Max: 2265.61. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DRyzen 7600 AMDRyzen 76007700Ryzen 9 7900AMD 7600Ryzen 7 7700AMD 770079001530456075SE +/- 0.87, N = 366.5762.4761.6358.2057.1153.9353.7652.071. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DRyzen 7600 AMDRyzen 76007700Ryzen 9 7900AMD 7600Ryzen 7 7700AMD 770079001326395265Min: 64.82 / Avg: 66.57 / Max: 67.481. (CXX) g++ options: -O2 -lOpenCL

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 2.1Video Input: Bosphorus 4K - Video Preset: MediumRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 7900790048121620SE +/- 0.00, N = 39.099.109.1211.3211.3311.3613.8913.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: MediumRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 7900790048121620Min: 9.12 / Avg: 9.12 / Max: 9.131. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790010K20K30K40K50KSE +/- 16.61, N = 331737.6131784.5231801.6943900.9143910.5344080.0844535.6044554.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79008K16K24K32K40KMin: 31705.19 / Avg: 31737.61 / Max: 31760.131. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

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 1080pRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 790048121620SE +/- 0.00, N = 39.229.239.2311.8411.8511.9315.6215.651. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 790048121620Min: 9.23 / Avg: 9.23 / Max: 9.231. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79001428425670SE +/- 0.02, N = 364.3764.3364.3349.0348.9548.7934.5434.031. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79001326395265Min: 64.31 / Avg: 64.33 / Max: 64.361. (CC) gcc options: -lm -lpthread -O3

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream7900Ryzen 9 7900Ryzen 7 77007700AMD 7700Ryzen 7600 AMDRyzen 7600AMD 7600150300450600750SE +/- 0.22, N = 3703.74703.55650.70650.21647.74630.93630.50629.80
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream7900Ryzen 9 7900Ryzen 7 77007700AMD 7700Ryzen 7600 AMDRyzen 7600AMD 7600120240360480600Min: 630.56 / Avg: 630.93 / Max: 631.33

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900246810SE +/- 0.0028, N = 34.75364.75804.76336.11826.14556.16448.51768.5267
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79003691215Min: 4.75 / Avg: 4.75 / Max: 4.76

Timed PHP Compilation

This test times how long it takes to build PHP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079001326395265SE +/- 0.29, N = 356.4156.3355.8048.9348.7748.3440.8039.74
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079001122334455Min: 55.44 / Avg: 55.8 / Max: 56.36

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream7900Ryzen 9 7900Ryzen 7 77007700AMD 7700Ryzen 7600 AMDRyzen 7600AMD 7600150300450600750SE +/- 0.30, N = 3705.41704.98651.97651.14649.26630.99630.90630.55
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream7900Ryzen 9 7900Ryzen 7 77007700AMD 7700Ryzen 7600 AMDRyzen 7600AMD 7600120240360480600Min: 630.61 / Avg: 630.99 / Max: 631.58

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900246810SE +/- 0.0023, N = 34.75444.75504.75766.13476.14256.16038.50388.5039
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215Min: 4.75 / Avg: 4.75 / Max: 4.76

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 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KRyzen 7600AMD 7600Ryzen 7600 AMDAMD 7700Ryzen 7 770077007900Ryzen 9 79001.00532.01063.01594.02125.0265SE +/- 0.003, N = 33.0343.0423.0583.6803.6843.6864.4524.4681. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KRyzen 7600AMD 7600Ryzen 7600 AMDAMD 7700Ryzen 7 770077007900Ryzen 9 7900246810Min: 3.05 / Avg: 3.06 / Max: 3.061. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamRyzen 9 79007900Ryzen 7 7700AMD 77007700Ryzen 7600 AMDAMD 7600Ryzen 760020406080100SE +/- 0.16, N = 396.8996.5587.6786.9286.9084.2684.2284.01
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamRyzen 9 79007900Ryzen 7 7700AMD 77007700Ryzen 7600 AMDAMD 7600Ryzen 760020406080100Min: 84.06 / Avg: 84.26 / Max: 84.59

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 7700AMD 77007700Ryzen 9 790079001428425670SE +/- 0.07, N = 335.6035.6135.7045.6246.0146.0261.8562.12
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 7700AMD 77007700Ryzen 9 790079001224364860Min: 35.46 / Avg: 35.6 / Max: 35.68

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To CompileRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079001224364860SE +/- 0.08, N = 351.9151.5551.4944.6044.5744.0838.6738.61
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To CompileRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079001020304050Min: 51.38 / Avg: 51.55 / Max: 51.63

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileRyzen 7600AMD 7600Ryzen 7600 AMD7700AMD 7700Ryzen 7 7700Ryzen 9 790079001224364860SE +/- 0.45, N = 353.1350.8150.7744.7044.3344.1837.9337.911. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileRyzen 7600AMD 7600Ryzen 7600 AMD7700AMD 7700Ryzen 7 7700Ryzen 9 790079001122334455Min: 50.26 / Avg: 50.77 / Max: 51.671. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512Ryzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079001.1272.2543.3814.5085.635SE +/- 0.002307, N = 32.9011612.9059882.9080294.0526404.0622214.0796294.9949205.0088201. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512Ryzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900246810Min: 2.9 / Avg: 2.91 / Max: 2.911. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedRyzen 7600AMD 7700Ryzen 7600 AMDRyzen 9 7900Ryzen 7 77007900AMD 7600770012002400360048006000SE +/- 54.15, N = 35039.85130.45133.05176.65186.45206.55239.25379.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedRyzen 7600AMD 7700Ryzen 7600 AMDRyzen 9 7900Ryzen 7 77007900AMD 760077009001800270036004500Min: 5069.6 / Avg: 5132.97 / Max: 5240.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression SpeedRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079001224364860SE +/- 0.03, N = 335.735.935.945.846.446.851.051.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression SpeedRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079001020304050Min: 35.9 / Avg: 35.93 / Max: 361. (CC) gcc options: -O3 -pthread -lz -llzma

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Ryzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79001.16792.33583.50374.67165.8395SE +/- 0.002271, N = 32.9660522.9683642.9695584.1528344.1555654.1815695.1694645.1907011. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Ryzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 77007900Ryzen 9 7900246810Min: 2.96 / Avg: 2.97 / Max: 2.971. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Ryzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79001.18112.36223.54334.72445.9055SE +/- 0.001126, N = 32.9777732.9807822.9813094.1784614.2029634.2289765.2011375.2492151. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Ryzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900246810Min: 2.98 / Avg: 2.98 / Max: 2.981. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DAMD 7600Ryzen 7600Ryzen 7600 AMDAMD 7700Ryzen 7 77007700Ryzen 9 7900790030060090012001500SE +/- 6.92, N = 31299.851304.941322.961401.101428.571452.371464.481498.341. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DAMD 7600Ryzen 7600Ryzen 7600 AMDAMD 7700Ryzen 7 77007700Ryzen 9 7900790030060090012001500Min: 1314.23 / Avg: 1322.96 / Max: 1336.621. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamRyzen 9 79007900Ryzen 7 77007700AMD 7700AMD 7600Ryzen 7600Ryzen 7600 AMD1632486480SE +/- 0.12, N = 374.1574.1069.6869.6168.9162.7762.5762.38
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamRyzen 9 79007900Ryzen 7 77007700AMD 7700AMD 7600Ryzen 7600Ryzen 7600 AMD1428425670Min: 62.16 / Avg: 62.38 / Max: 62.59

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 7900790020406080100SE +/- 0.10, N = 347.7847.9348.0957.3957.4558.0480.8980.95
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079001530456075Min: 47.92 / Avg: 48.09 / Max: 48.25

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Ryzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79001.21292.42583.63874.85166.0645SE +/- 0.000394, N = 33.0304733.0391883.0396274.2971274.2982684.3287695.3610255.3905231. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Ryzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 7900246810Min: 3.04 / Avg: 3.04 / Max: 3.041. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 9 7900AMD 7700Ryzen 7 7700790060120180240300SE +/- 0.33, N = 3259257256248247247246246
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 9 7900AMD 7700Ryzen 7 7700790050100150200250Min: 259 / Avg: 259.33 / Max: 260

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790050100150200250SE +/- 0.15, N = 3212.24212.12212.11164.06163.45163.05126.52126.12
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079004080120160200Min: 211.98 / Avg: 212.24 / Max: 212.49

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900246810SE +/- 0.0033, N = 34.71164.71414.71456.09526.11786.13307.90377.9284
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215Min: 4.71 / Avg: 4.71 / Max: 4.72

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790050100150200250SE +/- 0.11, N = 3212.01211.97211.80164.38164.29162.58126.34126.31
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79004080120160200Min: 211.63 / Avg: 211.8 / Max: 212

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 7900246810SE +/- 0.0024, N = 34.71674.71754.72136.08326.08666.15077.91517.9169
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79003691215Min: 4.72 / Avg: 4.72 / Max: 4.73

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 79007900714212835SE +/- 0.08, N = 331.4331.3031.2624.9624.7624.6121.2721.14
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 79007900714212835Min: 31.1 / Avg: 31.26 / Max: 31.36

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079001122334455SE +/- 0.08, N = 331.8131.9431.9940.0540.3840.6347.0047.29
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079001020304050Min: 31.88 / Avg: 31.99 / Max: 32.15

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream7900Ryzen 9 7900Ryzen 7 77007700AMD 7700AMD 7600Ryzen 7600 AMDRyzen 76001122334455SE +/- 0.03, N = 347.4747.1243.4643.3843.2642.2042.0041.76
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream7900Ryzen 9 7900Ryzen 7 77007700AMD 7700AMD 7600Ryzen 7600 AMDRyzen 76001020304050Min: 41.94 / Avg: 42 / Max: 42.04

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900306090120150SE +/- 0.05, N = 371.0871.4071.8292.0192.1892.45126.36127.26
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790020406080100Min: 71.34 / Avg: 71.4 / Max: 71.51

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To CompileAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79001122334455SE +/- 0.23, N = 347.2847.1746.8538.4738.4138.2829.4929.17
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To CompileAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79001020304050Min: 46.38 / Avg: 46.85 / Max: 47.09

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 77007700Ryzen 9 7900790012002400360048006000SE +/- 7.45, N = 35058.05072.45074.25185.25220.65364.15436.15452.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 77007700Ryzen 9 790079009001800270036004500Min: 5063.5 / Avg: 5074.17 / Max: 5088.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 7700AMD 77007700Ryzen 9 790079001428425670SE +/- 0.12, N = 342.843.143.652.452.552.663.864.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 7700AMD 77007700Ryzen 9 790079001326395265Min: 43.4 / Avg: 43.57 / Max: 43.81. (CC) gcc options: -O3 -pthread -lz -llzma

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079001020304050SE +/- 0.06, N = 346.0545.9745.9238.2538.2137.6829.0128.88
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 79007900918273645Min: 45.81 / Avg: 45.92 / Max: 46.02

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 76007900Ryzen 9 79007700Ryzen 7 7700AMD 7700510152025SE +/- 0.03, N = 321.8621.8621.7818.3218.2516.9916.9716.86
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 76007900Ryzen 9 79007700Ryzen 7 7700AMD 7700510152025Min: 21.79 / Avg: 21.86 / Max: 21.89

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamAMD 7600Ryzen 7600 AMDRyzen 76007900Ryzen 9 79007700Ryzen 7 7700AMD 77001326395265SE +/- 0.07, N = 345.7445.7445.9154.5854.7858.8458.9159.30
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamAMD 7600Ryzen 7600 AMDRyzen 76007900Ryzen 9 79007700Ryzen 7 7700AMD 77001224364860Min: 45.66 / Avg: 45.74 / Max: 45.88

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 1AMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700Ryzen 9 7900AMD 770079001632486480SE +/- 0.09, N = 367.9369.3669.9470.4471.3671.3671.9072.61
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 1AMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700Ryzen 9 7900AMD 770079001428425670Min: 69.79 / Avg: 69.94 / Max: 70.11

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 9 790079007700Ryzen 7 7700AMD 7700Ryzen 7600AMD 7600Ryzen 7600 AMD1632486480SE +/- 0.31, N = 370.3370.3264.1763.6763.5060.4160.3360.29
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 9 790079007700Ryzen 7 7700AMD 7700Ryzen 7600AMD 7600Ryzen 7600 AMD1428425670Min: 59.67 / Avg: 60.29 / Max: 60.61

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 7900790020406080100SE +/- 0.26, N = 349.6349.6549.7262.3062.7562.9585.1685.19
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079001632486480Min: 49.45 / Avg: 49.72 / Max: 50.24

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 9 79007900Ryzen 7 77007700AMD 7700Ryzen 7600 AMDAMD 7600Ryzen 7600714212835SE +/- 0.02, N = 329.8429.6727.3827.3127.2426.4326.3526.34
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 9 79007900Ryzen 7 77007700AMD 7700Ryzen 7600 AMDAMD 7600Ryzen 7600714212835Min: 26.41 / Avg: 26.43 / Max: 26.48

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079004080120160200SE +/- 0.10, N = 3113.45113.78113.83146.03146.43146.77200.92202.12
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079004080120160200Min: 113.25 / Avg: 113.45 / Max: 113.55

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790048121620SE +/- 0.02, N = 315.6815.6415.6312.4812.4312.3910.8510.71
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790048121620Min: 15.65 / Avg: 15.68 / Max: 15.72

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790020406080100SE +/- 0.08, N = 363.7663.9063.9580.0980.4480.7092.1393.30
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790020406080100Min: 63.6 / Avg: 63.76 / Max: 63.88

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900612182430SE +/- 0.03, N = 323.3623.3523.3318.4218.3118.2715.3615.30
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900510152025Min: 23.32 / Avg: 23.36 / Max: 23.43

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079001530456075SE +/- 0.06, N = 342.7942.8242.8654.2654.5954.7165.0665.31
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079001326395265Min: 42.67 / Avg: 42.79 / Max: 42.87

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215SE +/- 0.0166, N = 311.727311.715811.69178.03018.02747.97517.60637.5604
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215Min: 11.68 / Avg: 11.72 / Max: 11.74

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900306090120150SE +/- 0.12, N = 385.2385.3185.48124.44124.49125.30131.38132.18
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790020406080100Min: 85.13 / Avg: 85.31 / Max: 85.54

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Decompression SpeedAMD 7600Ryzen 7600 AMD7700Ryzen 7600Ryzen 9 7900Ryzen 7 7700AMD 7700790013002600390052006500SE +/- 7.12, N = 35826.35834.25956.56021.36049.26188.36198.96277.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Decompression SpeedAMD 7600Ryzen 7600 AMD7700Ryzen 7600Ryzen 9 7900Ryzen 7 7700AMD 7700790011002200330044005500Min: 5823.7 / Avg: 5834.23 / Max: 5847.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Compression SpeedRyzen 7 77007700AMD 7700Ryzen 7600AMD 7600Ryzen 7600 AMD7900Ryzen 9 7900400800120016002000SE +/- 9.87, N = 31090.61110.21119.31180.21231.31248.81985.82025.31. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Compression SpeedRyzen 7 77007700AMD 7700Ryzen 7600AMD 7600Ryzen 7600 AMD7900Ryzen 9 7900400800120016002000Min: 1232.9 / Avg: 1248.83 / Max: 1266.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Decompression SpeedAMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 7900Ryzen 7600790012002400360048006000SE +/- 86.19, N = 35547.85596.15702.75715.15716.25722.75745.45794.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Decompression SpeedAMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 7900Ryzen 7600790010002000300040005000Min: 5449.9 / Avg: 5596.07 / Max: 5748.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Compression SpeedAMD 7600Ryzen 7600 AMDRyzen 76007700AMD 7700Ryzen 7 77007900Ryzen 9 790013002600390052006500SE +/- 11.07, N = 34772.94776.64863.45055.35126.45140.06230.76289.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Compression SpeedAMD 7600Ryzen 7600 AMDRyzen 76007700AMD 7700Ryzen 7 77007900Ryzen 9 790011002200330044005500Min: 4762.8 / Avg: 4776.6 / Max: 4798.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Decompression SpeedAMD 7600Ryzen 7 7700Ryzen 7600 AMD7700AMD 77007900Ryzen 7600Ryzen 9 790014002800420056007000SE +/- 67.24, N = 35943.06083.36086.86098.46118.56167.26167.66423.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Decompression SpeedAMD 7600Ryzen 7 7700Ryzen 7600 AMD7700AMD 77007900Ryzen 7600Ryzen 9 790011002200330044005500Min: 5952.5 / Avg: 6086.83 / Max: 6159.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Compression SpeedRyzen 9 79007900Ryzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700400800120016002000SE +/- 3.73, N = 31824.81825.41936.91937.11942.82007.32009.02012.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Compression SpeedRyzen 9 79007900Ryzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700400800120016002000Min: 1936.5 / Avg: 1942.8 / Max: 1949.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Decompression SpeedAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790014002800420056007000SE +/- 3.15, N = 36188.26200.66208.36311.66336.66347.16404.16696.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Decompression SpeedAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790012002400360048006000Min: 6202.8 / Avg: 6208.3 / Max: 6213.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression SpeedAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 79007900400800120016002000SE +/- 2.90, N = 31319.11320.81326.31443.81445.11454.31636.71637.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression SpeedAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 7900790030060090012001500Min: 1321.8 / Avg: 1326.27 / Max: 1331.71. (CC) gcc options: -O3 -pthread -lz -llzma

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughAMD 7600Ryzen 7600Ryzen 7600 AMDAMD 77007700Ryzen 7 7700Ryzen 9 790079003691215SE +/- 0.0037, N = 36.40476.47756.47858.42588.42768.445511.201111.20341. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughAMD 7600Ryzen 7600Ryzen 7600 AMDAMD 77007700Ryzen 7 7700Ryzen 9 790079003691215Min: 6.47 / Avg: 6.48 / Max: 6.491. (CXX) g++ options: -O3 -flto -pthread

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900150K300K450K600K750KSE +/- 1264.79, N = 3384184.41385213.54385542.17494267.87497649.99509464.00691509.80695719.391. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900120K240K360K480K600KMin: 383928.33 / Avg: 385213.54 / Max: 387743.011. (CC) gcc options: -O2 -lrt" -lrt

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsAMD 7600Ryzen 7600Ryzen 7600 AMDAMD 7700Ryzen 7 770077007900Ryzen 9 7900816243240SE +/- 0.04, N = 333.1933.1333.0732.3732.0832.0531.7231.431. git version 2.34.1
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsAMD 7600Ryzen 7600Ryzen 7600 AMDAMD 7700Ryzen 7 770077007900Ryzen 9 7900714212835Min: 32.99 / Avg: 33.07 / Max: 33.141. git version 2.34.1

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 1.10.0Speed: Speed 0 - Input: Bosphorus 1080pRyzen 7600 AMDRyzen 7600AMD 76007900Ryzen 9 7900Ryzen 7 77007700AMD 7700612182430SE +/- 0.06, N = 317.2017.2317.3021.1721.3922.4522.4922.971. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 0 - Input: Bosphorus 1080pRyzen 7600 AMDRyzen 7600AMD 76007900Ryzen 9 7900Ryzen 7 77007700AMD 7700510152025Min: 17.11 / Avg: 17.2 / Max: 17.321. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

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 4K7700AMD 7600AMD 7700Ryzen 7600Ryzen 7600 AMDRyzen 7 7700Ryzen 9 79007900714212835SE +/- 0.23, N = 316.4217.1917.6817.7717.9017.9727.9728.041. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K7700AMD 7600AMD 7700Ryzen 7600Ryzen 7600 AMDRyzen 7 7700Ryzen 9 79007900612182430Min: 17.66 / Avg: 17.9 / Max: 18.361. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1BAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 7900816243240SE +/- 0.10, N = 333.0833.0432.9928.0328.0027.8923.3223.30
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1BAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 7900714212835Min: 32.81 / Avg: 32.99 / Max: 33.12

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3AMD 7700AMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 9 7900Ryzen 7 770079004080120160200SE +/- 0.00, N = 3177174173173168167167167
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3AMD 7700AMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 9 7900Ryzen 7 77007900306090120150Min: 173 / Avg: 173 / Max: 173

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateAMD 7600Ryzen 7600 AMDRyzen 760077007900Ryzen 7 7700AMD 7700Ryzen 9 7900612182430SE +/- 0.00, N = 325.825.825.724.824.724.624.624.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateAMD 7600Ryzen 7600 AMDRyzen 760077007900Ryzen 7 7700AMD 7700Ryzen 9 7900612182430Min: 25.8 / Avg: 25.8 / Max: 25.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 7700AMD 77007700Ryzen 9 790079003691215SE +/- 0.00, N = 310.710.610.610.410.310.310.110.1
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 7700AMD 77007700Ryzen 9 790079003691215Min: 10.6 / Avg: 10.6 / Max: 10.6

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To CompileAMD 7600Ryzen 7600 AMDRyzen 76007700AMD 7700Ryzen 7 77007900Ryzen 9 7900816243240SE +/- 0.08, N = 335.0735.0634.9228.2327.9327.5621.1421.08
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To CompileAMD 7600Ryzen 7600 AMDRyzen 76007700AMD 7700Ryzen 7 77007900Ryzen 9 7900714212835Min: 34.92 / Avg: 35.06 / Max: 35.18

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7Ryzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790013K26K39K52K65KSE +/- 2.66, N = 335804.8235828.1435844.4446662.8746993.7047545.7362268.3862268.641. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7Ryzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790011K22K33K44K55KMin: 35799.77 / Avg: 35804.82 / Max: 35808.771. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790040K80K120K160K200KSE +/- 21.86, N = 31148931153301154301479101494501533502071402084701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790040K80K120K160K200KMin: 114850 / Avg: 114893.33 / Max: 1149201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 9 7900Ryzen 7 770079007700AMD 770010002000300040005000SE +/- 39.25, N = 33534.183579.503598.294390.504553.534566.154593.064711.291. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 9 7900Ryzen 7 770079007700AMD 77008001600240032004000Min: 3547.41 / Avg: 3598.29 / Max: 3675.51. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SRyzen 7600AMD 7600Ryzen 7600 AMDAMD 7700Ryzen 7 77007700Ryzen 9 79007900300K600K900K1200K1500KSE +/- 2843.36, N = 3662460662700664113691560868880879560118228011891201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SRyzen 7600AMD 7600Ryzen 7600 AMDAMD 7700Ryzen 7 77007700Ryzen 9 79007900200K400K600K800K1000KMin: 661250 / Avg: 664113.33 / Max: 6698001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 79007900100200300400500SE +/- 1.68, N = 3250.53251.35252.86325.46331.57332.81449.60451.131. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 7900790080160240320400Min: 250.86 / Avg: 252.86 / Max: 256.21. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 77007900Ryzen 9 7900160320480640800SE +/- 1.54, N = 3400.76402.03406.47516.97517.61531.73726.49733.321. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 77007900Ryzen 9 7900130260390520650Min: 400.19 / Avg: 402.03 / Max: 405.081. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 7900790011K22K33K44K55KSE +/- 250.27, N = 333330333403353043080431404319049110524901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079009K18K27K36K45KMin: 33260 / Avg: 33530 / Max: 340301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinAMD 7600Ryzen 7600 AMDRyzen 7600AMD 77007700Ryzen 7 7700Ryzen 9 790079006001200180024003000SE +/- 4.41, N = 31684.911692.201709.612207.982226.512268.583027.673027.861. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinAMD 7600Ryzen 7600 AMDRyzen 7600AMD 77007700Ryzen 7 7700Ryzen 9 790079005001000150020002500Min: 1684.16 / Avg: 1692.2 / Max: 1699.361. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 7700AMD 77007700Ryzen 9 7900790020K40K60K80K100KSE +/- 26.67, N = 353693538105384070730717507236096150963101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 7700AMD 77007700Ryzen 9 7900790020K40K60K80K100KMin: 53640 / Avg: 53693.33 / Max: 537201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 79003K6K9K12K15KSE +/- 16.47, N = 37943.927944.477961.3710380.0010410.0010440.0014700.0014700.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 79003K6K9K12K15KMin: 7944.38 / Avg: 7961.37 / Max: 7994.311. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790040K80K120K160K200KSE +/- 695.37, N = 31030301030401033371344501348001376501815401834101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790030K60K90K120K150KMin: 102460 / Avg: 103336.67 / Max: 1047101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079002004006008001000SE +/- 1.16, N = 3446.02448.30448.72583.09583.56586.79804.66804.791. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 79007900140280420560700Min: 446.67 / Avg: 448.72 / Max: 450.71. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRyzen 7600Ryzen 7600 AMDAMD 7600AMD 77007700Ryzen 7 77007900Ryzen 9 790020406080100SE +/- 0.00, N = 383.082.782.379.579.579.479.278.6
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRyzen 7600Ryzen 7600 AMDAMD 7600AMD 77007700Ryzen 7 77007900Ryzen 9 79001632486480Min: 82.7 / Avg: 82.7 / Max: 82.7

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 77007900AMD 7700Ryzen 9 79000.19350.3870.58050.7740.9675SE +/- 0.00, N = 30.810.820.820.840.840.850.850.861. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 77007900AMD 7700Ryzen 9 7900246810Min: 0.81 / Avg: 0.82 / Max: 0.821. (CC) gcc options: -fvisibility=hidden -O2 -lm

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 2 - Buffer Length: 256 - Filter Length: 57Ryzen 9 7900Ryzen 7600 AMDAMD 7600Ryzen 7600AMD 7700Ryzen 7 77007900770040M80M120M160M200MSE +/- 1746140.93, N = 71923100001968728571975100001999600002057600002070400002075200002080100001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 2 - Buffer Length: 256 - Filter Length: 57Ryzen 9 7900Ryzen 7600 AMDAMD 7600Ryzen 7600AMD 7700Ryzen 7 77007900770040M80M120M160M200MMin: 187130000 / Avg: 196872857.14 / Max: 2000900001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700Ryzen 9 7900AMD 7700790020406080100SE +/- 1.20, N = 383.581.979.979.679.478.477.577.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700Ryzen 9 7900AMD 770079001632486480Min: 81.3 / Avg: 83.53 / Max: 85.4

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B7700Ryzen 7 7700Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 77007900Ryzen 9 79004K8K12K16K20KSE +/- 6.22, N = 312225.6912239.6412314.2112327.5012334.2612368.4520541.0420602.991. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B7700Ryzen 7 7700Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 77007900Ryzen 9 79004K8K12K16K20KMin: 12315.32 / Avg: 12327.5 / Max: 12335.811. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

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 1.10.0Speed: Speed 5 - Input: Bosphorus 4KRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 9 79007900AMD 7700Ryzen 7 77007700714212835SE +/- 0.11, N = 321.3121.9622.3623.9924.3629.0129.1930.161. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4KRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 9 79007900AMD 7700Ryzen 7 77007700714212835Min: 21.73 / Avg: 21.96 / Max: 22.11. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700Ryzen 9 79007900AMD 770050100150200250SE +/- 0.33, N = 3232232231225225223223221
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700Ryzen 9 79007900AMD 77004080120160200Min: 231 / Avg: 231.67 / Max: 232

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.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21AMD 7600Ryzen 7600Ryzen 9 7900AMD 7700Ryzen 7 770077007900Ryzen 7600 AMD9001800270036004500SE +/- 40.10, N = 63927.23966.63971.24090.74098.84131.84141.94180.61. (CXX) g++ options: -O3 -march=native -rdynamic
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21AMD 7600Ryzen 7600Ryzen 9 7900AMD 7700Ryzen 7 770077007900Ryzen 7600 AMD7001400210028003500Min: 3982.5 / Avg: 4180.62 / Max: 4234.61. (CXX) g++ options: -O3 -march=native -rdynamic

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 2.1Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900714212835SE +/- 0.05, N = 321.1021.1421.1526.1826.2026.4231.4531.481. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900714212835Min: 21.03 / Avg: 21.1 / Max: 21.21. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goRyzen 7600AMD 7600Ryzen 7600 AMD7700AMD 7700Ryzen 7 7700Ryzen 9 79007900306090120150SE +/- 0.00, N = 3133132132128127126125125
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goRyzen 7600AMD 7600Ryzen 7600 AMD7700AMD 7700Ryzen 7 7700Ryzen 9 7900790020406080100Min: 132 / Avg: 132 / Max: 132

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 4KAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079001122334455SE +/- 0.31, N = 630.0030.2131.8937.1037.2737.3947.0847.131. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4KAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079001020304050Min: 30.36 / Avg: 31.89 / Max: 32.31. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 57Ryzen 7600 AMDAMD 7600Ryzen 76007900Ryzen 9 79007700AMD 7700Ryzen 7 7700160M320M480M640M800MSE +/- 6183407.06, N = 45732975005835000005857700007394300007532500007563400007593100007595500001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 57Ryzen 7600 AMDAMD 7600Ryzen 76007900Ryzen 9 79007700AMD 7700Ryzen 7 7700130M260M390M520M650MMin: 555170000 / Avg: 573297500 / Max: 5825600001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 77007900Ryzen 9 7900AMD 77001530456075SE +/- 0.18, N = 366.163.663.062.360.660.660.460.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 77007900Ryzen 9 7900AMD 77001326395265Min: 63.3 / Avg: 63.57 / Max: 63.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsRyzen 7600AMD 7600Ryzen 7600 AMDAMD 77007700Ryzen 9 7900Ryzen 7 770079003691215SE +/- 0.03, N = 312.412.312.312.111.911.811.811.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsRyzen 7600AMD 7600Ryzen 7600 AMDAMD 77007700Ryzen 9 7900Ryzen 7 7700790048121620Min: 12.3 / Avg: 12.33 / Max: 12.4

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790060120180240300SE +/- 0.11, N = 3145.52147.27147.45192.78193.44194.49254.36255.041. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790050100150200250Min: 147.13 / Avg: 147.27 / Max: 147.51. (CXX) g++ options: -O3 -flto -pthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 7600AMD 77007700Ryzen 7 77007900Ryzen 9 79003691215SE +/- 0.03364, N = 310.128809.607809.594647.427427.417137.415055.677605.51763MIN: 9.53MIN: 9.17MIN: 9.26MIN: 6.85MIN: 6.76MIN: 6.75MIN: 4.97MIN: 4.881. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 7600AMD 77007700Ryzen 7 77007900Ryzen 9 79003691215Min: 9.55 / Avg: 9.61 / Max: 9.661. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079001.22792.45583.68374.91166.1395SE +/- 0.00921, N = 35.457285.437065.416344.399464.377364.284963.494993.49424MIN: 5.22MIN: 5.22MIN: 5.23MIN: 3.84MIN: 3.85MIN: 3.88MIN: 3.06MIN: 3.051. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900246810Min: 5.42 / Avg: 5.44 / Max: 5.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79000.2340.4680.7020.9361.17SE +/- 0.000920, N = 31.0399601.0397301.0361300.8110900.8108150.7949900.6261770.625231MIN: 1MIN: 1MIN: 1MIN: 0.74MIN: 0.74MIN: 0.73MIN: 0.56MIN: 0.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900246810Min: 1.04 / Avg: 1.04 / Max: 1.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 7700AMD 77007700Ryzen 9 790079003M6M9M12M15MSE +/- 122230.58, N = 813949188140532681417037614513008145725551457427414646827148048871. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 7700AMD 77007700Ryzen 9 790079003M6M9M12M15MMin: 13116005 / Avg: 13949188.38 / Max: 141540531. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CRyzen 7600 AMDAMD 7600Ryzen 7600AMD 7700Ryzen 7 77007700Ryzen 9 790079005K10K15K20K25KSE +/- 13.02, N = 318180.5818201.5518217.4323901.6923930.1724004.7424557.8524918.341. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CRyzen 7600 AMDAMD 7600Ryzen 7600AMD 7700Ryzen 7 77007700Ryzen 9 790079004K8K12K16K20KMin: 18165.66 / Avg: 18180.58 / Max: 18206.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

JPEG XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: AllRyzen 9 79007900AMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 770080160240320400SE +/- 0.21, N = 3201.39204.91318.81334.93336.39344.88361.28365.43
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: AllRyzen 9 79007900AMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 770070140210280350Min: 336.08 / Avg: 336.39 / Max: 336.8

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatRyzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79001326395265SE +/- 0.12, N = 359.458.858.757.256.456.156.155.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatRyzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79001224364860Min: 59.2 / Avg: 59.37 / Max: 59.6

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 24 - Buffer Length: 256 - Filter Length: 57Ryzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900200M400M600M800M1000MSE +/- 2020662.71, N = 3594580000596263333598510000772840000775660000776550000103260000010330000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 24 - Buffer Length: 256 - Filter Length: 57Ryzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900200M400M600M800M1000MMin: 592230000 / Avg: 596263333.33 / Max: 5985000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 1 - Buffer Length: 256 - Filter Length: 57AMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 7700AMD 770077007900Ryzen 9 790020M40M60M80M100MSE +/- 98206.13, N = 3999000001000100001003533331042600001043000001043500001054400001064600001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 1 - Buffer Length: 256 - Filter Length: 57AMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 7700AMD 770077007900Ryzen 9 790020M40M60M80M100MMin: 100160000 / Avg: 100353333.33 / Max: 1004800001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 4 - Buffer Length: 256 - Filter Length: 57Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700Ryzen 9 7900AMD 7700790090M180M270M360M450MSE +/- 265476.51, N = 33889800003981000004006033334012400004015400004026800004072100004110000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 4 - Buffer Length: 256 - Filter Length: 57Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700Ryzen 9 7900AMD 7700790070M140M210M280M350MMin: 400110000 / Avg: 400603333.33 / Max: 4010200001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 57Ryzen 7600AMD 7600Ryzen 7600 AMD7700AMD 7700Ryzen 7 77007900Ryzen 9 7900200M400M600M800M1000MSE +/- 86474.15, N = 3596850000597410000597473333774160000778000000786180000103360000010340000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 57Ryzen 7600AMD 7600Ryzen 7600 AMD7700AMD 7700Ryzen 7 77007900Ryzen 9 7900200M400M600M800M1000MMin: 597350000 / Avg: 597473333.33 / Max: 5976400001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900510152025SE +/- 0.02, N = 320.9920.9620.9419.5919.5619.4415.0815.071. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900510152025Min: 20.92 / Avg: 20.96 / Max: 211. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 9 7900Ryzen 7 770077007900AMD 77001224364860SE +/- 0.09, N = 355.455.255.153.353.253.253.153.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 9 7900Ryzen 7 770077007900AMD 77001122334455Min: 55 / Avg: 55.17 / Max: 55.3

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 RatingRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790030K60K90K120K150KSE +/- 90.75, N = 36823868387688458516685433868331216151225281. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790020K40K60K80K100KMin: 68668 / Avg: 68844.67 / Max: 689691. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790030K60K90K120K150KSE +/- 205.24, N = 39017890334903491109141113751125851482101482451. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingRyzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790030K60K90K120K150KMin: 89912 / Avg: 90178.33 / Max: 905821. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteRyzen 7600 AMDAMD 7600Ryzen 7600AMD 7700Ryzen 9 7900Ryzen 7 770079007700300K600K900K1200K1500KSE +/- 5632.48, N = 311432251149535115424011841351186995121801912278891233198
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteRyzen 7600 AMDAMD 7600Ryzen 7600AMD 7700Ryzen 9 7900Ryzen 7 770079007700200K400K600K800K1000KMin: 1133685 / Avg: 1143224.67 / Max: 1153183

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CRyzen 7600 AMDAMD 7600Ryzen 7600AMD 77007700Ryzen 7 7700Ryzen 9 790079003K6K9K12K15KSE +/- 33.87, N = 38739.838741.368923.129511.869535.439553.4511860.0811923.731. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CRyzen 7600 AMDAMD 7600Ryzen 7600AMD 77007700Ryzen 7 7700Ryzen 9 790079002K4K6K8K10KMin: 8683.06 / Avg: 8739.83 / Max: 8800.221. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790048121620SE +/- 0.04, N = 318.1918.1618.1214.6014.5613.9711.0311.011. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900510152025Min: 18.1 / Avg: 18.16 / Max: 18.241. (CXX) g++ options: -O2 -lOpenCL

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079000.90841.81682.72523.63364.542SE +/- 0.01473, N = 34.037514.029414.022153.253583.245323.104512.517762.50650MIN: 3.76MIN: 3.74MIN: 3.76MIN: 2.88MIN: 2.84MIN: 2.9MIN: 2.21MIN: 2.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900246810Min: 4 / Avg: 4.03 / Max: 4.051. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 77007900Ryzen 9 790048121620SE +/- 0.01, N = 315.8415.7715.6814.7114.6914.6214.1014.04
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 77007900Ryzen 9 790048121620Min: 15.75 / Avg: 15.77 / Max: 15.8

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700Ryzen 9 79007900AMD 77000.16920.33840.50760.67680.846SE +/- 0.000677, N = 30.7519350.7519070.7500020.6002440.5998880.5952110.5906330.588639MIN: 0.73MIN: 0.73MIN: 0.72MIN: 0.55MIN: 0.56MIN: 0.54MIN: 0.54MIN: 0.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPURyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700Ryzen 9 79007900AMD 7700246810Min: 0.75 / Avg: 0.75 / Max: 0.751. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079000.35630.71261.06891.42521.7815SE +/- 0.00075, N = 31.583601.580541.574921.272451.272091.234961.144431.14326MIN: 1.52MIN: 1.49MIN: 1.5MIN: 1.16MIN: 1.16MIN: 1.13MIN: 1.01MIN: 1.051. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUAMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900246810Min: 1.58 / Avg: 1.58 / Max: 1.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79001326395265SE +/- 0.10, N = 337.1837.2437.2845.4745.5445.9156.2956.401. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 79001122334455Min: 37.09 / Avg: 37.28 / Max: 37.381. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79003691215SE +/- 0.02, N = 310.2310.3010.3012.1012.1112.1313.4613.491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790048121620Min: 10.26 / Avg: 10.3 / Max: 10.331. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500MAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790048121620SE +/- 0.01, N = 315.0815.0515.0412.7712.7212.6810.8710.85
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500MAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790048121620Min: 15.03 / Avg: 15.05 / Max: 15.08

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 7700Ryzen 9 79007700AMD 77007900140280420560700SE +/- 2.40, N = 3626615613606602601598592
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 7700Ryzen 9 79007700AMD 77007900110220330440550Min: 621 / Avg: 625.67 / Max: 629

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12Ryzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790048121620SE +/- 0.00, N = 316.7216.7116.6913.2013.1713.0810.0710.061. (CXX) g++ options: -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12Ryzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790048121620Min: 16.71 / Avg: 16.71 / Max: 16.721. (CXX) g++ options: -O3

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC audio format ten times using the --best preset settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACRyzen 7600Ryzen 7600 AMDAMD 76007700AMD 7700Ryzen 7 77007900Ryzen 9 79003691215SE +/- 0.00, N = 512.1012.1012.1011.6911.6711.6711.6511.571. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACRyzen 7600Ryzen 7600 AMDAMD 76007700AMD 7700Ryzen 7 77007900Ryzen 9 790048121620Min: 12.09 / Avg: 12.1 / Max: 12.111. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansRyzen 9 79007900Ryzen 7600 AMDRyzen 7600Ryzen 7 7700AMD 77007700AMD 7600400800120016002000SE +/- 19.03, N = 2016761655146114241407140313711359
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansRyzen 9 79007900Ryzen 7600 AMDRyzen 7600Ryzen 7 7700AMD 77007700AMD 760030060090012001500Min: 1377 / Avg: 1460.8 / Max: 1699

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 2.1Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079001224364860SE +/- 0.11, N = 337.9638.0438.1746.8446.8947.0154.6054.711. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079001122334455Min: 38.05 / Avg: 38.17 / Max: 38.391. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Ryzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700Ryzen 9 79007900AMD 77004080120160200SE +/- 0.23, N = 3199.19199.06198.87193.77190.92190.75190.74190.37MIN: 198.58 / MAX: 200.1MIN: 198.12 / MAX: 200.3MIN: 198.22 / MAX: 199.53MIN: 192.93 / MAX: 195.31MIN: 190.03 / MAX: 193.11MIN: 190.01 / MAX: 191.51MIN: 189.99 / MAX: 192.23MIN: 189.7 / MAX: 193.981. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Ryzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700Ryzen 9 79007900AMD 77004080120160200Min: 198.72 / Avg: 199.06 / Max: 199.491. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Ryzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079004080120160200SE +/- 0.02, N = 3191.09191.09191.08184.21184.08183.89182.77180.38MIN: 190.97 / MAX: 191.36MIN: 191.02 / MAX: 191.19MIN: 191 / MAX: 191.26MIN: 184.13 / MAX: 184.34MIN: 183.99 / MAX: 184.18MIN: 183.77 / MAX: 184.05MIN: 182.69 / MAX: 182.89MIN: 180.33 / MAX: 180.521. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Ryzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079004080120160200Min: 191.05 / Avg: 191.09 / Max: 191.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

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 4KRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079001632486480SE +/- 0.03, N = 343.5643.7344.4954.6254.6854.8469.9170.471. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079001428425670Min: 44.43 / Avg: 44.49 / Max: 44.551. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079004812162016.9816.8816.8015.1815.1814.9413.5813.46

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 79000.12390.24780.37170.49560.6195SE +/- 0.000941, N = 30.5507240.5503330.5488220.4368590.4355140.4150220.3131160.312826MIN: 0.53MIN: 0.52MIN: 0.52MIN: 0.38MIN: 0.39MIN: 0.39MIN: 0.28MIN: 0.281. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 7900246810Min: 0.55 / Avg: 0.55 / Max: 0.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 790079000.37180.74361.11541.48721.859SE +/- 0.001514, N = 31.6525701.6416701.6354301.5564901.5344101.4534900.6656360.664113MIN: 1.62MIN: 1.62MIN: 1.61MIN: 1.41MIN: 1.41MIN: 1.41MIN: 0.59MIN: 0.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 79007900246810Min: 1.63 / Avg: 1.64 / Max: 1.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079000.07080.14160.21240.28320.354SE +/- 0.001519, N = 30.3147640.3131290.3122500.2517770.2504830.2410040.1894510.188795MIN: 0.3MIN: 0.29MIN: 0.29MIN: 0.22MIN: 0.22MIN: 0.22MIN: 0.17MIN: 0.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 7900790012345Min: 0.31 / Avg: 0.31 / Max: 0.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 1.10.0Speed: Speed 5 - Input: Bosphorus 1080pRyzen 9 79007900Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 770077001224364860SE +/- 0.09, N = 346.8346.8852.0352.0452.6853.3854.4354.491. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 1080pRyzen 9 79007900Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 770077001122334455Min: 52.51 / Avg: 52.68 / Max: 52.81. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

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 2.1Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079001428425670SE +/- 0.06, N = 344.6544.6844.6858.5658.7658.8663.1663.171. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: MediumRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079001224364860Min: 44.57 / Avg: 44.68 / Max: 44.791. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 770079007700Ryzen 9 79000.49730.99461.49191.98922.4865SE +/- 0.00, N = 32.052.082.092.172.182.192.212.211. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 7700AMD 770079007700Ryzen 9 7900246810Min: 2.09 / Avg: 2.09 / Max: 2.11. (CC) gcc options: -fvisibility=hidden -O2 -lm

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster7700Ryzen 7 7700Ryzen 7600AMD 7600Ryzen 7600 AMDAMD 77007900Ryzen 9 79003691215SE +/- 0.011, N = 312.12712.11412.06911.97911.96111.5788.4308.2981. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster7700Ryzen 7 7700Ryzen 7600AMD 7600Ryzen 7600 AMDAMD 77007900Ryzen 9 790048121620Min: 11.94 / Avg: 11.96 / Max: 11.981. (CXX) g++ options: -O2 -lOpenCL

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Ryzen 7 7700Ryzen 7600AMD 7700Ryzen 7600 AMD7700Ryzen 9 79007900AMD 7600400800120016002000SE +/- 32.56, N = 2019421881187718711828179117481700
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Ryzen 7 7700Ryzen 7600AMD 7700Ryzen 7600 AMD7700Ryzen 9 79007900AMD 760030060090012001500Min: 1603 / Avg: 1870.55 / Max: 2125

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-maskRyzen 9 79007900AMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 77003691215SE +/- 0.02, N = 312.6312.3810.8010.8010.7410.6710.5410.31
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: unsharp-maskRyzen 9 79007900AMD 7600Ryzen 7600 AMDRyzen 76007700Ryzen 7 7700AMD 770048121620Min: 10.76 / Avg: 10.8 / Max: 10.83

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.27700Ryzen 7 7700AMD 7700AMD 7600Ryzen 7600Ryzen 7600 AMD7900Ryzen 9 790090M180M270M360M450MSE +/- 42003.58, N = 33857551003859116003915619003919451003925822003926537334336033004356400001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.27700Ryzen 7 7700AMD 7700AMD 7600Ryzen 7600Ryzen 7600 AMD7900Ryzen 9 790080M160M240M320M400MMin: 392572800 / Avg: 392653733.33 / Max: 3927137001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

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: resizeRyzen 9 79007900AMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77003691215SE +/- 0.062, N = 313.60213.30610.42110.41710.30610.18310.0339.866
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: resizeRyzen 9 79007900AMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 770048121620Min: 10.22 / Avg: 10.31 / Max: 10.43

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790020406080100SE +/- 0.26, N = 351.1151.1551.6867.5267.5567.6989.2989.451. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790020406080100Min: 51.17 / Avg: 51.68 / Max: 52.051. (CXX) g++ options: -O3 -flto -pthread

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 4KAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 7900790020406080100SE +/- 0.02, N = 353.2653.3553.5264.3864.4664.5284.9085.601. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079001632486480Min: 53.49 / Avg: 53.52 / Max: 53.561. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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-levelsRyzen 9 79007900Ryzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 77003691215SE +/- 0.012, N = 310.27910.1509.8099.8019.7799.5229.4889.247
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: auto-levelsRyzen 9 79007900Ryzen 7600 AMDAMD 7600Ryzen 76007700Ryzen 7 7700AMD 77003691215Min: 9.79 / Avg: 9.81 / Max: 9.82

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: rotateRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 9 79007700Ryzen 7 77007900AMD 77003691215SE +/- 0.015, N = 39.5099.5059.4469.4069.2979.1829.1828.971
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: rotateRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 9 79007700Ryzen 7 77007900AMD 77003691215Min: 9.49 / Avg: 9.51 / Max: 9.54

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079001.04232.08463.12694.16925.2115SE +/- 0.00604, N = 34.632344.481294.475344.326454.319024.174003.179853.17749MIN: 4.54MIN: 4.4MIN: 4.38MIN: 4.15MIN: 4.14MIN: 4.14MIN: 3.13MIN: 3.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900246810Min: 4.47 / Avg: 4.48 / Max: 4.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079000.59951.1991.79852.3982.9975SE +/- 0.02309, N = 32.664522.577692.573052.502292.452222.334991.544031.54207MIN: 2.47MIN: 2.49MIN: 2.51MIN: 2.29MIN: 2.28MIN: 2.28MIN: 1.48MIN: 1.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900246810Min: 2.55 / Avg: 2.58 / Max: 2.621. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 79000.23020.46040.69060.92081.151SE +/- 0.008119, N = 31.0230501.0158001.0103900.9622850.9517690.9169360.3885820.359992MIN: 0.95MIN: 0.95MIN: 0.95MIN: 0.85MIN: 0.84MIN: 0.86MIN: 0.36MIN: 0.331. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 77007900Ryzen 9 7900246810Min: 1.01 / Avg: 1.02 / Max: 1.031. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 4KAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790020406080100SE +/- 0.87, N = 363.0063.8465.5571.9972.2572.6390.7993.601. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KAMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790020406080100Min: 63.83 / Avg: 65.55 / Max: 66.581. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 0.11Encoder Speed: 6, LosslessAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79003691215SE +/- 0.014, N = 39.9579.9029.8608.1748.1718.0506.8266.7651. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79003691215Min: 9.88 / Avg: 9.9 / Max: 9.921. (CXX) g++ options: -O3 -fPIC -lm

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 4KRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790020406080100SE +/- 0.03, N = 368.2368.5569.1877.3078.2980.1599.80100.141. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790020406080100Min: 69.13 / Avg: 69.18 / Max: 69.231. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 7700AMD 77007700Ryzen 9 790079005001000150020002500SE +/- 13.02, N = 51143.011173.771192.541514.071561.401588.732150.582155.921. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 7700AMD 77007700Ryzen 9 79007900400800120016002000Min: 1141.85 / Avg: 1173.77 / Max: 1200.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 79005K10K15K20K25KSE +/- 5.90, N = 321352.0121396.5921442.6723843.5123860.3124079.9925610.9625644.031. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CAMD 7600Ryzen 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 79004K8K12K16K20KMin: 21435.91 / Avg: 21442.67 / Max: 21454.421. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.2

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Ryzen 7600 AMDAMD 7600Ryzen 7600Ryzen 9 79007700AMD 7700Ryzen 7 770079001122334455SE +/- 0.35, N = 1547.6543.9243.9242.3742.3342.3342.0641.52MIN: 43.99 / MAX: 49.87MIN: 43.9 / MAX: 44MIN: 43.87 / MAX: 44.14MIN: 42.26 / MAX: 42.44MIN: 42.27 / MAX: 42.4MIN: 42.3 / MAX: 42.43MIN: 41.98 / MAX: 42.14MIN: 41.17 / MAX: 42.011. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Ryzen 7600 AMDAMD 7600Ryzen 7600Ryzen 9 79007700AMD 7700Ryzen 7 770079001020304050Min: 44.17 / Avg: 47.65 / Max: 49.671. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

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 1080pRyzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790020406080100SE +/- 0.55, N = 382.5782.6183.8287.5687.6088.86102.84103.731. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pRyzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790020406080100Min: 81.52 / Avg: 82.57 / Max: 83.371. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapRyzen 7600 AMDRyzen 7600AMD 7600AMD 770077007900Ryzen 9 79005001000150020002500SE +/- 19.27, N = 42242220121542128201519361880
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapRyzen 7600 AMDRyzen 7600AMD 7600AMD 770077007900Ryzen 9 7900400800120016002000Min: 2185 / Avg: 2241.5 / Max: 2270

Java Test: Tradesoap

Ryzen 7 7700: The test quit with a non-zero exit status.

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 4KRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900306090120150SE +/- 0.10, N = 389.2689.6589.96109.97110.11110.60134.80134.921. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900306090120150Min: 89.45 / Avg: 89.65 / Max: 89.791. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU7700Ryzen 7 7700Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 77007900Ryzen 9 7900246810SE +/- 0.00408, N = 37.647637.639937.398687.380147.376997.307685.726415.70365MIN: 7.23MIN: 7.21MIN: 7.3MIN: 7.29MIN: 7.29MIN: 7.2MIN: 5.61MIN: 5.581. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU7700Ryzen 7 7700Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 77007900Ryzen 9 79003691215Min: 7.37 / Avg: 7.38 / Max: 7.391. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU7700Ryzen 7 7700Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7600Ryzen 9 79007900246810SE +/- 0.03190, N = 37.346687.331747.111217.095157.080487.062695.226745.21572MIN: 7MIN: 6.99MIN: 7MIN: 7MIN: 6.98MIN: 6.99MIN: 5.15MIN: 5.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU7700Ryzen 7 7700Ryzen 7600 AMDAMD 7600AMD 7700Ryzen 7600Ryzen 9 790079003691215Min: 7.08 / Avg: 7.11 / Max: 7.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU7700Ryzen 7 7700Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 77007900Ryzen 9 79000.75941.51882.27823.03763.797SE +/- 0.01337, N = 33.375233.363633.272543.265703.263863.182291.990781.84748MIN: 3.09MIN: 3.08MIN: 3.2MIN: 3.2MIN: 3.2MIN: 3.09MIN: 1.8MIN: 1.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU7700Ryzen 7 7700Ryzen 7600Ryzen 7600 AMDAMD 7600AMD 77007900Ryzen 9 7900246810Min: 3.25 / Avg: 3.27 / Max: 3.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 2.1Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 79007900306090120150SE +/- 0.03, N = 391.1891.2291.30111.46111.56111.63118.71118.781. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 7900790020406080100Min: 91.24 / Avg: 91.3 / Max: 91.361. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -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 0.11Encoder Speed: 6AMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 79007900246810SE +/- 0.014, N = 36.7006.6596.6535.3845.3235.2884.2994.2401. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6AMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215Min: 6.64 / Avg: 6.66 / Max: 6.681. (CXX) g++ options: -O3 -fPIC -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 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079004080120160200SE +/- 0.38, N = 3105.84106.01106.89129.24129.25129.95158.21158.661. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 79007900306090120150Min: 106.44 / Avg: 106.89 / Max: 107.641. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 9 79007700Ryzen 7 77007900AMD 77001.12192.24383.36574.48765.6095SE +/- 0.003, N = 34.9864.9784.9784.8094.8064.8034.7954.7921. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 7600AMD 7600Ryzen 7600 AMDRyzen 9 79007700Ryzen 7 77007900AMD 7700246810Min: 4.97 / Avg: 4.98 / Max: 4.981. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -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 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79004080120160200SE +/- 0.28, N = 3127.22127.83128.58149.54150.39152.05181.98183.701. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900306090120150Min: 127.28 / Avg: 127.83 / Max: 128.21. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionRyzen 7600 AMDAMD 7600Ryzen 7600AMD 77007700Ryzen 7 77007900Ryzen 9 79001.19252.3853.57754.775.9625SE +/- 0.00, N = 35.005.015.015.195.205.205.305.301. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionRyzen 7600 AMDAMD 7600Ryzen 7600AMD 77007700Ryzen 7 77007900Ryzen 9 7900246810Min: 5 / Avg: 5 / Max: 5.011. (CC) gcc options: -fvisibility=hidden -O2 -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Boat - Acceleration: CPU-onlyRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079001.03162.06323.09484.12645.158SE +/- 0.018, N = 34.5854.5574.5263.7853.7423.6673.0563.028
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Boat - Acceleration: CPU-onlyRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 79007900246810Min: 4.49 / Avg: 4.53 / Max: 4.55

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: CPU-onlyRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 790079000.96441.92882.89323.85764.822SE +/- 0.013, N = 34.2864.2324.2203.6903.6523.5843.1743.071
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: CPU-onlyRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 79007900246810Min: 4.2 / Avg: 4.22 / Max: 4.24

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 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79004080120160200SE +/- 0.38, N = 3136.23136.43136.85161.95162.38162.39189.15190.961. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KRyzen 7600 AMDRyzen 7600AMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79004080120160200Min: 135.48 / Avg: 136.23 / Max: 136.741. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 1080pRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790050100150200250SE +/- 0.12, N = 3137.00137.14137.30172.71172.81174.52217.47218.501. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79004080120160200Min: 136.86 / Avg: 137 / Max: 137.241. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -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 0.11Encoder Speed: 10, LosslessAMD 7600Ryzen 7600Ryzen 7600 AMDAMD 7700Ryzen 7 77007700Ryzen 9 790079000.97921.95842.93763.91684.896SE +/- 0.019, N = 34.3524.3414.3253.8973.8803.8723.6213.5011. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessAMD 7600Ryzen 7600Ryzen 7600 AMDAMD 7700Ryzen 7 77007700Ryzen 9 79007900246810Min: 4.3 / Avg: 4.32 / Max: 4.361. (CXX) g++ options: -O3 -fPIC -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: CPU-onlyRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 79000.73891.47782.21672.95563.6945SE +/- 0.036, N = 33.2843.2503.2432.9022.8942.8312.5762.539
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: CPU-onlyRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 7900246810Min: 3.2 / Avg: 3.24 / Max: 3.32

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 1080pRyzen 7600AMD 7600Ryzen 7600 AMDAMD 77007700Ryzen 7 77007900Ryzen 9 790050100150200250SE +/- 1.62, N = 3134.66134.80136.26166.27167.51168.28204.59208.221. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pRyzen 7600AMD 7600Ryzen 7600 AMDAMD 77007700Ryzen 7 77007900Ryzen 9 79004080120160200Min: 133.02 / Avg: 136.26 / Max: 137.941. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonAMD 7700AMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700Ryzen 9 790079005001000150020002500SE +/- 11.02, N = 425402540253825382459236023482294
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonAMD 7700AMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700Ryzen 9 79007900400800120016002000Min: 2512 / Avg: 2537.75 / Max: 2565

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 2.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 7900790050100150200250SE +/- 0.22, N = 3160.21160.28160.45201.63201.88202.80215.98216.491. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 790079004080120160200Min: 159.96 / Avg: 160.28 / Max: 160.71. (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: Visual Quality Optimized - Input: Bosphorus 1080pRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790060120180240300SE +/- 0.32, N = 3180.45181.12181.36206.90207.45209.43293.13294.301. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 77007900Ryzen 9 790050100150200250Min: 180.98 / Avg: 181.36 / Max: 1821. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 9 7900Ryzen 7 77007700AMD 770079001.20312.40623.60934.81246.0155SE +/- 0.00039, N = 35.347075.340625.335783.970483.918163.909233.890953.42107MIN: 5.3MIN: 5.3MIN: 5.3MIN: 3.34MIN: 3.63MIN: 3.68MIN: 3.71MIN: 3.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPURyzen 7600 AMDRyzen 7600AMD 7600Ryzen 9 7900Ryzen 7 77007700AMD 77007900246810Min: 5.35 / Avg: 5.35 / Max: 5.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79000.74451.4892.23352.9783.7225SE +/- 0.00750, N = 33.309033.305143.303422.507182.502322.462752.260912.16726MIN: 3.15MIN: 3.14MIN: 3.14MIN: 2.33MIN: 2.34MIN: 2.26MIN: 2.08MIN: 2.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPURyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900246810Min: 3.29 / Avg: 3.31 / Max: 3.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79000.30620.61240.91861.22481.531SE +/- 0.005136, N = 31.3607801.3554801.3531001.0027000.9993600.9897940.8818270.880093MIN: 1.3MIN: 1.29MIN: 1.3MIN: 0.89MIN: 0.89MIN: 0.88MIN: 0.8MIN: 0.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAMD 7600Ryzen 7600 AMDRyzen 7600Ryzen 7 77007700AMD 77007900Ryzen 9 7900246810Min: 1.35 / Avg: 1.36 / Max: 1.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215SE +/- 0.023, N = 36.7116.7316.7578.5478.5608.59211.21111.3941. (CXX) g++ options: -O3 -lm -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinRyzen 7600 AMDAMD 7600Ryzen 7600Ryzen 7 77007700AMD 7700Ryzen 9 790079003691215Min: 6.67 / Avg: 6.71 / Max: 6.751. (CXX) g++ options: -O3 -lm -ldl

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 1080pRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 7900790070140210280350SE +/- 2.29, N = 3215.01215.04220.17243.98244.06246.55334.75335.221. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 7900790060120180240300Min: 215.63 / Avg: 220.17 / Max: 222.931. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 7900790080160240320400SE +/- 0.15, N = 3222.08226.78227.72252.79254.60261.80344.81345.401. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pRyzen 7600AMD 7600Ryzen 7600 AMDRyzen 7 77007700AMD 7700Ryzen 9 7900790060120180240300Min: 227.42 / Avg: 227.72 / Max: 227.891. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -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 1080pRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 79007900100200300400500SE +/- 1.08, N = 3286.26286.81286.86359.07360.58362.54437.96439.561. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pRyzen 7600AMD 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 7700Ryzen 9 7900790080160240320400Min: 285.71 / Avg: 286.86 / Max: 289.021. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100AMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790048121620SE +/- 0.01, N = 316.1216.1216.1316.7416.7816.7916.8117.031. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100AMD 7600Ryzen 7600Ryzen 7600 AMD7700Ryzen 7 7700AMD 77007900Ryzen 9 790048121620Min: 16.12 / Avg: 16.13 / Max: 16.141. (CC) gcc options: -fvisibility=hidden -O2 -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 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900150300450600750SE +/- 2.69, N = 3522.04524.24528.45609.82615.79616.10649.49687.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pRyzen 7600Ryzen 7600 AMDAMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900120240360480600Min: 519.72 / Avg: 524.24 / Max: 529.021. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pRyzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900160320480640800SE +/- 0.75, N = 3578.51579.19580.00668.09670.53677.96728.99739.511. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pRyzen 7600 AMDRyzen 7600AMD 76007700Ryzen 7 7700AMD 7700Ryzen 9 79007900130260390520650Min: 577.42 / Avg: 578.51 / Max: 579.951. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultRyzen 9 7900Ryzen 7600 AMDAMD 7600Ryzen 76007700AMD 7700Ryzen 7 77007900612182430SE +/- 0.03, N = 324.0025.8325.9525.9726.9426.9426.9427.241. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultRyzen 9 7900Ryzen 7600 AMDAMD 7600Ryzen 76007700AMD 7700Ryzen 7 77007900612182430Min: 25.78 / Avg: 25.83 / Max: 25.861. (CC) gcc options: -fvisibility=hidden -O2 -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: CPU-onlyRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 79000.04010.08020.12030.16040.2005SE +/- 0.001, N = 30.1780.1770.1760.1580.1560.1480.1350.126
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: CPU-onlyRyzen 7600Ryzen 7600 AMDAMD 7600Ryzen 7 77007700AMD 77007900Ryzen 9 790012345Min: 0.18 / Avg: 0.18 / Max: 0.18

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

Java Test: Eclipse

7700: The test quit with a non-zero exit status.

7900: The test quit with a non-zero exit status.

Ryzen 7600 AMD: The test quit with a non-zero exit status.

AMD 7600: The test quit with a non-zero exit status.

AMD 7700: The test quit with a non-zero exit status.

Ryzen 7 7700: The test quit with a non-zero exit status.

Ryzen 7600: The test quit with a non-zero exit status.

Ryzen 9 7900: The test quit with a non-zero exit status.

325 Results Shown

Timed Linux Kernel Compilation
Blender
LeelaChessZero
GNU Radio:
  Hilbert Transform
  FM Deemphasis Filter
  IIR Filter
  FIR Filter
  Signal Source (Cosine)
  Five Back to Back FIR Filters
Timed LLVM Compilation:
  Unix Makefiles
  Ninja
nekRS
Appleseed
Blender
JPEG XL libjxl
LeelaChessZero
Blender
Appleseed:
  Disney Material
  Material Tester
JPEG XL libjxl
ONNX Runtime:
  fcn-resnet101-11 - CPU - Standard
  GPT-2 - CPU - Standard
  ArcFace ResNet-100 - CPU - Standard
  bertsquad-12 - CPU - Standard
  yolov4 - CPU - Standard
SVT-HEVC
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
GPAW
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  SqueezeNetV1.0
  resnet-v2-50
  squeezenetv1.1
  mobilenetV3
  nasnet
Rodinia
OpenSSL
Primesieve
NAS Parallel Benchmarks
Timed CPython Compilation
TNN
Blender
Xmrig
NAS Parallel Benchmarks
Tachyon
GROMACS
libavif avifenc
ONNX Runtime:
  fcn-resnet101-11 - CPU - Parallel
  GPT-2 - CPU - Parallel
  yolov4 - CPU - Parallel
  bertsquad-12 - CPU - Parallel
  ArcFace ResNet-100 - CPU - Parallel
  super-resolution-10 - CPU - Parallel
  super-resolution-10 - CPU - Standard
Stockfish
Blender
asmFish
Xmrig
JPEG XL libjxl:
  JPEG - 80
  PNG - 80
NAS Parallel Benchmarks
Build2
Timed Godot Game Engine Compilation
Stargate Digital Audio Workstation
simdjson
Stargate Digital Audio Workstation
JPEG XL libjxl
NAMD
Timed Linux Kernel Compilation
JPEG XL libjxl
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
Ngspice
simdjson
Rodinia
oneDNN:
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
Ngspice
PyPerformance
Chaos Group V-RAY
VP9 libvpx Encoding
NCNN:
  CPU - FastestDet
  CPU - vision_transformer
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
OpenVINO:
  Person Detection FP32 - CPU:
    ms
    FPS
  Person Detection FP16 - CPU:
    ms
    FPS
ASTC Encoder
simdjson:
  DistinctUserID
  TopTweet
Stargate Digital Audio Workstation
OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS
simdjson
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
IndigoBench:
  CPU - Bedroom
  CPU - Supercar
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
Stargate Digital Audio Workstation
OpenVINO:
  Vehicle Detection FP16 - CPU:
    ms
    FPS
libavif avifenc
OpenVINO:
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
Cpuminer-Opt
OpenSSL:
  RSA4096:
    verify/s
    sign/s
Rodinia
Kvazaar
NAS Parallel Benchmarks
SVT-HEVC
C-Ray
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Timed PHP Compilation
Neural Magic DeepSparse:
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
SVT-AV1
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Timed GDB GNU Debugger Compilation
Timed Wasmer Compilation
Stargate Digital Audio Workstation
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
Stargate Digital Audio Workstation:
  44100 - 512
  480000 - 1024
NAS Parallel Benchmarks
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Stargate Digital Audio Workstation
PyPerformance
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Timed FFmpeg Compilation
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
Timed Mesa Compilation
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    ms/batch
    items/sec
JPEG XL Decoding libjxl
Neural Magic DeepSparse:
  CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    ms/batch
    items/sec
Zstd Compression:
  8 - Decompression Speed
  8 - Compression Speed
  3 - Decompression Speed
  3 - Compression Speed
  3, Long Mode - Decompression Speed
  3, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
ASTC Encoder
Coremark
Git
VP9 libvpx Encoding
x265
Y-Cruncher
PyPerformance:
  2to3
  django_template
  pathlib
Timed MPlayer Compilation
Aircrack-ng
Cpuminer-Opt:
  Quad SHA-256, Pyrite
  Garlicoin
  Blake-2 S
  scrypt
  Magi
  Myriad-Groestl
  Ringcoin
  LBC, LBRY Credits
  Deepcoin
  Skeincoin
  x25x
PyPerformance
WebP Image Encode
Liquid-DSP
PyPerformance
NAS Parallel Benchmarks
VP9 libvpx Encoding
PyPerformance
QuantLib
Kvazaar
PyPerformance
x264
Liquid-DSP
PyPerformance:
  crypto_pyaes
  json_loads
ASTC Encoder
oneDNN:
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
Crafty
NAS Parallel Benchmarks
JPEG XL Decoding libjxl
PyPerformance
Liquid-DSP:
  24 - 256 - 57
  1 - 256 - 57
  4 - 256 - 57
  16 - 256 - 57
Xcompact3d Incompact3d
PyPerformance
7-Zip Compression:
  Decompression Rating
  Compression Rating
PHPBench
NAS Parallel Benchmarks
Rodinia
oneDNN
Timed Apache Compilation
oneDNN:
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
SVT-AV1:
  Preset 8 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
Y-Cruncher
PyBench
Primesieve
FLAC Audio Encoding
DaCapo Benchmark
Kvazaar
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
SVT-HEVC
Timed CPython Compilation
oneDNN:
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
VP9 libvpx Encoding
Kvazaar
WebP Image Encode
Rodinia
DaCapo Benchmark
GIMP
Algebraic Multi-Grid Benchmark
GIMP
ASTC Encoder
SVT-VP9
GIMP:
  auto-levels
  rotate
oneDNN:
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  IP Shapes 3D - u8s8f32 - CPU
SVT-VP9
libavif avifenc
SVT-VP9
NAS Parallel Benchmarks:
  EP.C
  MG.C
TNN
x265
DaCapo Benchmark
SVT-HEVC
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
Kvazaar
libavif avifenc
SVT-AV1
LAME MP3 Encoding
SVT-AV1
WebP Image Encode
Darktable:
  Boat - CPU-only
  Masskrug - CPU-only
SVT-AV1
SVT-HEVC
libavif avifenc
Darktable
x264
DaCapo Benchmark
Kvazaar
SVT-VP9
oneDNN:
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
LAMMPS Molecular Dynamics Simulator
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
SVT-HEVC
WebP Image Encode
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
WebP Image Encode
Darktable