AMD Ryzen 9 7950X3D Modes On Linux

Ryzen 9 7950X3D benchmarks for a future article by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302261-NE-7950X3DMO02
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AMD Ryzen 9 7950X3D Modes On LinuxOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7950X3D 16-Core @ 5.76GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (9922 BIOS)AMD Device 14d832GBWestern Digital WD_BLACK SN850X 1000GB + 2000GBAMD Radeon RX 7900 XTX 24GB (2304/1249MHz)AMD Device ab30ASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 23.046.2.0-060200rc8daily20230213-generic (x86_64)GNOME Shell 43.2X Server 1.21.1.64.6 Mesa 23.1.0-devel (git-efcb639 2023-02-13 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49)GCC 12.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionAMD Ryzen 9 7950X3D Modes On Linux BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 - NONE / errors=remount-ro,relatime,rw / Block Size: 4096- Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203- OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)- Python 3.11.1- 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

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AMD Ryzen 9 7950X3D Modes On Linuxcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingmt-dgemm: Sustained Floating-Point Rateamg: aom-av1: Speed 10 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 0 Two-Pass - Bosphorus 4Kappleseed: Emilyappleseed: Disney Materialappleseed: Material Testeraskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: Hogbom Clean OpenMPastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustiveblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlybrl-cad: VGR Performance Metricbuild2: Time To Compilev-ray: CPUclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runcpuminer-opt: scryptcpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Myriad-Groestlcpuminer-opt: Magicpuminer-opt: x25xcpuminer-opt: Garlicoincpuminer-opt: Ringcoincpuminer-opt: Deepcoincpuminer-opt: Skeincoincpuminer-opt: LBC, LBRY Creditscrafty: Elapsed Timedacapobench: H2dacapobench: Jythondarktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Server Room - CPU-onlydarktable: Server Rack - CPU-onlydav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitdeepspeech: CPUdolfyn: Computational Fluid Dynamicsembree: Pathtracer - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crowngcrypt: gegl: Rotate 90 Degreesgegl: Scalegegl: Antialiasgegl: Cartoongegl: Color Enhancegegl: Cropgegl: Wavelet Blurgegl: Reflectgegl: Tile Glassgimp: unsharp-maskgimp: resizegimp: rotategimp: auto-levelsoctave-benchmark: gnuradio: Five Back to Back FIR Filtersgnuradio: Signal Source (Cosine)gnuradio: FIR Filtergnuradio: IIR Filtergnuradio: FM Deemphasis Filtergnuradio: Hilbert Transformdraco: Church Facadedraco: Liongpaw: Carbon Nanotubegraphics-magick: HWB Color Spacegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Swirlgromacs: MPI CPU - water_GMX50_barehpcg: himeno: Poisson Pressure Solverindigobench: CPU - Supercarindigobench: CPU - Bedroomtoktx: Zstd Compression 19toktx: UASTC 3toktx: UASTC 3 + Zstd Compression 19toktx: UASTC 4 + Zstd Compression 19kvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastencode-mp3: WAV To MP3lammps: Rhodopsin Proteinlammps: 20k Atomslczero: BLASlczero: Eigenavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslesstjbench: Decompression Throughputliquid-dsp: 8 - 256 - 57liquid-dsp: 16 - 256 - 57liquid-dsp: 32 - 256 - 57luaradio: Five Back to Back FIR Filtersluaradio: FM Deemphasis Filterluaradio: Hilbert Transformluaradio: Complex Phaselulesh: luxcorerender: DLSC - CPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUluxcorerender: Danish Mood - CPUcompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedm-queens: Time To Solven-queens: Elapsed Timenamd: ATPase Simulation - 327,506 Atomsnatron: Spaceshipncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetncnn: CPU - mnasnetnode-express-loadtest: node-web-tooling: numenta-nab: Bayesian Changepointnumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: Earthgecko Skylinenumenta-nab: KNN CADnumenta-nab: Contextual Anomaly Detector OSEnumpy: onednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardopenems: pyEMS Coupleropenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face 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 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvkl: vklBenchmark Scalaropenvkl: vklBenchmark ISPCospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timeospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerpennant: leblancbigpennant: sedovbigphpbench: PHP Benchmark Suiteprimesieve: 1e12primesieve: 1e13pybench: Total For Average Test Timespyhpc: CPU - Numpy - 1048576 - Equation of Statepyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingpyhpc: CPU - Numpy - 4194304 - Equation of Statepyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingquantlib: radiance: Serialradiance: SMP Parallelrav1e: 10rav1e: 6rav1e: 5rav1e: 1rawtherapee: Total Benchmark Timerenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Savina Reactors.IOrenaissance: Apache Spark ALSrenaissance: Rand Forestrenaissance: Apache Spark Bayesrenaissance: Apache Spark PageRankrenaissance: Scala Dottyrenaissance: Finagle HTTP Requestsrenaissance: Genetic Algorithm Using Jenetics + Futuresrenaissance: ALS Movie Lensrnnoise: rocksdb: Seq Fillrocksdb: Rand Fillrocksdb: Rand Fill Syncrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randselenium: ARES-6 - Google Chromeselenium: Speedometer - Google Chromeselenium: Octane - Google Chromeselenium: Jetstream 2 - Google Chromeselenium: Maze Solver - Google Chromeselenium: PSPDFKit WASM - Google Chromeselenium: WASM collisionDetection - Google Chromeselenium: WASM imageConvolute - Google Chromeselenium: Kraken - Google Chromesimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetsqlite-speedtest: Timed Time - Size 1,000srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: OFDM_Teststargate: 44100 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 480000 - 1024stargate: 96000 - 512stargate: 96000 - 1024stargate: 192000 - 512stargate: 192000 - 1024stress-ng: CPU Stressstress-ng: Cryptostress-ng: Memory Copyingstress-ng: Glibc Qsort Data Sortingstress-ng: Glibc C String Functionsstress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: Forkingstress-ng: System V Message Passingstress-ng: Semaphoresstress-ng: Socket Activitystress-ng: Atomicstress-ng: CPU Cachestress-ng: Mallocstress-ng: MEMFDstress-ng: MMAPstress-ng: NUMAstress-ng: SENDFILEstress-ng: IO_uringstress-ng: Futexstress-ng: Mutexsvt-av1: Preset 13 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Ksvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 4Ksysbench: CPUsysbench: RAM / Memorytachyon: Total Timetensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception V4build-ffmpeg: Time To Compilebuild-godot: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-mesa: Time To Compilebuild-mplayer: Time To Compilemrbayes: Primate Phylogeny Analysistnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2unpack-firefox: firefox-84.0.source.tar.xzunpack-linux: linux-5.19.tar.xzvpxenc: Speed 5 - Bosphorus 1080pvpxenc: Speed 5 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 1080pvpxenc: Speed 0 - Bosphorus 4Kwebp: Defaultwebp: Quality 100webp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Quality 100, Lossless, Highest Compressionwireguard: x264: Bosphorus 1080px264: Bosphorus 4Kx265: Bosphorus 1080px265: Bosphorus 4Kincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionxmrig: Monero - 1Mxmrig: Wownero - 1Mcompress-zstd: 3 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 12 - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression SpeedAutoPrefer CachePrefer 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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: Compression RatingAutoPrefer CachePrefer Freq40K80K120K160K200KSE +/- 177.38, N = 3SE +/- 298.57, N = 3SE +/- 439.96, N = 31896711898711906591. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingPrefer CacheAutoPrefer Freq40K80K120K160K200KSE +/- 304.82, N = 3SE +/- 73.05, N = 3SE +/- 194.35, N = 31763981766161770241. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RatePrefer CacheAutoPrefer Freq3691215SE +/- 0.13, N = 4SE +/- 0.10, N = 7SE +/- 0.09, N = 310.6410.7211.281. (CC) gcc options: -O3 -march=native -fopenmp

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 1.2Prefer FreqAutoPrefer Cache90M180M270M360M450MSE +/- 1311932.65, N = 3SE +/- 337440.37, N = 3SE +/- 457867.41, N = 34354949334375862004381133001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080pAutoPrefer FreqPrefer Cache50100150200250SE +/- 2.55, N = 15SE +/- 2.18, N = 15SE +/- 2.64, N = 15238.38238.97241.091. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KAutoPrefer FreqPrefer Cache20406080100SE +/- 1.08, N = 6SE +/- 1.20, N = 15SE +/- 1.11, N = 15106.78108.60109.811. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pPrefer FreqPrefer CacheAuto50100150200250SE +/- 2.13, N = 15SE +/- 2.80, N = 15SE +/- 3.46, N = 15241.38242.10248.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq20406080100SE +/- 1.44, N = 15SE +/- 1.26, N = 15SE +/- 0.99, N = 15105.96108.48110.911. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pPrefer FreqPrefer CacheAuto50100150200250SE +/- 0.85, N = 10SE +/- 1.80, N = 15SE +/- 2.26, N = 15217.88219.56221.031. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq20406080100SE +/- 0.86, N = 15SE +/- 0.85, N = 15SE +/- 0.70, N = 1589.0789.7289.871. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pAutoPrefer FreqPrefer Cache50100150200250SE +/- 2.75, N = 15SE +/- 1.96, N = 15SE +/- 2.36, N = 15219.50220.58221.701. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KPrefer FreqPrefer CacheAuto20406080100SE +/- 0.90, N = 15SE +/- 1.09, N = 15SE +/- 0.99, N = 7102.32105.98108.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080pPrefer CachePrefer FreqAuto1530456075SE +/- 0.28, N = 4SE +/- 0.09, N = 4SE +/- 0.36, N = 468.4768.5869.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KPrefer FreqAutoPrefer Cache612182430SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 324.0924.1824.181. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pPrefer FreqAutoPrefer Cache714212835SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 328.2928.3228.341. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KPrefer CacheAutoPrefer Freq3691215SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 313.1113.1913.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pAutoPrefer FreqPrefer Cache0.27230.54460.81691.08921.3615SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.201.201.211. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.09230.18460.27690.36920.4615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.410.410.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

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: EmilyAutoPrefer FreqPrefer Cache306090120150146.31145.59145.15

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialPrefer CachePrefer FreqAuto2040608010084.7984.7384.58

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterAutoPrefer FreqPrefer Cache2040608010096.9196.8696.59

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingAutoPrefer CachePrefer Freq15003000450060007500SE +/- 59.67, N = 7SE +/- 29.94, N = 6SE +/- 60.06, N = 66855.316857.026918.411. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingPrefer CachePrefer FreqAuto2K4K6K8K10KSE +/- 80.38, N = 6SE +/- 80.38, N = 6SE +/- 171.09, N = 711495.911495.911519.91. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingPrefer FreqAutoPrefer Cache5001000150020002500SE +/- 18.48, N = 15SE +/- 34.96, N = 15SE +/- 31.33, N = 152322.202371.382530.471. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingPrefer FreqAutoPrefer Cache6001200180024003000SE +/- 11.63, N = 15SE +/- 12.65, N = 15SE +/- 9.57, N = 152959.182964.862970.041. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPPrefer FreqPrefer CacheAuto120240360480600SE +/- 0.00, N = 5SE +/- 2.00, N = 5SE +/- 2.26, N = 5549.45550.08551.311. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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: FastAutoPrefer FreqPrefer Cache80160240320400SE +/- 0.23, N = 5SE +/- 0.25, N = 5SE +/- 0.29, N = 5367.89368.10368.251. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumAutoPrefer CachePrefer Freq306090120150SE +/- 0.04, N = 7SE +/- 0.05, N = 7SE +/- 0.06, N = 7129.15129.16129.531. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughAutoPrefer CachePrefer Freq48121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 316.0416.1216.151. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveAutoPrefer CachePrefer Freq0.38280.76561.14841.53121.914SE +/- 0.0015, N = 3SE +/- 0.0022, N = 3SE +/- 0.0015, N = 31.69501.69761.70121. (CXX) g++ options: -O3 -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: BMW27 - Compute: CPU-OnlyAutoPrefer CachePrefer Freq1224364860SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 352.5452.3752.25

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyPrefer CachePrefer FreqAuto306090120150SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3138.45138.43138.42

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyPrefer CacheAutoPrefer Freq1530456075SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 367.6267.6167.48

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyPrefer CacheAutoPrefer Freq4080120160200SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3168.24168.20167.94

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyAutoPrefer CachePrefer Freq110220330440550SE +/- 0.17, N = 3SE +/- 0.55, N = 3SE +/- 0.59, N = 3490.19489.98488.91

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.34VGR Performance MetricAutoPrefer FreqPrefer Cache80K160K240K320K400K3947663959453967451. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6

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 CompilePrefer CachePrefer FreqAuto1224364860SE +/- 0.31, N = 3SE +/- 0.42, N = 3SE +/- 0.37, N = 355.3555.2955.29

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: CPUAutoPrefer FreqPrefer Cache7K14K21K28K35KSE +/- 58.09, N = 3SE +/- 97.34, N = 3SE +/- 72.19, N = 3312243123831280

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheAutoPrefer CachePrefer Freq60120180240300SE +/- 1.37, N = 3SE +/- 1.64, N = 3SE +/- 0.59, N = 3275.83280.93281.13MIN: 13.18 / MAX: 7500MIN: 13.18 / MAX: 8571.43MIN: 12.85 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunAutoPrefer CachePrefer Freq70140210280350SE +/- 1.92, N = 3SE +/- 2.19, N = 3SE +/- 1.19, N = 3311.62316.99321.27MIN: 15.96 / MAX: 12000MIN: 19.73 / MAX: 10000MIN: 19.84 / MAX: 12000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunAutoPrefer CachePrefer Freq70140210280350SE +/- 3.39, N = 3SE +/- 0.72, N = 3SE +/- 2.63, N = 3313.67314.70323.36MIN: 15.76 / MAX: 10000MIN: 15.62 / MAX: 10000MIN: 18.55 / MAX: 12000

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: scryptAutoPrefer CachePrefer Freq140280420560700SE +/- 0.42, N = 3SE +/- 0.56, N = 3SE +/- 0.23, N = 3639.97640.64641.111. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinAutoPrefer CachePrefer Freq90K180K270K360K450KSE +/- 126.80, N = 3SE +/- 260.58, N = 3SE +/- 1105.18, N = 34252374255504264801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAutoPrefer CachePrefer Freq60K120K180K240K300KSE +/- 551.67, N = 3SE +/- 356.85, N = 3SE +/- 957.29, N = 32915472919332919531. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlPrefer FreqPrefer CacheAuto13K26K39K52K65KSE +/- 649.11, N = 15SE +/- 588.74, N = 15SE +/- 450.34, N = 155818958791593581. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAutoPrefer FreqPrefer Cache2004006008001000SE +/- 2.10, N = 3SE +/- 0.99, N = 3SE +/- 3.26, N = 31101.711102.641105.251. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xPrefer FreqAutoPrefer Cache2004006008001000SE +/- 1.01, N = 3SE +/- 3.00, N = 3SE +/- 5.11, N = 31109.971110.551116.021. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinPrefer CacheAutoPrefer Freq8001600240032004000SE +/- 45.48, N = 15SE +/- 55.34, N = 3SE +/- 137.18, N = 153781.073841.473869.371. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinPrefer FreqAutoPrefer Cache9001800270036004500SE +/- 13.77, N = 3SE +/- 12.63, N = 3SE +/- 32.16, N = 104152.584161.554211.631. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinPrefer CachePrefer FreqAuto4K8K12K16K20KSE +/- 83.53, N = 3SE +/- 190.35, N = 3SE +/- 193.42, N = 31951719670197731. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinPrefer CacheAutoPrefer Freq60K120K180K240K300KSE +/- 25.17, N = 3SE +/- 104.14, N = 3SE +/- 231.40, N = 32624202627872628871. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAutoPrefer FreqPrefer Cache30K60K90K120K150KSE +/- 27.28, N = 3SE +/- 78.60, N = 3SE +/- 290.08, N = 31365131366131367831. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 TimePrefer CacheAutoPrefer Freq3M6M9M12M15MSE +/- 154949.74, N = 4SE +/- 107676.89, N = 4SE +/- 134359.73, N = 41523160215335667153873801. (CC) gcc options: -pthread -lstdc++ -fprofile-use -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: H2Prefer FreqAutoPrefer Cache400800120016002000SE +/- 36.66, N = 20SE +/- 32.29, N = 20SE +/- 31.69, N = 20163816321593

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonAutoPrefer FreqPrefer Cache5001000150020002500SE +/- 8.79, N = 9SE +/- 3.91, N = 9SE +/- 6.57, N = 9232923212314

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 4.2.0Test: Boat - Acceleration: CPU-onlyPrefer CacheAutoPrefer Freq0.55711.11421.67132.22842.7855SE +/- 0.005, N = 9SE +/- 0.004, N = 9SE +/- 0.003, N = 92.4762.4562.452

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Masskrug - Acceleration: CPU-onlyPrefer CacheAutoPrefer Freq0.5961.1921.7882.3842.98SE +/- 0.008, N = 9SE +/- 0.003, N = 9SE +/- 0.010, N = 92.6492.6432.636

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Server Room - Acceleration: CPU-onlyAutoPrefer FreqPrefer Cache0.52791.05581.58372.11162.6395SE +/- 0.006, N = 9SE +/- 0.002, N = 9SE +/- 0.006, N = 92.3462.3312.326

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Server Rack - Acceleration: CPU-onlyPrefer CachePrefer FreqAuto0.03510.07020.10530.14040.1755SE +/- 0.000, N = 14SE +/- 0.000, N = 14SE +/- 0.000, N = 140.1560.1520.152

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080pPrefer CacheAutoPrefer Freq2004006008001000SE +/- 0.55, N = 5SE +/- 0.76, N = 5SE +/- 0.73, N = 5912.38913.51915.111. (CC) gcc options: -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 4KAutoPrefer FreqPrefer Cache90180270360450SE +/- 1.15, N = 5SE +/- 2.66, N = 5SE +/- 1.20, N = 5399.46399.60401.811. (CC) gcc options: -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pPrefer CachePrefer FreqAuto30060090012001500SE +/- 1.44, N = 10SE +/- 1.15, N = 10SE +/- 1.39, N = 101406.811407.911409.231. (CC) gcc options: -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitPrefer FreqPrefer CacheAuto2004006008001000SE +/- 1.23, N = 5SE +/- 0.54, N = 5SE +/- 1.52, N = 5827.99830.28830.581. (CC) gcc options: -pthread -lm

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUAutoPrefer CachePrefer Freq918273645SE +/- 0.61, N = 15SE +/- 0.33, N = 3SE +/- 0.40, N = 338.5735.3235.20

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsAutoPrefer CachePrefer Freq3691215SE +/- 0.19, N = 15SE +/- 0.20, N = 15SE +/- 0.20, N = 1511.1211.0911.00

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: Asian DragonAutoPrefer CachePrefer Freq816243240SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 334.4734.5934.62MIN: 34.23 / MAX: 34.9MIN: 34.42 / MAX: 34.96MIN: 34.35 / MAX: 35.31

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer - Model: CrownAutoPrefer CachePrefer Freq714212835SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 332.0032.1332.29MIN: 31.58 / MAX: 32.66MIN: 31.83 / MAX: 32.72MIN: 31.94 / MAX: 32.98

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian DragonAutoPrefer FreqPrefer Cache918273645SE +/- 0.06, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 439.7439.7639.78MIN: 39.35 / MAX: 40.85MIN: 39.42 / MAX: 40.83MIN: 39.43 / MAX: 40.87

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownPrefer CacheAutoPrefer Freq816243240SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 336.0236.0336.24MIN: 35.7 / MAX: 36.65MIN: 35.6 / MAX: 36.69MIN: 35.81 / MAX: 36.91

Gcrypt Library

Libgcrypt is a general purpose cryptographic library developed as part of the GnuPG project. This is a benchmark of libgcrypt's integrated benchmark and is measuring the time to run the benchmark command with a cipher/mac/hash repetition count set for 50 times as simple, high level look at the overall crypto performance of the system under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9AutoPrefer FreqPrefer Cache306090120150SE +/- 0.50, N = 3SE +/- 1.17, N = 3SE +/- 0.78, N = 3145.31143.80143.141. (CC) gcc options: -O2 -fvisibility=hidden

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesPrefer FreqAutoPrefer Cache816243240SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.13, N = 334.9734.2734.24

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleAutoPrefer CachePrefer Freq246810SE +/- 0.033, N = 6SE +/- 0.021, N = 6SE +/- 0.025, N = 67.3447.2647.233

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasPrefer FreqAutoPrefer Cache612182430SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 325.0624.9424.60

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonPrefer CachePrefer FreqAuto1428425670SE +/- 0.19, N = 3SE +/- 0.66, N = 3SE +/- 0.19, N = 362.6062.3461.89

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhancePrefer CachePrefer FreqAuto816243240SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.10, N = 334.2533.6033.42

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropPrefer CacheAutoPrefer Freq246810SE +/- 0.019, N = 6SE +/- 0.010, N = 6SE +/- 0.014, N = 66.9336.8906.884

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurPrefer CacheAutoPrefer Freq918273645SE +/- 0.34, N = 3SE +/- 0.39, N = 3SE +/- 0.42, N = 339.5139.3439.22

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectPrefer CacheAutoPrefer Freq510152025SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 320.7420.5820.37

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassPrefer CacheAutoPrefer Freq510152025SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 320.3820.2720.27

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 2.10.32Test: unsharp-maskPrefer CachePrefer FreqAuto3691215SE +/- 0.05, N = 4SE +/- 0.05, N = 4SE +/- 0.03, N = 413.1413.1313.11

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: resizePrefer FreqAutoPrefer Cache3691215SE +/- 0.09, N = 4SE +/- 0.08, N = 4SE +/- 0.08, N = 412.6512.5312.45

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: rotatePrefer FreqAutoPrefer Cache3691215SE +/- 0.017, N = 5SE +/- 0.009, N = 5SE +/- 0.008, N = 59.4719.4609.104

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: auto-levelsPrefer FreqPrefer CacheAuto3691215SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 510.7810.7710.64

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 7.3.0Prefer CacheAutoPrefer Freq1.04692.09383.14074.18765.2345SE +/- 0.013, N = 8SE +/- 0.007, N = 8SE +/- 0.012, N = 84.6534.6524.585

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: Five Back to Back FIR FiltersPrefer FreqAutoPrefer Cache30060090012001500SE +/- 17.40, N = 9SE +/- 22.39, N = 9SE +/- 25.73, N = 91352.31356.51404.41. 3.10.5.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Signal Source (Cosine)AutoPrefer CachePrefer Freq11002200330044005500SE +/- 48.78, N = 9SE +/- 45.51, N = 9SE +/- 41.28, N = 94813.04918.15008.91. 3.10.5.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FIR FilterPrefer FreqPrefer CacheAuto30060090012001500SE +/- 2.90, N = 9SE +/- 3.63, N = 9SE +/- 2.89, N = 91267.71390.51390.71. 3.10.5.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: IIR FilterPrefer CacheAutoPrefer Freq110220330440550SE +/- 1.65, N = 9SE +/- 2.24, N = 9SE +/- 0.92, N = 9518.2520.0524.71. 3.10.5.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FM Deemphasis FilterPrefer CacheAutoPrefer Freq2004006008001000SE +/- 4.98, N = 9SE +/- 2.62, N = 9SE +/- 3.20, N = 91115.01119.71136.91. 3.10.5.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Hilbert TransformPrefer FreqAutoPrefer Cache160320480640800SE +/- 3.07, N = 9SE +/- 3.80, N = 9SE +/- 3.09, N = 9687.4720.2721.31. 3.10.5.1

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: Church FacadePrefer CacheAutoPrefer Freq10002000300040005000SE +/- 6.68, N = 7SE +/- 57.92, N = 15SE +/- 2.19, N = 84517367736231. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: LionPrefer CacheAutoPrefer Freq8001600240032004000SE +/- 23.31, N = 8SE +/- 26.74, N = 15SE +/- 27.55, N = 153543319631951. (CXX) g++ options: -O3

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 NanotubeAutoPrefer FreqPrefer Cache306090120150SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3126.88126.82126.811. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceAutoPrefer FreqPrefer Cache400800120016002000SE +/- 10.37, N = 3SE +/- 6.89, N = 3SE +/- 3.71, N = 31634164617021. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianPrefer FreqAutoPrefer Cache130260390520650SE +/- 5.79, N = 12SE +/- 0.33, N = 3SE +/- 0.88, N = 36056116121. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedAutoPrefer CachePrefer Freq110220330440550SE +/- 1.00, N = 3SE +/- 0.88, N = 3SE +/- 1.45, N = 34864864921. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingPrefer CacheAutoPrefer Freq5001000150020002500SE +/- 17.52, N = 3SE +/- 26.27, N = 4SE +/- 31.52, N = 32158216922161. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotatePrefer FreqPrefer CacheAuto2004006008001000SE +/- 0.33, N = 3SE +/- 6.51, N = 3SE +/- 2.31, N = 31012102710301. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenAutoPrefer CachePrefer Freq60120180240300SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 32602612611. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlAutoPrefer FreqPrefer Cache2004006008001000SE +/- 1.53, N = 3SE +/- 0.33, N = 3SE +/- 5.17, N = 31144115311621. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -lheif -lde265 -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lzstd -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 2023Implementation: MPI CPU - Input: water_GMX50_barePrefer CacheAutoPrefer Freq0.60551.2111.81652.4223.0275SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.003, N = 32.6762.6852.6911. (CXX) g++ options: -O3

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Prefer CacheAutoPrefer Freq246810SE +/- 0.01712, N = 3SE +/- 0.00551, N = 3SE +/- 0.00077, N = 38.328308.328858.331971. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverPrefer FreqPrefer CacheAuto11002200330044005500SE +/- 83.07, N = 15SE +/- 120.69, N = 15SE +/- 140.79, N = 154638.295163.445350.251. (CC) gcc options: -O3 -mavx2

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: SupercarAutoPrefer CachePrefer Freq3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 311.7911.8211.85

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomPrefer CacheAutoPrefer Freq1.22272.44543.66814.89086.1135SE +/- 0.010, N = 3SE +/- 0.011, N = 3SE +/- 0.009, N = 35.4255.4285.434

KTX-Software toktx

This is a benchmark of The Khronos Group's KTX-Software library and tools. KTX-Software provides "toktx" for converting/creating in the KTX container format for image textures. This benchmark times how long it takes to convert to KTX 2.0 format with various settings using a reference PNG sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: Zstd Compression 19Prefer CacheAutoPrefer Freq3691215SE +/- 0.06, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 511.4510.2010.19

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3AutoPrefer FreqPrefer Cache1.18782.37563.56344.75125.939SE +/- 0.003, N = 7SE +/- 0.002, N = 7SE +/- 0.005, N = 75.2795.2725.130

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3 + Zstd Compression 19Prefer CachePrefer FreqAuto246810SE +/- 0.012, N = 5SE +/- 0.080, N = 15SE +/- 0.009, N = 68.7147.5617.497

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 4 + Zstd Compression 19Prefer CacheAutoPrefer Freq306090120150SE +/- 0.12, N = 3SE +/- 0.49, N = 3SE +/- 0.44, N = 3127.45127.26126.56

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowAutoPrefer CachePrefer Freq20406080100SE +/- 0.12, N = 6SE +/- 0.06, N = 6SE +/- 0.07, N = 679.7279.7979.841. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumPrefer CacheAutoPrefer Freq20406080100SE +/- 0.09, N = 6SE +/- 0.11, N = 6SE +/- 0.09, N = 682.3682.5882.641. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastPrefer CacheAutoPrefer Freq4080120160200SE +/- 0.11, N = 9SE +/- 0.10, N = 9SE +/- 0.11, N = 9173.35173.45173.581. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastPrefer CacheAutoPrefer Freq50100150200250SE +/- 0.18, N = 10SE +/- 0.15, N = 10SE +/- 0.21, N = 10229.99230.49230.801. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastAutoPrefer CachePrefer Freq60120180240300SE +/- 0.28, N = 11SE +/- 0.34, N = 11SE +/- 0.31, N = 11281.37281.56281.741. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowPrefer CacheAutoPrefer Freq510152025SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 320.6920.7120.741. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumAutoPrefer CachePrefer Freq510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 321.1521.1621.191. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastPrefer CacheAutoPrefer Freq1020304050SE +/- 0.04, N = 4SE +/- 0.05, N = 4SE +/- 0.03, N = 445.7845.8445.921. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastPrefer CacheAutoPrefer Freq1428425670SE +/- 0.04, N = 5SE +/- 0.04, N = 5SE +/- 0.06, N = 560.4060.4660.471. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastAutoPrefer CachePrefer Freq20406080100SE +/- 0.20, N = 6SE +/- 0.06, N = 6SE +/- 0.02, N = 679.1479.1979.321. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 MP3Prefer CacheAutoPrefer Freq1.09782.19563.29344.39125.489SE +/- 0.064, N = 15SE +/- 0.019, N = 8SE +/- 0.019, N = 84.8794.5674.5621. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

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 ProteinPrefer CachePrefer FreqAuto48121620SE +/- 0.17, N = 15SE +/- 0.14, N = 15SE +/- 0.11, N = 1316.1116.2516.311. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsPrefer CacheAutoPrefer Freq48121620SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 316.3316.3416.391. (CXX) g++ options: -O3 -lm -ldl

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: BLASPrefer CacheAutoPrefer Freq400800120016002000SE +/- 6.23, N = 3SE +/- 22.10, N = 3SE +/- 2.96, N = 31926192819311. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenPrefer FreqPrefer CacheAuto400800120016002000SE +/- 14.57, N = 3SE +/- 19.08, N = 3SE +/- 12.03, N = 31795181018251. (CXX) g++ options: -flto -pthread

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: 0Prefer CacheAutoPrefer Freq20406080100SE +/- 0.17, N = 3SE +/- 0.56, N = 15SE +/- 0.29, N = 376.1773.6771.801. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 2Prefer CacheAutoPrefer Freq918273645SE +/- 0.31, N = 15SE +/- 0.32, N = 8SE +/- 0.07, N = 337.1236.2335.941. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6Prefer CacheAutoPrefer Freq0.73581.47162.20742.94323.679SE +/- 0.013, N = 9SE +/- 0.012, N = 9SE +/- 0.008, N = 93.2703.2243.2091. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessPrefer CacheAutoPrefer Freq1.24132.48263.72394.96526.2065SE +/- 0.021, N = 7SE +/- 0.036, N = 7SE +/- 0.012, N = 75.5175.4885.4211. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessPrefer CacheAutoPrefer Freq0.74181.48362.22542.96723.709SE +/- 0.022, N = 15SE +/- 0.027, N = 15SE +/- 0.022, N = 153.2973.2833.2501. (CXX) g++ options: -O3 -fPIC -lm

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark that is part of libjpeg-turbo, a JPEG image codec library optimized for SIMD instructions on modern CPU architectures. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.1.0Test: Decompression ThroughputAutoPrefer CachePrefer Freq70140210280350SE +/- 3.34, N = 15SE +/- 1.66, N = 3SE +/- 1.53, N = 3337.86342.25344.081. (CC) gcc options: -O3 -rdynamic

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: 57Prefer CacheAutoPrefer Freq160M320M480M640M800MSE +/- 1271434.01, N = 3SE +/- 813961.51, N = 3SE +/- 135441.66, N = 37517333337561300007579833331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 57Prefer CacheAutoPrefer Freq300M600M900M1200M1500MSE +/- 6133605.07, N = 3SE +/- 3012381.86, N = 3SE +/- 1880011.82, N = 31471433333148536666714880333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57Prefer CacheAutoPrefer Freq300M600M900M1200M1500MSE +/- 1675642.50, N = 3SE +/- 971253.49, N = 3SE +/- 2628265.17, N = 31485666667148770000014886333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersPrefer CacheAutoPrefer Freq400800120016002000SE +/- 20.86, N = 5SE +/- 22.01, N = 3SE +/- 17.45, N = 71945.71959.12002.5

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterAutoPrefer CachePrefer Freq110220330440550SE +/- 4.15, N = 3SE +/- 3.13, N = 5SE +/- 2.13, N = 7527.5527.7527.9

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformAutoPrefer FreqPrefer Cache306090120150SE +/- 1.47, N = 3SE +/- 0.35, N = 7SE +/- 1.10, N = 5153.7154.6155.6

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex PhasePrefer FreqAutoPrefer Cache2004006008001000SE +/- 4.41, N = 7SE +/- 4.07, N = 3SE +/- 4.40, N = 51071.41078.41089.7

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3AutoPrefer FreqPrefer Cache2K4K6K8K10KSE +/- 16.15, N = 7SE +/- 18.86, N = 7SE +/- 24.38, N = 79039.159066.299073.591. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUAutoPrefer FreqPrefer Cache1.14082.28163.42244.56325.704SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.025.055.07MIN: 4.9 / MAX: 5.32MIN: 4.92 / MAX: 5.35MIN: 4.95 / MAX: 5.38

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUAutoPrefer FreqPrefer Cache48121620SE +/- 0.03, N = 5SE +/- 0.08, N = 5SE +/- 0.08, N = 517.5717.5817.67MIN: 15.92 / MAX: 17.78MIN: 15.92 / MAX: 18.06MIN: 15.83 / MAX: 18.03

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUAutoPrefer CachePrefer Freq1.07552.1513.22654.3025.3775SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 34.774.784.78MIN: 2.09 / MAX: 5.39MIN: 2.1 / MAX: 5.41MIN: 2.12 / MAX: 5.4

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUPrefer CacheAutoPrefer Freq246810SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37.867.907.92MIN: 7.02 / MAX: 8.29MIN: 7.04 / MAX: 8.37MIN: 7.07 / MAX: 8.33

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUPrefer CacheAutoPrefer Freq1.00352.0073.01054.0145.0175SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 34.364.384.46MIN: 1.84 / MAX: 4.92MIN: 1.82 / MAX: 4.93MIN: 2.05 / MAX: 5

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedAutoPrefer FreqPrefer Cache4K8K12K16K20KSE +/- 78.27, N = 3SE +/- 99.20, N = 3SE +/- 79.02, N = 317290.9817314.4017319.671. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedPrefer CacheAutoPrefer Freq4K8K12K16K20KSE +/- 89.48, N = 3SE +/- 30.12, N = 3SE +/- 23.55, N = 319460.119572.919602.61. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedPrefer FreqPrefer CacheAuto20406080100SE +/- 0.68, N = 3SE +/- 0.15, N = 3SE +/- 0.95, N = 473.6175.7478.951. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedPrefer FreqAutoPrefer Cache4K8K12K16K20KSE +/- 30.05, N = 3SE +/- 78.84, N = 4SE +/- 28.63, N = 318319.818483.018752.71. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedAutoPrefer FreqPrefer Cache1632486480SE +/- 0.40, N = 3SE +/- 0.81, N = 4SE +/- 0.53, N = 1572.1072.8473.611. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedAutoPrefer FreqPrefer Cache4K8K12K16K20KSE +/- 23.00, N = 3SE +/- 123.72, N = 4SE +/- 33.45, N = 1518495.318587.518764.51. (CC) gcc options: -O3

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolvePrefer CacheAutoPrefer Freq714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 328.5528.5528.481. (CXX) g++ options: -fopenmp -O2 -march=native

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimePrefer CachePrefer FreqAuto1.34642.69284.03925.38566.732SE +/- 0.004, N = 7SE +/- 0.003, N = 7SE +/- 0.005, N = 75.9845.9835.9811. (CC) gcc options: -static -fopenmp -O3 -march=native

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 AtomsAutoPrefer CachePrefer Freq0.18390.36780.55170.73560.9195SE +/- 0.00047, N = 3SE +/- 0.00028, N = 3SE +/- 0.00066, N = 30.817210.815940.81379

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipAutoPrefer FreqPrefer Cache246810SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 35.95.96.0

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: mobilenetPrefer FreqPrefer CacheAuto3691215SE +/- 0.05, N = 15SE +/- 0.01, N = 3SE +/- 0.03, N = 39.168.928.91MIN: 8.92 / MAX: 10.19MIN: 8.81 / MAX: 14.7MIN: 8.81 / MAX: 9.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Prefer FreqPrefer CacheAuto0.8731.7462.6193.4924.365SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 33.883.823.81MIN: 3.78 / MAX: 7.82MIN: 3.74 / MAX: 4.27MIN: 3.75 / MAX: 4.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Prefer FreqPrefer CacheAuto0.76051.5212.28153.0423.8025SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 33.383.333.31MIN: 3.27 / MAX: 3.9MIN: 3.24 / MAX: 3.96MIN: 3.25 / MAX: 3.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Prefer FreqPrefer CacheAuto0.8731.7462.6193.4924.365SE +/- 0.01, N = 13SE +/- 0.02, N = 3SE +/- 0.01, N = 33.883.843.84MIN: 3.75 / MAX: 9.76MIN: 3.73 / MAX: 4.32MIN: 3.76 / MAX: 4.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Prefer FreqPrefer CacheAuto1.0712.1423.2134.2845.355SE +/- 0.01, N = 15SE +/- 0.03, N = 3SE +/- 0.00, N = 34.764.664.64MIN: 4.62 / MAX: 5.4MIN: 4.56 / MAX: 10.75MIN: 4.57 / MAX: 5.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefacePrefer FreqPrefer CacheAuto0.37130.74261.11391.48521.8565SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 31.651.631.62MIN: 1.58 / MAX: 2.22MIN: 1.57 / MAX: 1.98MIN: 1.59 / MAX: 1.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetPrefer FreqAutoPrefer Cache246810SE +/- 0.02, N = 15SE +/- 0.02, N = 3SE +/- 0.04, N = 38.618.488.47MIN: 8.31 / MAX: 9.47MIN: 8.36 / MAX: 9.39MIN: 8.29 / MAX: 9.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Prefer FreqPrefer CacheAuto612182430SE +/- 0.08, N = 15SE +/- 0.03, N = 3SE +/- 0.03, N = 324.7224.5724.51MIN: 24.22 / MAX: 59.52MIN: 24.29 / MAX: 29.41MIN: 24.28 / MAX: 37.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18AutoPrefer FreqPrefer Cache246810SE +/- 0.01, N = 3SE +/- 0.01, N = 15SE +/- 0.01, N = 37.037.026.90MIN: 6.9 / MAX: 7.92MIN: 6.83 / MAX: 10.65MIN: 6.76 / MAX: 7.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetAutoPrefer CachePrefer Freq1.08452.1693.25354.3385.4225SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 144.824.754.74MIN: 4.45 / MAX: 5.54MIN: 4.42 / MAX: 5.49MIN: 4.6 / MAX: 10.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Prefer FreqAutoPrefer Cache3691215SE +/- 0.05, N = 15SE +/- 0.02, N = 3SE +/- 0.03, N = 311.6111.6011.49MIN: 11.23 / MAX: 17.95MIN: 11.46 / MAX: 17.5MIN: 11.32 / MAX: 12.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyPrefer FreqPrefer CacheAuto48121620SE +/- 0.09, N = 15SE +/- 0.02, N = 3SE +/- 0.04, N = 314.4114.3514.32MIN: 14.02 / MAX: 20.18MIN: 14.11 / MAX: 14.93MIN: 14.06 / MAX: 19.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdPrefer FreqAutoPrefer Cache3691215SE +/- 0.03, N = 15SE +/- 0.02, N = 3SE +/- 0.02, N = 311.8711.7711.70MIN: 11.61 / MAX: 18.31MIN: 11.6 / MAX: 12.48MIN: 11.52 / MAX: 17.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mPrefer FreqPrefer CacheAuto3691215SE +/- 0.06, N = 15SE +/- 0.16, N = 3SE +/- 0.05, N = 312.3012.1812.12MIN: 11.79 / MAX: 39.44MIN: 11.67 / MAX: 12.88MIN: 11.83 / MAX: 17.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerPrefer CacheAutoPrefer Freq20406080100SE +/- 0.91, N = 3SE +/- 1.09, N = 3SE +/- 0.23, N = 1582.0181.5280.55MIN: 79.65 / MAX: 95.45MIN: 80.09 / MAX: 86.32MIN: 79.58 / MAX: 94.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetPrefer FreqPrefer CacheAuto1.07552.1513.22654.3025.3775SE +/- 0.02, N = 13SE +/- 0.04, N = 3SE +/- 0.02, N = 34.784.754.73MIN: 4.62 / MAX: 10.44MIN: 4.62 / MAX: 5.91MIN: 4.62 / MAX: 9.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetPrefer FreqPrefer CacheAuto0.76951.5392.30853.0783.8475SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.01, N = 33.423.373.37MIN: 3.32 / MAX: 3.96MIN: 3.3 / MAX: 3.84MIN: 3.32 / MAX: 3.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Node.js Express HTTP Load Test

A Node.js Express server with a Node-based loadtest client for facilitating HTTP benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestPrefer CacheAutoPrefer Freq2K4K6K8K10KSE +/- 21.96, N = 5SE +/- 17.51, N = 5SE +/- 51.45, N = 5108711100611056

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkPrefer CacheAutoPrefer Freq510152025SE +/- 0.24, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 320.4620.6320.90

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointPrefer CacheAutoPrefer Freq3691215SE +/- 0.09, N = 4SE +/- 0.12, N = 15SE +/- 0.14, N = 1511.9511.5011.41

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianPrefer FreqAutoPrefer Cache0.77221.54442.31663.08883.861SE +/- 0.013, N = 9SE +/- 0.020, N = 9SE +/- 0.010, N = 93.4323.4143.409

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyPrefer FreqPrefer CacheAuto246810SE +/- 0.015, N = 6SE +/- 0.052, N = 6SE +/- 0.049, N = 67.2837.2787.159

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylinePrefer CachePrefer FreqAuto1122334455SE +/- 0.43, N = 3SE +/- 0.33, N = 3SE +/- 0.45, N = 347.9946.3945.23

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADAutoPrefer FreqPrefer Cache20406080100SE +/- 0.32, N = 3SE +/- 0.20, N = 3SE +/- 0.40, N = 390.6889.9589.86

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSEPrefer CachePrefer FreqAuto510152025SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 320.7819.9619.90

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkPrefer FreqAutoPrefer Cache2004006008001000SE +/- 1.73, N = 3SE +/- 6.01, N = 15SE +/- 9.21, N = 6885.61899.73958.48

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: u8s8f32 - Engine: CPUPrefer FreqPrefer CacheAuto1.2212.4423.6634.8846.105SE +/- 0.07946, N = 15SE +/- 0.04406, N = 15SE +/- 0.03961, N = 155.426885.154565.14172MIN: 5.02MIN: 4.87MIN: 4.81. (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: CPUPrefer FreqPrefer CacheAuto0.10470.20940.31410.41880.5235SE +/- 0.000410, N = 3SE +/- 0.001471, N = 3SE +/- 0.000909, N = 30.4651390.4644260.460811MIN: 0.45MIN: 0.45MIN: 0.441. (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: CPUPrefer CacheAutoPrefer Freq0.1430.2860.4290.5720.715SE +/- 0.001156, N = 9SE +/- 0.001435, N = 9SE +/- 0.001721, N = 90.6357670.6344550.634357MIN: 0.62MIN: 0.61MIN: 0.611. (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: CPUPrefer FreqAutoPrefer Cache0.18520.37040.55560.74080.926SE +/- 0.004461, N = 5SE +/- 0.001866, N = 5SE +/- 0.008538, N = 150.8230090.6655170.664627MIN: 0.75MIN: 0.62MIN: 0.581. (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: CPUPrefer CacheAutoPrefer Freq0.03830.07660.11490.15320.1915SE +/- 0.002974, N = 15SE +/- 0.002416, N = 12SE +/- 0.001025, N = 130.1700310.1488200.148585MIN: 0.14MIN: 0.13MIN: 0.131. (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: CPUPrefer FreqAutoPrefer Cache30060090012001500SE +/- 3.20, N = 3SE +/- 10.71, N = 3SE +/- 5.17, N = 31288.241280.481276.22MIN: 1274.09MIN: 1249.8MIN: 1255.91. (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: CPUPrefer CacheAutoPrefer Freq30060090012001500SE +/- 5.43, N = 3SE +/- 3.31, N = 3SE +/- 12.75, N = 31286.511280.491279.16MIN: 1267.38MIN: 1262.86MIN: 1247.771. (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: CPUPrefer CacheAutoPrefer Freq150300450600750SE +/- 3.19, N = 3SE +/- 2.26, N = 3SE +/- 3.86, N = 3685.42673.24673.16MIN: 674.86MIN: 666.56MIN: 663.461. (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: CPUPrefer CachePrefer FreqAuto150300450600750SE +/- 1.86, N = 3SE +/- 2.87, N = 3SE +/- 7.25, N = 3683.48678.66674.84MIN: 674.73MIN: 670.71MIN: 656.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: StandardPrefer CachePrefer FreqAuto3691215SE +/- 0.35, N = 15SE +/- 0.11, N = 3SE +/- 0.13, N = 510.7912.1812.241. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardAutoPrefer FreqPrefer Cache0.77131.54262.31393.08523.8565SE +/- 0.15740, N = 15SE +/- 0.15247, N = 15SE +/- 0.12057, N = 123.013553.087023.428081. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardPrefer CacheAutoPrefer Freq4080120160200SE +/- 7.02, N = 15SE +/- 7.51, N = 15SE +/- 9.16, N = 12184.02185.54185.951. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq510152025SE +/- 0.65, N = 15SE +/- 0.75, N = 15SE +/- 0.63, N = 1517.1017.6918.321. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardPrefer FreqAutoPrefer Cache4080120160200SE +/- 2.62, N = 15SE +/- 2.28, N = 4SE +/- 0.57, N = 3183.57185.34188.881. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardPrefer CacheAutoPrefer Freq1020304050SE +/- 1.48, N = 15SE +/- 1.11, N = 15SE +/- 0.93, N = 1242.2742.7643.741. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq110220330440550SE +/- 9.98, N = 15SE +/- 1.61, N = 3SE +/- 0.47, N = 3474.94497.88499.701. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardAutoPrefer FreqPrefer Cache20406080100SE +/- 2.15, N = 15SE +/- 1.82, N = 12SE +/- 0.35, N = 369.0870.0974.511. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenEMS

OpenEMS is a free and open electromagnetic field solver using the FDTD method. This test profile runs OpenEMS and pyEMS benchmark demos. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMCells/s, More Is BetterOpenEMS 0.0.35-86Test: pyEMS CouplerPrefer FreqAutoPrefer Cache1428425670SE +/- 0.05, N = 3SE +/- 0.35, N = 3SE +/- 0.12, N = 360.9261.6162.011. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat

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 - Mesh TimePrefer CacheAutoPrefer Freq61218243023.9823.2022.931. (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 - Execution TimePrefer FreqAutoPrefer Cache306090120150129.42125.82123.661. (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

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.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUPrefer CacheAutoPrefer Freq3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 313.4813.5313.531. (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: CPUPrefer CachePrefer FreqAuto130260390520650SE +/- 0.31, N = 3SE +/- 0.84, N = 3SE +/- 0.52, N = 3591.14589.71589.51MIN: 290.4 / MAX: 616.78MIN: 329.37 / MAX: 617.43MIN: 368.88 / MAX: 615.411. (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: CPUPrefer FreqPrefer CacheAuto612182430SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 326.0926.1126.141. (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: CPUPrefer FreqPrefer CacheAuto70140210280350SE +/- 0.10, N = 3SE +/- 0.48, N = 3SE +/- 0.44, N = 3306.23305.71305.51MIN: 293.51 / MAX: 313.39MIN: 264.82 / MAX: 314.53MIN: 290.82 / MAX: 316.321. (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: CPUPrefer CachePrefer FreqAuto9K18K27K36K45KSE +/- 60.47, N = 3SE +/- 18.59, N = 3SE +/- 26.82, N = 340512.3940605.4440664.131. (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: CPUPrefer FreqPrefer CacheAuto0.08780.17560.26340.35120.439SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.390.390.39MIN: 0.22 / MAX: 7.76MIN: 0.23 / MAX: 9.35MIN: 0.23 / MAX: 7.841. (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: CPUPrefer CacheAutoPrefer Freq5K10K15K20K25KSE +/- 118.07, N = 3SE +/- 11.18, N = 3SE +/- 31.27, N = 323486.3623579.6723592.851. (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: CPUPrefer FreqPrefer CacheAuto0.15080.30160.45240.60320.754SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.670.670.67MIN: 0.34 / MAX: 8.81MIN: 0.37 / MAX: 8.32MIN: 0.37 / MAX: 8.391. (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: CPUAutoPrefer CachePrefer Freq246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 37.347.357.371. (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: CPUAutoPrefer CachePrefer Freq2004006008001000SE +/- 3.67, N = 3SE +/- 2.11, N = 3SE +/- 2.74, N = 31084.601082.361080.71MIN: 963.74 / MAX: 1282.15MIN: 781.51 / MAX: 1247.1MIN: 591.34 / MAX: 1282.051. (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: CPUAutoPrefer CachePrefer Freq246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37.257.277.291. (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: CPUAutoPrefer CachePrefer Freq2004006008001000SE +/- 0.42, N = 3SE +/- 2.98, N = 3SE +/- 2.23, N = 31097.261093.401089.89MIN: 580.94 / MAX: 1284.21MIN: 638.38 / MAX: 1255.16MIN: 566.46 / MAX: 1284.731. (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: CPUAutoPrefer CachePrefer Freq6001200180024003000SE +/- 3.36, N = 3SE +/- 1.72, N = 3SE +/- 1.52, N = 32613.422613.722621.901. (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: CPUPrefer CacheAutoPrefer Freq246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.126.126.10MIN: 3.21 / MAX: 13.65MIN: 3.2 / MAX: 14.83MIN: 3.29 / MAX: 13.391. (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: CPUAutoPrefer FreqPrefer Cache30060090012001500SE +/- 1.06, N = 3SE +/- 1.63, N = 3SE +/- 0.83, N = 31332.501333.241335.291. (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: CPUAutoPrefer FreqPrefer Cache246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.005.995.98MIN: 3.08 / MAX: 13.24MIN: 3.14 / MAX: 13.64MIN: 3.07 / MAX: 15.391. (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: CPUAutoPrefer CachePrefer Freq400800120016002000SE +/- 3.62, N = 3SE +/- 1.37, N = 3SE +/- 3.24, N = 31700.141702.471721.241. (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: CPUAutoPrefer CachePrefer Freq1.05752.1153.17254.235.2875SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.704.694.65MIN: 3.01 / MAX: 12.51MIN: 3.01 / MAX: 12.79MIN: 3 / MAX: 12.961. (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: CPUPrefer FreqAutoPrefer Cache2004006008001000SE +/- 3.10, N = 3SE +/- 4.60, N = 3SE +/- 3.98, N = 3993.16997.601009.731. (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: CPUPrefer FreqAutoPrefer Cache246810SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 38.058.017.92MIN: 3.98 / MAX: 18.88MIN: 4.18 / MAX: 20.46MIN: 4.93 / MAX: 18.911. (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: CPUPrefer CacheAutoPrefer Freq400800120016002000SE +/- 3.63, N = 3SE +/- 1.97, N = 3SE +/- 2.43, N = 31659.221663.091674.001. (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: CPUPrefer CacheAutoPrefer Freq1.08452.1693.25354.3385.4225SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.824.804.77MIN: 3.53 / MAX: 14.59MIN: 3.36 / MAX: 13.68MIN: 3.42 / MAX: 11.471. (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: CPUAutoPrefer CachePrefer Freq306090120150SE +/- 0.15, N = 3SE +/- 0.23, N = 3SE +/- 0.31, N = 3135.28135.51135.631. (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: CPUAutoPrefer CachePrefer Freq1326395265SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 359.0858.9958.93MIN: 27.39 / MAX: 72.82MIN: 29.03 / MAX: 69.75MIN: 41.49 / MAX: 69.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ScalarAutoPrefer CachePrefer Freq4080120160200SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3198198199MIN: 17 / MAX: 3749MIN: 18 / MAX: 3736MIN: 18 / MAX: 3749

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCAutoPrefer CachePrefer Freq90180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.86, N = 3407407419MIN: 53 / MAX: 5149MIN: 53 / MAX: 5165MIN: 53 / MAX: 5936

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timePrefer CacheAutoPrefer Freq246810SE +/- 0.00354, N = 3SE +/- 0.02259, N = 3SE +/- 0.01807, N = 37.614877.661027.70002

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAutoPrefer CachePrefer Freq246810SE +/- 0.01046, N = 3SE +/- 0.03086, N = 3SE +/- 0.03167, N = 37.465707.507977.56400

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAutoPrefer FreqPrefer Cache3691215SE +/- 0.01032, N = 3SE +/- 0.00141, N = 3SE +/- 0.00821, N = 38.958078.980568.98545

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timePrefer CachePrefer FreqAuto246810SE +/- 0.00154, N = 3SE +/- 0.00336, N = 3SE +/- 0.00120, N = 37.561897.572997.57692

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timePrefer FreqAutoPrefer Cache246810SE +/- 0.03588, N = 3SE +/- 0.00618, N = 3SE +/- 0.00464, N = 37.530187.564237.59681

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timePrefer FreqPrefer CacheAuto50100150200250SE +/- 0.84, N = 3SE +/- 0.12, N = 3SE +/- 0.40, N = 3235.28235.72235.95

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerPrefer CachePrefer FreqAuto2004006008001000SE +/- 1.86, N = 3SE +/- 1.53, N = 3SE +/- 1.33, N = 39869849691. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerPrefer CachePrefer FreqAuto7K14K21K28K35KSE +/- 38.68, N = 3SE +/- 68.70, N = 3SE +/- 52.27, N = 33159331551309431. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerPrefer CachePrefer FreqAuto8001600240032004000SE +/- 4.58, N = 3SE +/- 0.58, N = 3SE +/- 35.92, N = 33948394638821. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerPrefer FreqPrefer CacheAuto30K60K90K120K150KSE +/- 180.62, N = 3SE +/- 114.33, N = 3SE +/- 180.00, N = 31299001296771266041. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerPrefer FreqPrefer CacheAuto2004006008001000SE +/- 1.00, N = 3SE +/- 1.76, N = 3SE +/- 0.00, N = 310019979801. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerPrefer CachePrefer FreqAuto7K14K21K28K35KSE +/- 39.37, N = 3SE +/- 33.67, N = 3SE +/- 52.98, N = 33206132005313111. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerPrefer CachePrefer FreqAuto9001800270036004500SE +/- 8.89, N = 3SE +/- 7.55, N = 3SE +/- 3.51, N = 33990398839881. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerPrefer CachePrefer FreqAuto30K60K90K120K150KSE +/- 123.29, N = 3SE +/- 208.57, N = 3SE +/- 113.14, N = 31315521311991279481. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerPrefer FreqAutoPrefer Cache30060090012001500SE +/- 1.53, N = 3SE +/- 1.73, N = 3SE +/- 1.86, N = 31178115411521. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerPrefer CachePrefer FreqAuto8K16K24K32K40KSE +/- 97.48, N = 3SE +/- 63.89, N = 3SE +/- 49.58, N = 33769037588375351. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerPrefer CachePrefer FreqAuto10002000300040005000SE +/- 4.91, N = 3SE +/- 31.34, N = 3SE +/- 3.46, N = 34681462945811. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerPrefer CachePrefer FreqAuto30K60K90K120K150KSE +/- 538.77, N = 3SE +/- 1166.54, N = 3SE +/- 142.59, N = 31536331521481500681. (CXX) g++ options: -O3 -lm -ldl

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigAutoPrefer FreqPrefer Cache612182430SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 324.8523.3922.621. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAutoPrefer FreqPrefer Cache816243240SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 333.1233.0532.391. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

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 SuitePrefer CachePrefer FreqAuto300K600K900K1200K1500KSE +/- 1625.68, N = 3SE +/- 12155.78, N = 4SE +/- 11338.88, N = 4115434112477861270496

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: 1e12Prefer CacheAutoPrefer Freq246810SE +/- 0.004, N = 6SE +/- 0.005, N = 6SE +/- 0.007, N = 66.8686.8626.8451. (CXX) g++ options: -O3

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13AutoPrefer CachePrefer Freq20406080100SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 383.1683.0782.931. (CXX) g++ options: -O3

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 TimesPrefer CachePrefer FreqAuto120240360480600SE +/- 3.30, N = 4SE +/- 4.09, N = 4SE +/- 2.96, N = 4562504500

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of StatePrefer CachePrefer FreqAuto0.02770.05540.08310.11080.1385SE +/- 0.000, N = 4SE +/- 0.001, N = 4SE +/- 0.000, N = 40.1230.1220.121

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral MixingAutoPrefer CachePrefer Freq0.05330.10660.15990.21320.2665SE +/- 0.001, N = 4SE +/- 0.001, N = 4SE +/- 0.002, N = 40.2370.2360.234

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StatePrefer FreqPrefer CacheAuto0.16760.33520.50280.67040.838SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.7450.7410.736

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingPrefer FreqAutoPrefer Cache0.24620.49240.73860.98481.231SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 121.0941.0851.067

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 1.21AutoPrefer FreqPrefer Cache10002000300040005000SE +/- 38.40, N = 3SE +/- 34.67, N = 3SE +/- 27.33, N = 34169.24512.44577.41. (CXX) g++ options: -O3 -march=native -rdynamic

Radiance Benchmark

This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialPrefer FreqPrefer CacheAuto80160240320400366.42360.31331.61

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParallelPrefer CachePrefer FreqAuto306090120150114.03112.34112.05

rav1e

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 10Prefer FreqPrefer CacheAuto48121620SE +/- 0.16, N = 7SE +/- 0.09, N = 7SE +/- 0.11, N = 716.7416.7917.05

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 6Prefer FreqAutoPrefer Cache246810SE +/- 0.056, N = 6SE +/- 0.038, N = 6SE +/- 0.013, N = 67.3677.3707.405

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 5AutoPrefer CachePrefer Freq1.06312.12623.18934.25245.3155SE +/- 0.033, N = 4SE +/- 0.008, N = 4SE +/- 0.011, N = 44.6334.6894.725

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 1AutoPrefer FreqPrefer Cache0.26570.53140.79711.06281.3285SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 31.1761.1791.181

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimePrefer CachePrefer FreqAuto816243240SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 334.9434.8634.831. RawTherapee, version 5.9, command line.

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Akka Unbalanced Cobwebbed TreePrefer FreqPrefer CacheAuto2K4K6K8K10KSE +/- 94.41, N = 4SE +/- 79.65, N = 3SE +/- 58.84, N = 37797.27772.77732.7MIN: 5695.75 / MAX: 7918.79MIN: 5787.99 / MAX: 7897.04MIN: 5663.78 / MAX: 7847.58

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IOPrefer CacheAutoPrefer Freq7001400210028003500SE +/- 47.73, N = 3SE +/- 31.81, N = 3SE +/- 17.17, N = 33489.03454.13439.3MIN: 3424.57 / MAX: 5127.41MIN: 3399.67 / MAX: 5374.55MIN: 3421.31 / MAX: 5134.14

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark ALSAutoPrefer CachePrefer Freq400800120016002000SE +/- 11.39, N = 3SE +/- 7.98, N = 3SE +/- 1.83, N = 31874.31874.11857.1MIN: 1794.8 / MAX: 2057.95MIN: 1789.64 / MAX: 2506.58MIN: 1796.07 / MAX: 1967.45

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Random ForestPrefer CacheAutoPrefer Freq80160240320400SE +/- 1.83, N = 3SE +/- 0.34, N = 3SE +/- 0.54, N = 3391.5391.5388.9MIN: 353.06 / MAX: 470.48MIN: 365 / MAX: 478.75MIN: 352.2 / MAX: 453.6

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark BayesAutoPrefer CachePrefer Freq2004006008001000SE +/- 2.28, N = 3SE +/- 3.20, N = 3SE +/- 0.84, N = 3790.2788.2786.3MIN: 583.89 / MAX: 794.71MIN: 581.24 / MAX: 794.49MIN: 582.5 / MAX: 787.77

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark PageRankPrefer FreqAutoPrefer Cache30060090012001500SE +/- 15.65, N = 3SE +/- 15.84, N = 3SE +/- 2.07, N = 31584.11566.91562.2MIN: 1414.69 / MAX: 1754.86MIN: 1420.34 / MAX: 1721.97MIN: 1439.9 / MAX: 1667.7

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Scala DottyPrefer CacheAutoPrefer Freq110220330440550SE +/- 1.94, N = 3SE +/- 9.27, N = 15SE +/- 7.93, N = 15521.1475.2470.7MIN: 368.91 / MAX: 746.18MIN: 358.08 / MAX: 752.1MIN: 360.24 / MAX: 753.62

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Finagle HTTP RequestsPrefer CacheAutoPrefer Freq400800120016002000SE +/- 10.69, N = 3SE +/- 12.79, N = 3SE +/- 11.77, N = 32096.12083.52080.4MIN: 1946.09 / MAX: 2151MIN: 1911.93 / MAX: 2147.25MIN: 1915.29 / MAX: 2096.84

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Genetic Algorithm Using Jenetics + FuturesAutoPrefer CachePrefer Freq2004006008001000SE +/- 5.13, N = 3SE +/- 8.29, N = 3SE +/- 7.37, N = 31126.51116.21111.3MIN: 1017.45 / MAX: 1147.28MIN: 1043.35 / MAX: 1143.74MIN: 1060.74 / MAX: 1144.27

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: ALS Movie LensAutoPrefer CachePrefer Freq2K4K6K8K10KSE +/- 77.81, N = 3SE +/- 88.81, N = 3SE +/- 112.03, N = 38108.58103.67991.4MIN: 7956.94 / MAX: 8936.02MIN: 7926.83 / MAX: 8896.3MIN: 7874.73 / MAX: 9046.54

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Prefer FreqPrefer CacheAuto3691215SE +/- 0.15, N = 15SE +/- 0.07, N = 4SE +/- 0.02, N = 413.1312.7712.571. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Sequential FillPrefer CacheAutoPrefer Freq300K600K900K1200K1500KSE +/- 3546.36, N = 3SE +/- 2647.98, N = 3SE +/- 3968.04, N = 31441815144549914505991. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random FillPrefer CachePrefer FreqAuto300K600K900K1200K1500KSE +/- 3639.38, N = 3SE +/- 2340.10, N = 3SE +/- 1364.86, N = 31388787139602413987171. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fill SyncPrefer FreqPrefer CacheAuto9K18K27K36K45KSE +/- 113.36, N = 3SE +/- 84.16, N = 3SE +/- 41.20, N = 33947839653397281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random ReadAutoPrefer FreqPrefer Cache30M60M90M120M150MSE +/- 134841.05, N = 3SE +/- 260132.99, N = 3SE +/- 515512.16, N = 31472961311477400171477601091. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read While WritingAutoPrefer FreqPrefer Cache900K1800K2700K3600K4500KSE +/- 12110.14, N = 3SE +/- 25035.49, N = 3SE +/- 24244.30, N = 34196944419845442122461. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read Random Write RandomPrefer CachePrefer FreqAuto700K1400K2100K2800K3500KSE +/- 9373.61, N = 3SE +/- 3924.51, N = 3SE +/- 3489.00, N = 33311766331541533236671. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Update RandomAutoPrefer FreqPrefer Cache200K400K600K800K1000KSE +/- 1979.12, N = 3SE +/- 293.65, N = 3SE +/- 3396.18, N = 39471329502949507861. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromePrefer CacheAutoPrefer Freq246810SE +/- 0.08, N = 15SE +/- 0.09, N = 3SE +/- 0.09, N = 37.367.247.041. chrome 110.0.5481.96

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromePrefer CacheAutoPrefer Freq80160240320400SE +/- 2.08, N = 3SE +/- 2.65, N = 3SE +/- 4.91, N = 33673683691. chrome 110.0.5481.96

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeAutoPrefer FreqPrefer Cache20K40K60K80K100KSE +/- 950.48, N = 15SE +/- 958.51, N = 6SE +/- 916.53, N = 159509995543956441. chrome 110.0.5481.96

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromePrefer FreqPrefer CacheAuto70140210280350SE +/- 4.12, N = 3SE +/- 3.84, N = 4SE +/- 3.14, N = 3325.83326.22333.011. chrome 110.0.5481.96

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromePrefer FreqPrefer CacheAuto0.83251.6652.49753.334.1625SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 43.73.73.71. chrome 110.0.5481.96

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeAutoPrefer FreqPrefer Cache7001400210028003500SE +/- 42.95, N = 15SE +/- 33.73, N = 15SE +/- 42.76, N = 153139312431031. chrome 110.0.5481.96

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeAutoPrefer CachePrefer Freq50100150200250SE +/- 2.67, N = 15SE +/- 2.79, N = 15SE +/- 2.69, N = 15230.10229.09228.641. chrome 110.0.5481.96

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromePrefer CacheAutoPrefer Freq510152025SE +/- 0.30, N = 15SE +/- 0.38, N = 15SE +/- 0.37, N = 1519.3318.8418.641. chrome 110.0.5481.96

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromePrefer CacheAutoPrefer Freq80160240320400SE +/- 3.24, N = 3SE +/- 3.39, N = 15SE +/- 3.94, N = 15373.2373.2372.81. chrome 110.0.5481.96

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: PartialTweetsPrefer CachePrefer FreqAuto246810SE +/- 0.00, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 37.598.538.641. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomAutoPrefer CachePrefer Freq0.42530.85061.27591.70122.1265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.701.871.891. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaAutoPrefer FreqPrefer Cache246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.545.906.041. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDAutoPrefer CachePrefer Freq3691215SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 39.149.1510.061. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetAutoPrefer CachePrefer Freq3691215SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 38.839.579.731. (CXX) g++ options: -O3

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Prefer FreqAutoPrefer Cache816243240SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 336.0934.8434.521. (CC) gcc options: -O2 -lz

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMPrefer FreqPrefer CacheAuto140280420560700SE +/- 4.08, N = 5SE +/- 6.69, N = 15SE +/- 2.33, N = 5563.6571.6633.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMPrefer FreqPrefer CacheAuto60120180240300SE +/- 1.29, N = 5SE +/- 3.75, N = 15SE +/- 0.89, N = 5215.9220.7254.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMPrefer CachePrefer FreqAuto150300450600750SE +/- 1.16, N = 4SE +/- 1.49, N = 4SE +/- 5.81, N = 5610.4613.0675.61. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMPrefer CachePrefer FreqAuto60120180240300SE +/- 0.71, N = 4SE +/- 0.87, N = 4SE +/- 2.41, N = 5222.5223.1264.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMPrefer CacheAutoPrefer Freq140280420560700SE +/- 0.12, N = 3SE +/- 6.79, N = 4SE +/- 1.65, N = 3566.3622.6633.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMPrefer CacheAutoPrefer Freq50100150200250SE +/- 0.47, N = 3SE +/- 1.95, N = 4SE +/- 0.67, N = 3204.9242.3243.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMAutoPrefer CachePrefer Freq150300450600750SE +/- 3.55, N = 3SE +/- 7.08, N = 15SE +/- 2.79, N = 3609.2622.3682.21. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMAutoPrefer CachePrefer Freq60120180240300SE +/- 1.33, N = 3SE +/- 3.93, N = 15SE +/- 0.99, N = 3215.3223.1256.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMAutoPrefer CachePrefer Freq50100150200250SE +/- 0.39, N = 5SE +/- 1.36, N = 15SE +/- 2.19, N = 5191.2191.6211.51. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMPrefer CacheAutoPrefer Freq306090120150SE +/- 0.93, N = 15SE +/- 0.19, N = 5SE +/- 1.16, N = 5126.3127.7143.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestAutoPrefer CachePrefer Freq50M100M150M200M250MSE +/- 2423625.04, N = 4SE +/- 1311911.24, N = 3SE +/- 2069084.61, N = 32026250002043666672411666671. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

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: 512Prefer CacheAutoPrefer Freq246810SE +/- 0.057662, N = 3SE +/- 0.076546, N = 3SE +/- 0.040332, N = 37.3244517.3394467.3914931. (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: 1024AutoPrefer CachePrefer Freq246810SE +/- 0.034705, N = 3SE +/- 0.002520, N = 3SE +/- 0.007132, N = 37.9263237.9772557.9966411. (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: 512Prefer FreqAutoPrefer Cache246810SE +/- 0.049732, N = 3SE +/- 0.071291, N = 3SE +/- 0.018306, N = 37.1955167.1964017.2085991. (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: 1024Prefer CacheAutoPrefer Freq246810SE +/- 0.016609, N = 3SE +/- 0.032079, N = 3SE +/- 0.035806, N = 37.7263967.7267387.7432601. (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: 512Prefer FreqPrefer CacheAuto1.18242.36483.54724.72965.912SE +/- 0.035122, N = 3SE +/- 0.017595, N = 3SE +/- 0.033936, N = 35.1816075.1935285.2552891. (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: 1024Prefer FreqPrefer CacheAuto1.25122.50243.75365.00486.256SE +/- 0.026611, N = 3SE +/- 0.052075, N = 3SE +/- 0.032795, N = 35.5064675.5499725.5609091. (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: 512Prefer FreqAutoPrefer Cache0.74411.48822.23232.97643.7205SE +/- 0.028257, N = 7SE +/- 0.026295, N = 3SE +/- 0.017434, N = 33.2423173.2808743.3072511. (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: 1024Prefer CachePrefer FreqAuto0.82341.64682.47023.29364.117SE +/- 0.006243, N = 3SE +/- 0.021337, N = 3SE +/- 0.014082, N = 33.6374613.6545593.6594831. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU StressPrefer FreqAutoPrefer Cache13K26K39K52K65KSE +/- 352.22, N = 3SE +/- 307.96, N = 3SE +/- 137.26, N = 356651.5358780.7558865.011. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CryptoAutoPrefer CachePrefer Freq9K18K27K36K45KSE +/- 19.05, N = 3SE +/- 82.33, N = 3SE +/- 33.31, N = 343690.4043716.1343758.761. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Memory CopyingPrefer FreqPrefer CacheAuto15003000450060007500SE +/- 19.10, N = 3SE +/- 23.08, N = 3SE +/- 59.45, N = 97077.097097.397172.311. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingAutoPrefer CachePrefer Freq80160240320400SE +/- 0.71, N = 3SE +/- 1.15, N = 3SE +/- 0.94, N = 3368.05371.84373.081. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsAutoPrefer FreqPrefer Cache1000K2000K3000K4000K5000KSE +/- 4595.10, N = 3SE +/- 46384.47, N = 3SE +/- 55352.76, N = 34554878.754613558.354616386.561. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Vector MathPrefer CacheAutoPrefer Freq30K60K90K120K150KSE +/- 118.20, N = 3SE +/- 98.70, N = 3SE +/- 73.54, N = 3137735.11138021.66138137.061. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Matrix MathAutoPrefer CachePrefer Freq30K60K90K120K150KSE +/- 105.15, N = 3SE +/- 79.62, N = 3SE +/- 688.41, N = 3122833.10122869.22123819.501. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: ForkingPrefer FreqPrefer CacheAuto16K32K48K64K80KSE +/- 268.01, N = 3SE +/- 174.31, N = 3SE +/- 262.93, N = 372995.0473184.0473511.841. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: System V Message PassingPrefer FreqAutoPrefer Cache6M12M18M24M30MSE +/- 15666.97, N = 3SE +/- 221720.67, N = 7SE +/- 518902.00, N = 1525052017.7325423648.1425978492.771. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SemaphoresAutoPrefer CachePrefer Freq700K1400K2100K2800K3500KSE +/- 32095.22, N = 7SE +/- 214.95, N = 3SE +/- 783.77, N = 33423759.333476176.553476539.491. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Socket ActivityAutoPrefer CachePrefer Freq8K16K24K32K40KSE +/- 433.26, N = 15SE +/- 279.96, N = 15SE +/- 393.19, N = 1534995.7835308.6335444.421. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: AtomicPrefer CachePrefer FreqAuto50K100K150K200K250KSE +/- 84.51, N = 3SE +/- 147.40, N = 3SE +/- 178.50, N = 3212454.76212527.91212936.161. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU CachePrefer FreqPrefer CacheAuto4080120160200SE +/- 0.31, N = 6SE +/- 1.74, N = 15SE +/- 3.49, N = 1531.91181.06183.321. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MallocAutoPrefer FreqPrefer Cache8M16M24M32M40MSE +/- 130418.56, N = 3SE +/- 10732.17, N = 3SE +/- 50781.26, N = 335942000.7636014622.7336157266.331. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MEMFDPrefer CachePrefer FreqAuto30060090012001500SE +/- 2.63, N = 3SE +/- 3.18, N = 3SE +/- 2.10, N = 31266.521276.151281.141. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MMAPPrefer CacheAutoPrefer Freq80160240320400SE +/- 0.19, N = 3SE +/- 0.60, N = 3SE +/- 0.31, N = 3379.53381.21381.371. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: NUMAPrefer CacheAutoPrefer Freq130260390520650SE +/- 3.65, N = 13SE +/- 3.50, N = 14SE +/- 4.86, N = 13576.94578.01581.601. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Test: x86_64 RdRand

Auto: The test run did not produce a result. E: stress-ng: error: [982014] No stress workers invoked (one or more were unsupported)

Prefer Cache: The test run did not produce a result. E: stress-ng: error: [943105] No stress workers invoked (one or more were unsupported)

Prefer Freq: The test run did not produce a result. E: stress-ng: error: [939716] No stress workers invoked (one or more were unsupported)

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SENDFILEAutoPrefer CachePrefer Freq100K200K300K400K500KSE +/- 821.42, N = 3SE +/- 398.35, N = 3SE +/- 3764.61, N = 3484816.52485658.97489525.421. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: IO_uringPrefer FreqPrefer CacheAuto7K14K21K28K35KSE +/- 283.23, N = 12SE +/- 592.21, N = 14SE +/- 645.93, N = 1529496.7631486.8232571.401. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: FutexAutoPrefer CachePrefer Freq900K1800K2700K3600K4500KSE +/- 41048.77, N = 3SE +/- 54535.09, N = 3SE +/- 37858.78, N = 74087777.654120615.704134347.271. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MutexPrefer FreqAutoPrefer Cache2M4M6M8M10MSE +/- 29801.71, N = 3SE +/- 41091.60, N = 3SE +/- 82230.41, N = 311172285.0011172291.2911230656.991. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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 1080pPrefer CacheAutoPrefer Freq2004006008001000SE +/- 4.51, N = 15SE +/- 4.42, N = 15SE +/- 4.32, N = 15787.79789.95796.321. (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 4KPrefer CachePrefer FreqAuto50100150200250SE +/- 3.44, N = 15SE +/- 3.40, N = 15SE +/- 3.51, N = 15209.86209.98211.001. (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 1080pPrefer FreqAutoPrefer Cache170340510680850SE +/- 1.28, N = 13SE +/- 3.12, N = 13SE +/- 1.73, N = 13771.61772.34773.411. (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 4KPrefer FreqPrefer CacheAuto50100150200250SE +/- 0.30, N = 9SE +/- 0.53, N = 9SE +/- 0.30, N = 9212.52213.53214.071. (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 1080pAutoPrefer CachePrefer Freq4080120160200SE +/- 0.63, N = 9SE +/- 0.51, N = 9SE +/- 0.49, N = 9193.76194.84195.811. (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 4KAutoPrefer CachePrefer Freq1632486480SE +/- 0.21, N = 5SE +/- 0.17, N = 5SE +/- 0.12, N = 570.0970.3970.481. (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 1080pPrefer CacheAutoPrefer Freq48121620SE +/- 0.05, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 414.4014.4214.471. (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 4KAutoPrefer FreqPrefer Cache1.1952.393.5854.785.975SE +/- 0.009, N = 3SE +/- 0.016, N = 3SE +/- 0.018, N = 35.2965.2985.3111. (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: 1 - Input: Bosphorus 1080pPrefer CacheAutoPrefer Freq510152025SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 322.6422.6622.731. (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 4KAutoPrefer CachePrefer Freq1.30952.6193.92855.2386.5475SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.805.805.821. (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 1080pAutoPrefer CachePrefer Freq70140210280350SE +/- 0.39, N = 10SE +/- 0.72, N = 10SE +/- 0.30, N = 10305.83306.62308.041. (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 4KPrefer FreqAutoPrefer Cache20406080100SE +/- 0.10, N = 6SE +/- 0.12, N = 6SE +/- 0.21, N = 6101.09101.10101.101. (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 1080pPrefer FreqPrefer CacheAuto130260390520650SE +/- 1.08, N = 12SE +/- 1.13, N = 12SE +/- 1.15, N = 12591.01591.30592.131. (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 4KAutoPrefer FreqPrefer Cache4080120160200SE +/- 0.36, N = 8SE +/- 0.34, N = 8SE +/- 0.10, N = 8174.66174.93174.961. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -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 1080pPrefer CacheAutoPrefer Freq80160240320400SE +/- 1.35, N = 11SE +/- 1.44, N = 11SE +/- 1.24, N = 15382.65383.36384.341. (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 4KAutoPrefer CachePrefer Freq20406080100SE +/- 0.76, N = 15SE +/- 0.75, N = 15SE +/- 0.77, N = 15109.37109.57109.761. (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 1080pPrefer CacheAutoPrefer Freq100200300400500SE +/- 0.64, N = 12SE +/- 0.50, N = 12SE +/- 0.43, N = 12457.94458.64459.411. (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 4KAutoPrefer CachePrefer Freq306090120150SE +/- 0.17, N = 7SE +/- 0.11, N = 7SE +/- 0.18, N = 7126.22126.34126.631. (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 1080pPrefer CacheAutoPrefer Freq100200300400500SE +/- 0.89, N = 12SE +/- 0.41, N = 12SE +/- 0.64, N = 12446.12449.83450.471. (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 4KAutoPrefer CachePrefer Freq306090120150SE +/- 0.16, N = 7SE +/- 0.23, N = 7SE +/- 0.22, N = 7117.84117.97118.001. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUPrefer CacheAutoPrefer Freq20K40K60K80K100KSE +/- 67.91, N = 3SE +/- 81.18, N = 3SE +/- 32.58, N = 3107434.06107446.97107729.781. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / MemoryPrefer CachePrefer FreqAuto3K6K9K12K15KSE +/- 53.25, N = 6SE +/- 62.18, N = 6SE +/- 52.79, N = 612696.4112712.2412821.251. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

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 TimePrefer CacheAutoPrefer Freq1326395265SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 359.1058.9958.961. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatPrefer CachePrefer FreqAuto2004006008001000SE +/- 2.07, N = 3SE +/- 0.75, N = 3SE +/- 1.48, N = 31109.841108.321108.20

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantPrefer FreqAutoPrefer Cache30060090012001500SE +/- 8.09, N = 3SE +/- 6.58, N = 3SE +/- 1.70, N = 31627.871626.401622.75

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4AutoPrefer FreqPrefer Cache4K8K12K16K20KSE +/- 16.88, N = 3SE +/- 12.93, N = 3SE +/- 15.43, N = 317797.317769.517748.5

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 CompileAutoPrefer FreqPrefer Cache510152025SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 321.9621.8521.82

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 CompilePrefer CacheAutoPrefer Freq1122334455SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 349.4549.3849.37

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: defconfigAutoPrefer FreqPrefer Cache1122334455SE +/- 0.31, N = 3SE +/- 0.30, N = 3SE +/- 0.32, N = 346.5746.4346.19

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigAutoPrefer FreqPrefer Cache110220330440550SE +/- 0.26, N = 3SE +/- 0.32, N = 3SE +/- 0.45, N = 3523.31519.52517.73

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: NinjaAutoPrefer CachePrefer Freq60120180240300SE +/- 0.14, N = 3SE +/- 0.39, N = 3SE +/- 0.26, N = 3252.37252.32252.07

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesAutoPrefer CachePrefer Freq60120180240300SE +/- 0.94, N = 3SE +/- 3.72, N = 3SE +/- 2.01, N = 3285.53282.59276.21

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 CompilePrefer CachePrefer FreqAuto510152025SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 321.4421.3021.21

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 CompilePrefer CacheAutoPrefer Freq48121620SE +/- 0.07, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 415.3515.3415.26

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisPrefer FreqAutoPrefer Cache1632486480SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 370.4170.3870.341. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline

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: DenseNetAutoPrefer FreqPrefer Cache400800120016002000SE +/- 5.47, N = 3SE +/- 6.39, N = 3SE +/- 2.74, N = 32035.162028.842027.28MIN: 1988.46 / MAX: 2119.14MIN: 1972.23 / MAX: 2118.4MIN: 1978.04 / MAX: 2109.641. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2AutoPrefer CachePrefer Freq4080120160200SE +/- 0.08, N = 4SE +/- 1.59, N = 9SE +/- 0.45, N = 4192.28192.25191.66MIN: 190.51 / MAX: 200.26MIN: 185.61 / MAX: 215.47MIN: 189.14 / MAX: 202.51. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1Prefer CachePrefer FreqAuto4080120160200SE +/- 1.78, N = 4SE +/- 0.45, N = 4SE +/- 0.42, N = 4175.72174.63174.11MIN: 172.53 / MAX: 179.14MIN: 173.65 / MAX: 179.74MIN: 173.47 / MAX: 175.491. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2Prefer FreqAutoPrefer Cache1020304050SE +/- 0.43, N = 15SE +/- 0.36, N = 15SE +/- 0.35, N = 943.3642.8442.25MIN: 39.83 / MAX: 47.05MIN: 39.8 / MAX: 45.69MIN: 40.19 / MAX: 43.451. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzPrefer CachePrefer FreqAuto3691215SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.09, N = 410.7810.7210.49

Unpacking The Linux Kernel

This test measures how long it takes to extract the .tar.xz Linux kernel source tree package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernel 5.19linux-5.19.tar.xzPrefer FreqPrefer CacheAuto0.91221.82442.73663.64884.561SE +/- 0.011, N = 8SE +/- 0.033, N = 9SE +/- 0.030, N = 84.0544.0073.953

VP9 libvpx Encoding

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pAutoPrefer FreqPrefer Cache918273645SE +/- 0.20, N = 4SE +/- 0.18, N = 4SE +/- 0.08, N = 439.8039.8340.341. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4KPrefer FreqPrefer CacheAuto510152025SE +/- 0.19, N = 3SE +/- 0.24, N = 5SE +/- 0.27, N = 321.9922.2022.681. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq510152025SE +/- 0.25, N = 4SE +/- 0.26, N = 3SE +/- 0.28, N = 320.1620.3520.391. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 4KPrefer CacheAutoPrefer Freq3691215SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 310.0610.1010.181. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

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: DefaultPrefer FreqPrefer CacheAuto714212835SE +/- 0.30, N = 15SE +/- 0.02, N = 13SE +/- 0.07, N = 1326.5727.9228.121. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Prefer CachePrefer FreqAuto48121620SE +/- 0.18, N = 15SE +/- 0.11, N = 12SE +/- 0.14, N = 1516.9517.1617.441. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionPrefer FreqAutoPrefer Cache1.24432.48863.73294.97726.2215SE +/- 0.07, N = 15SE +/- 0.01, N = 8SE +/- 0.01, N = 85.325.465.531. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessPrefer FreqPrefer CacheAuto0.51531.03061.54592.06122.5765SE +/- 0.03, N = 15SE +/- 0.02, N = 5SE +/- 0.01, N = 52.232.272.291. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionAutoPrefer CachePrefer Freq0.1890.3780.5670.7560.945SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.830.840.841. (CC) gcc options: -fvisibility=hidden -O2 -lm

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestAutoPrefer FreqPrefer Cache306090120150SE +/- 0.72, N = 3SE +/- 1.81, N = 3SE +/- 1.26, N = 3149.04148.63147.19

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 1080pAutoPrefer CachePrefer Freq60120180240300SE +/- 2.12, N = 10SE +/- 1.51, N = 15SE +/- 1.82, N = 15268.24268.80269.521. (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 4KAutoPrefer FreqPrefer Cache1632486480SE +/- 0.68, N = 15SE +/- 0.71, N = 15SE +/- 0.72, N = 1571.3971.7871.791. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

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 1080pAutoPrefer FreqPrefer Cache306090120150SE +/- 0.17, N = 7SE +/- 0.26, N = 7SE +/- 0.22, N = 7113.23113.42113.591. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KAutoPrefer CachePrefer Freq816243240SE +/- 0.24, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 334.2834.6434.651. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 DirectionAutoPrefer CachePrefer Freq48121620SE +/- 0.14, N = 6SE +/- 0.15, N = 4SE +/- 0.09, N = 414.9514.6714.621. (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 193 Cells Per DirectionPrefer FreqPrefer CacheAuto1428425670SE +/- 0.39, N = 3SE +/- 0.70, N = 4SE +/- 0.26, N = 361.3460.8260.471. (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

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: 1MPrefer FreqAutoPrefer Cache3K6K9K12K15KSE +/- 52.59, N = 3SE +/- 84.38, N = 3SE +/- 57.72, N = 316109.416134.416231.91. (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: 1MPrefer CacheAutoPrefer Freq4K8K12K16K20KSE +/- 7.50, N = 3SE +/- 24.03, N = 3SE +/- 18.99, N = 319605.419626.119658.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression SpeedPrefer CachePrefer FreqAuto9001800270036004500SE +/- 26.15, N = 3SE +/- 29.94, N = 3SE +/- 20.17, N = 33967.54023.54033.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression SpeedPrefer FreqAutoPrefer Cache5001000150020002500SE +/- 7.91, N = 3SE +/- 2.23, N = 3SE +/- 3.70, N = 32193.42198.62210.71. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression SpeedPrefer FreqAutoPrefer Cache30060090012001500SE +/- 7.52, N = 3SE +/- 1.91, N = 3SE +/- 9.62, N = 31405.51418.11423.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression SpeedPrefer CacheAutoPrefer Freq5001000150020002500SE +/- 58.56, N = 3SE +/- 10.66, N = 3SE +/- 2.30, N = 32158.62252.52267.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedPrefer CachePrefer FreqAuto2004006008001000SE +/- 11.34, N = 5SE +/- 6.16, N = 3SE +/- 5.17, N = 31046.41046.81051.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedAutoPrefer FreqPrefer Cache5001000150020002500SE +/- 2.63, N = 3SE +/- 9.76, N = 3SE +/- 13.16, N = 52414.12423.12428.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedPrefer CachePrefer FreqAuto2004006008001000SE +/- 4.68, N = 3SE +/- 1.70, N = 3SE +/- 5.38, N = 31012.01012.91015.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedPrefer CachePrefer FreqAuto5001000150020002500SE +/- 6.75, N = 3SE +/- 3.64, N = 3SE +/- 6.20, N = 32410.12417.32433.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedAutoPrefer FreqPrefer Cache70140210280350SE +/- 1.64, N = 3SE +/- 2.19, N = 3SE +/- 1.82, N = 3296.0297.9299.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedPrefer FreqPrefer CacheAuto5001000150020002500SE +/- 23.52, N = 3SE +/- 10.59, N = 3SE +/- 14.86, N = 32469.82476.52485.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedPrefer FreqPrefer CacheAuto612182430SE +/- 0.35, N = 15SE +/- 0.28, N = 15SE +/- 0.22, N = 1525.425.926.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedPrefer CachePrefer FreqAuto400800120016002000SE +/- 2.99, N = 15SE +/- 22.67, N = 15SE +/- 26.46, N = 151949.11990.62004.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedPrefer CacheAutoPrefer Freq48121620SE +/- 0.15, N = 15SE +/- 0.00, N = 3SE +/- 0.06, N = 314.614.914.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedPrefer FreqPrefer CacheAuto400800120016002000SE +/- 10.27, N = 3SE +/- 17.36, N = 15SE +/- 53.52, N = 31835.11847.01968.01. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

407 Results Shown

7-Zip Compression:
  Compression Rating
  Decompression Rating
ACES DGEMM
Algebraic Multi-Grid Benchmark
AOM AV1:
  Speed 10 Realtime - Bosphorus 1080p
  Speed 10 Realtime - Bosphorus 4K
  Speed 9 Realtime - Bosphorus 1080p
  Speed 9 Realtime - Bosphorus 4K
  Speed 8 Realtime - Bosphorus 1080p
  Speed 8 Realtime - Bosphorus 4K
  Speed 6 Realtime - Bosphorus 1080p
  Speed 6 Realtime - Bosphorus 4K
  Speed 6 Two-Pass - Bosphorus 1080p
  Speed 6 Two-Pass - Bosphorus 4K
  Speed 4 Two-Pass - Bosphorus 1080p
  Speed 4 Two-Pass - Bosphorus 4K
  Speed 0 Two-Pass - Bosphorus 1080p
  Speed 0 Two-Pass - Bosphorus 4K
Appleseed:
  Emily
  Disney Material
  Material Tester
ASKAP:
  tConvolve OpenMP - Gridding
  tConvolve OpenMP - Degridding
  tConvolve MT - Gridding
  tConvolve MT - Degridding
  Hogbom Clean OpenMP
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
BRL-CAD
Build2
Chaos Group V-RAY
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
Cpuminer-Opt:
  scrypt
  Triple SHA-256, Onecoin
  Quad SHA-256, Pyrite
  Myriad-Groestl
  Magi
  x25x
  Garlicoin
  Ringcoin
  Deepcoin
  Skeincoin
  LBC, LBRY Credits
Crafty
DaCapo Benchmark:
  H2
  Jython
Darktable:
  Boat - CPU-only
  Masskrug - CPU-only
  Server Room - CPU-only
  Server Rack - CPU-only
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
DeepSpeech
Dolfyn
Embree:
  Pathtracer - Asian Dragon
  Pathtracer - Crown
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Crown
Gcrypt Library
GEGL:
  Rotate 90 Degrees
  Scale
  Antialias
  Cartoon
  Color Enhance
  Crop
  Wavelet Blur
  Reflect
  Tile Glass
GIMP:
  unsharp-mask
  resize
  rotate
  auto-levels
GNU Octave Benchmark
GNU Radio:
  Five Back to Back FIR Filters
  Signal Source (Cosine)
  FIR Filter
  IIR Filter
  FM Deemphasis Filter
  Hilbert Transform
Google Draco:
  Church Facade
  Lion
GPAW
GraphicsMagick:
  HWB Color Space
  Noise-Gaussian
  Enhanced
  Resizing
  Rotate
  Sharpen
  Swirl
GROMACS
High Performance Conjugate Gradient
Himeno Benchmark
IndigoBench:
  CPU - Supercar
  CPU - Bedroom
KTX-Software toktx:
  Zstd Compression 19
  UASTC 3
  UASTC 3 + Zstd Compression 19
  UASTC 4 + Zstd Compression 19
Kvazaar:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
LAME MP3 Encoding
LAMMPS Molecular Dynamics Simulator:
  Rhodopsin Protein
  20k Atoms
LeelaChessZero:
  BLAS
  Eigen
libavif avifenc:
  0
  2
  6
  6, Lossless
  10, Lossless
libjpeg-turbo tjbench
Liquid-DSP:
  8 - 256 - 57
  16 - 256 - 57
  32 - 256 - 57
LuaRadio:
  Five Back to Back FIR Filters
  FM Deemphasis Filter
  Hilbert Transform
  Complex Phase
LULESH
LuxCoreRender:
  DLSC - CPU
  Rainbow Colors and Prism - CPU
  LuxCore Benchmark - CPU
  Orange Juice - CPU
  Danish Mood - CPU
LZ4 Compression:
  1 - Compression Speed
  1 - Decompression Speed
  3 - Compression Speed
  3 - Decompression Speed
  9 - Compression Speed
  9 - Decompression Speed
m-queens
N-Queens
NAMD
Natron
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
  CPU - mnasnet
Node.js Express HTTP Load Test
Node.js V8 Web Tooling Benchmark
Numenta Anomaly Benchmark:
  Bayesian Changepoint
  Windowed Gaussian
  Relative Entropy
  Earthgecko Skyline
  KNN CAD
  Contextual Anomaly Detector OSE
Numpy Benchmark
oneDNN:
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
ONNX Runtime:
  yolov4 - CPU - Standard
  fcn-resnet101-11 - CPU - Standard
  super-resolution-10 - CPU - Standard
  bertsquad-12 - CPU - Standard
  GPT-2 - CPU - Standard
  ArcFace ResNet-100 - CPU - Standard
  ResNet50 v1-12-int8 - CPU - Standard
  Faster R-CNN R-50-FPN-int8 - CPU - Standard
OpenEMS
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
OpenVKL:
  vklBenchmark Scalar
  vklBenchmark ISPC
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
  particle_volume/pathtracer/real_time
OSPRay Studio:
  1 - 1080p - 1 - Path Tracer
  1 - 1080p - 32 - Path Tracer
  1 - 4K - 1 - Path Tracer
  1 - 4K - 32 - Path Tracer
  2 - 1080p - 1 - Path Tracer
  2 - 1080p - 32 - Path Tracer
  2 - 4K - 1 - Path Tracer
  2 - 4K - 32 - Path Tracer
  3 - 1080p - 1 - Path Tracer
  3 - 1080p - 32 - Path Tracer
  3 - 4K - 1 - Path Tracer
  3 - 4K - 32 - Path Tracer
Pennant:
  leblancbig
  sedovbig
PHPBench
Primesieve:
  1e12
  1e13
PyBench
PyHPC Benchmarks:
  CPU - Numpy - 1048576 - Equation of State
  CPU - Numpy - 1048576 - Isoneutral Mixing
  CPU - Numpy - 4194304 - Equation of State
  CPU - Numpy - 4194304 - Isoneutral Mixing
QuantLib
Radiance Benchmark:
  Serial
  SMP Parallel
rav1e:
  10
  6
  5
  1
RawTherapee
Renaissance:
  Akka Unbalanced Cobwebbed Tree
  Savina Reactors.IO
  Apache Spark ALS
  Rand Forest
  Apache Spark Bayes
  Apache Spark PageRank
  Scala Dotty
  Finagle HTTP Requests
  Genetic Algorithm Using Jenetics + Futures
  ALS Movie Lens
RNNoise
RocksDB:
  Seq Fill
  Rand Fill
  Rand Fill Sync
  Rand Read
  Read While Writing
  Read Rand Write Rand
  Update Rand
Selenium:
  ARES-6 - Google Chrome
  Speedometer - Google Chrome
  Octane - Google Chrome
  Jetstream 2 - Google Chrome
  Maze Solver - Google Chrome
  PSPDFKit WASM - Google Chrome
  WASM collisionDetection - Google Chrome
  WASM imageConvolute - Google Chrome
  Kraken - Google Chrome
simdjson:
  PartialTweets
  LargeRand
  Kostya
  DistinctUserID
  TopTweet
SQLite Speedtest
srsRAN:
  4G PHY_DL_Test 100 PRB SISO 64-QAM:
    eNb Mb/s
    UE Mb/s
  4G PHY_DL_Test 100 PRB SISO 256-QAM:
    eNb Mb/s
    UE Mb/s
  4G PHY_DL_Test 100 PRB MIMO 64-QAM:
    eNb Mb/s
    UE Mb/s
  4G PHY_DL_Test 100 PRB MIMO 256-QAM:
    eNb Mb/s
    UE Mb/s
  5G PHY_DL_NR Test 52 PRB SISO 64-QAM:
    eNb Mb/s
    UE Mb/s
  OFDM_Test:
    Samples / Second
Stargate Digital Audio Workstation:
  44100 - 512
  44100 - 1024
  480000 - 512
  480000 - 1024
  96000 - 512
  96000 - 1024
  192000 - 512
  192000 - 1024
Stress-NG:
  CPU Stress
  Crypto
  Memory Copying
  Glibc Qsort Data Sorting
  Glibc C String Functions
  Vector Math
  Matrix Math
  Forking
  System V Message Passing
  Semaphores
  Socket Activity
  Atomic
  CPU Cache
  Malloc
  MEMFD
  MMAP
  NUMA
  SENDFILE
  IO_uring
  Futex
  Mutex
SVT-AV1:
  Preset 13 - Bosphorus 1080p
  Preset 13 - Bosphorus 4K
  Preset 12 - Bosphorus 1080p
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 1080p
  Preset 8 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
  Preset 4 - Bosphorus 4K
SVT-HEVC:
  1 - Bosphorus 1080p
  1 - Bosphorus 4K
  7 - Bosphorus 1080p
  7 - Bosphorus 4K
  10 - Bosphorus 1080p
  10 - Bosphorus 4K
SVT-VP9:
  Visual Quality Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 4K
  PSNR/SSIM Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 4K
  VMAF Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 4K
Sysbench:
  CPU
  RAM / Memory
Tachyon
TensorFlow Lite:
  Mobilenet Float
  Mobilenet Quant
  Inception V4
Timed FFmpeg Compilation
Timed Godot Game Engine Compilation
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed Mesa Compilation
Timed MPlayer Compilation
Timed MrBayes Analysis
TNN:
  CPU - DenseNet
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
  CPU - SqueezeNet v2
Unpacking Firefox
Unpacking The Linux Kernel
VP9 libvpx Encoding:
  Speed 5 - Bosphorus 1080p
  Speed 5 - Bosphorus 4K
  Speed 0 - Bosphorus 1080p
  Speed 0 - Bosphorus 4K
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Highest Compression
  Quality 100, Lossless
  Quality 100, Lossless, Highest Compression
WireGuard + Linux Networking Stack Stress Test
x264:
  Bosphorus 1080p
  Bosphorus 4K
x265:
  Bosphorus 1080p
  Bosphorus 4K
Xcompact3d Incompact3d:
  input.i3d 129 Cells Per Direction
  input.i3d 193 Cells Per Direction
Xmrig:
  Monero - 1M
  Wownero - 1M
Zstd Compression:
  3 - Compression Speed
  3 - Decompression Speed
  3, Long Mode - Compression Speed
  3, Long Mode - Decompression Speed
  8 - Compression Speed
  8 - Decompression Speed
  8, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  12 - Compression Speed
  12 - Decompression Speed
  19 - Compression Speed
  19 - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed