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 Linuxstress-ng: CPU Stressstress-ng: IO_uringstress-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: MMAPstress-ng: Mallocstress-ng: MEMFDstress-ng: NUMAstress-ng: SENDFILEstress-ng: Futexstress-ng: Mutexsrsran: 4G PHY_DL_Test 100 PRB SISO 64-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 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsysbench: CPUamg: openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitnatron: Spaceshipaom-av1: Speed 10 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 1080paom-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 4Kkvazaar: 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 Fastsvt-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 4Kvpxenc: Speed 5 - Bosphorus 1080pvpxenc: Speed 5 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 1080pvpxenc: Speed 0 - Bosphorus 4Kx264: Bosphorus 1080px264: Bosphorus 4Kx265: Bosphorus 1080px265: Bosphorus 4Kembree: Pathtracer - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownrav1e: 10rav1e: 6rav1e: 5rav1e: 1simdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetselenium: Octane - Google Chromehpcg: mt-dgemm: Sustained Floating-Point Ratexmrig: Monero - 1Mxmrig: Wownero - 1Monnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardopenvkl: 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_timegraphics-magick: HWB Color Spacegraphics-magick: Swirlgraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Rotategraphics-magick: Sharpenaskap: Hogbom Clean OpenMPcpuminer-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 Creditsindigobench: CPU - Supercarindigobench: CPU - Bedroomluxcorerender: DLSC - CPUluxcorerender: Orange Juice - CPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Danish Mood - CPUcompress-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 Speedcompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedopenems: pyEMS Couplertjbench: Decompression Throughputquantlib: himeno: Poisson Pressure Solvergnuradio: Five Back to Back FIR Filtersgnuradio: Signal Source (Cosine)gnuradio: FIR Filtergnuradio: IIR Filtergnuradio: FM Deemphasis Filtergnuradio: Hilbert Transformluaradio: Five Back to Back FIR Filtersluaradio: FM Deemphasis Filterluaradio: Hilbert Transformluaradio: Complex Phasesysbench: RAM / Memoryaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingwebp: Defaultwebp: Quality 100webp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Quality 100, Lossless, Highest Compressionastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivelczero: BLASlczero: Eigencrafty: Elapsed Timegromacs: MPI CPU - water_GMX50_barelammps: Rhodopsin Proteinlammps: 20k Atomsrocksdb: Seq Fillrocksdb: Rand Fillrocksdb: Rand Fill Syncrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runstargate: 44100 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 480000 - 1024stargate: 96000 - 512stargate: 96000 - 1024stargate: 192000 - 512stargate: 192000 - 1024node-express-loadtest: selenium: Speedometer - Google Chromenode-web-tooling: srsran: OFDM_Testliquid-dsp: 8 - 256 - 57liquid-dsp: 16 - 256 - 57liquid-dsp: 32 - 256 - 57phpbench: PHP Benchmark Suiteselenium: Jetstream 2 - Google Chromenumpy: srsran: 4G PHY_DL_Test 100 PRB SISO 64-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 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMbrl-cad: VGR Performance Metricv-ray: CPUlulesh: namd: ATPase Simulation - 327,506 Atomspennant: leblancbigpennant: sedovbigonnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardtensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception V4pybench: Total For Average Test Timesopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUospray-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 Traceronednn: 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 - CPUncnn: 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 - mnasnetdraco: Church Facadedraco: Lionselenium: ARES-6 - Google Chromeselenium: WASM collisionDetection - Google Chromeselenium: WASM imageConvolute - Google Chromeselenium: Kraken - Google Chromerenaissance: 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 Lenstnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2dacapobench: H2dacapobench: Jythonselenium: PSPDFKit WASM - Google Chromerawtherapee: Total Benchmark Timedarktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Server Room - CPU-onlydarktable: Server Rack - CPU-onlygimp: unsharp-maskgimp: resizegimp: rotategimp: auto-levelsopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directiongegl: Rotate 90 Degreesgegl: Scalegegl: Antialiasgegl: Cartoongegl: Color Enhancegegl: Cropgegl: Wavelet Blurgegl: Reflectgegl: Tile Glasstoktx: Zstd Compression 19toktx: UASTC 3toktx: UASTC 3 + Zstd Compression 19toktx: UASTC 4 + Zstd Compression 19gpaw: Carbon Nanotubernnoise: octave-benchmark: selenium: Maze Solver - Google Chrometachyon: Total Timeavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-godot: Time To Compilebuild-mesa: Time To Compilebuild-ffmpeg: Time To Compilebuild-mplayer: Time To Compilenumenta-nab: Bayesian Changepointnumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: Earthgecko Skylinenumenta-nab: KNN CADnumenta-nab: Contextual Anomaly Detector OSEblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlydeepspeech: CPUdolfyn: Computational Fluid Dynamicsradiance: Serialradiance: SMP Parallelwireguard: sqlite-speedtest: Timed Time - Size 1,000gcrypt: encode-mp3: WAV To MP3appleseed: Emilyappleseed: Disney Materialappleseed: Material Testerbuild2: Time To Compileprimesieve: 1e12primesieve: 1e13n-queens: Elapsed Timem-queens: Time To Solveunpack-linux: linux-5.19.tar.xzunpack-firefox: firefox-84.0.source.tar.xzpyhpc: CPU - Numpy - 1048576 - Equation of Statepyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingpyhpc: CPU - Numpy - 4194304 - Equation of Statepyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingmrbayes: Primate Phylogeny AnalysisAutoPrefer CachePrefer 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51.5329496.7643758.767077.09373.084613558.35138137.06123819.5072995.0425052017.733476539.4935444.42212527.9131.91381.3736014622.731276.15581.60489525.424134347.2711172285.00563.6613.0633.3682.2211.5107729.7843549493313.5326.0940605.4423592.857.377.292621.901333.241721.24993.161674.00135.63915.11399.601407.91827.995.9238.97108.60110.91241.38217.8889.87220.58102.3268.5824.0928.2913.221.200.4179.8482.64173.58230.80281.7420.7421.1945.9260.4779.32796.324209.983771.611212.522195.81270.48314.4665.29822.735.82308.04101.09591.01174.93384.34109.76459.41126.63450.47118.0039.8321.9920.3910.18269.5271.78113.4234.6534.620832.292039.764536.240716.7447.3674.7251.1798.531.895.9010.069.73955438.3319711.28118816109.419658.112.18163.08702185.95318.3180183.57043.7358499.69770.08991994197.700027.564008.980567.572997.53018235.2831646115360549222161012261549.451641.11426480291953581891102.641109.973869.374152.581967026288713661311.8525.4345.057.9217.584.784.464023.52193.41405.52267.81046.82423.11012.92417.3297.92469.825.41990.614.91835.117314.4019602.673.6118319.872.8418587.560.92344.0802134512.44638.2918121352.35008.91267.7524.71136.9687.42002.5527.9154.61071.412712.246918.4111495.92322.202959.1819065917702426.5717.165.322.230.84368.1015129.530916.15001.701219311795153873802.69116.25216.386145059913960243947814774001741984543315415950294281.13321.27323.367.3914937.9966417.1955167.7432605.1816075.5064673.2423173.6545591105636920.90241166667757983333148803333314886333331247786325.828885.61215.9223.1243.1256.0143.9395945312389066.29330.8137923.3901733.0465582.1021337.2165.5354955.59385.4623022.98472.0010014.38911108.321627.8717769.5504589.71306.230.390.671080.711089.896.105.994.658.054.7758.93984315513946129900100132005398813119911783758846291521485.426880.4651390.6343570.8230090.1485851288.241279.16673.157678.6559.163.883.383.884.761.658.6124.727.024.7411.6114.4111.8712.3080.554.783.42362331957.04228.6418.64372.87797.23439.31857.1388.9786.31584.1470.72080.41111.37991.42028.837191.659174.62743.35916382321312434.8592.4522.6362.3310.15213.12512.6479.47110.78222.925509129.4152414.618171261.343949634.9727.23325.05562.34433.5986.88439.22320.37320.26510.1915.2727.561126.562126.82013.1304.5853.758.960271.80435.9353.2095.4213.25046.425519.516252.070276.20949.36621.30121.84615.26211.4113.4327.28346.38689.95319.96252.25138.4367.48167.94488.9135.1951611.001366.415112.34148.62636.092143.7954.562145.58873384.7332296.86082855.2916.84582.9285.98328.4794.05410.7220.1220.2340.7451.09470.413OpenBenchmarking.org

Stress-NG

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: CPU StressAutoPrefer CachePrefer Freq130260390520650597.12597.25579.80

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: CryptoAutoPrefer CachePrefer Freq90180270360450420.16421.50412.45

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Memory CopyingAutoPrefer CachePrefer Freq2040608010084.3983.7383.31

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingAutoPrefer CachePrefer Freq0.72271.44542.16812.89083.61353.2123.1013.181

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsAutoPrefer CachePrefer Freq8K16K24K32K40K37481.7037628.9037088.85

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Vector MathAutoPrefer CachePrefer Freq300600900120015001258.301232.121254.41

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Matrix MathAutoPrefer CachePrefer Freq2004006008001000986.831003.97994.20

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: ForkingAutoPrefer CachePrefer Freq2004006008001000773.10775.40765.37

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: System V Message PassingAutoPrefer CachePrefer Freq70K140K210K280K350K302192.38307502.13297618.27

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: SemaphoresAutoPrefer CachePrefer Freq11K22K33K44K55K50074.7150460.6049638.10

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: Socket ActivityAutoPrefer CachePrefer Freq70140210280350303.55301.39307.83

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU StressAutoPrefer CachePrefer Freq13K26K39K52K65KSE +/- 307.96, N = 3SE +/- 137.26, N = 3SE +/- 352.22, N = 358780.7558865.0156651.531. (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 Per Watt, More Is BetterStress-NG 0.14.06Test: AtomicAutoPrefer CachePrefer Freq70014002100280035003106.573072.533081.49

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: CPU CacheAutoPrefer CachePrefer Freq0.59361.18721.78082.37442.9682.6382.6070.519

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: MallocAutoPrefer CachePrefer Freq70K140K210K280K350K307373.02304485.76311714.64

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: MEMFDAutoPrefer CachePrefer Freq4812162016.6516.5516.44

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: IO_uringAutoPrefer CachePrefer Freq7K14K21K28K35KSE +/- 645.93, N = 15SE +/- 592.21, N = 14SE +/- 283.23, N = 1232571.4031486.8229496.761. (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 Per Watt, More Is BetterStress-NG 0.14.06Test: MMAPAutoPrefer CachePrefer Freq1.07962.15923.23884.31845.3984.7774.7874.798

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 CopyingAutoPrefer CachePrefer Freq15003000450060007500SE +/- 59.45, N = 9SE +/- 23.08, N = 3SE +/- 19.10, N = 37172.317097.397077.091. (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 CachePrefer Freq1000K2000K3000K4000K5000KSE +/- 4595.10, N = 3SE +/- 55352.76, N = 3SE +/- 46384.47, N = 34554878.754616386.564613558.351. (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 MathAutoPrefer CachePrefer Freq30K60K90K120K150KSE +/- 98.70, N = 3SE +/- 118.20, N = 3SE +/- 73.54, N = 3138021.66137735.11138137.061. (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 Per Watt, More Is BetterStress-NG 0.14.06Test: NUMAAutoPrefer CachePrefer Freq1.15272.30543.45814.61085.76355.0895.0975.123

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: ForkingAutoPrefer CachePrefer Freq16K32K48K64K80KSE +/- 262.93, N = 3SE +/- 174.31, N = 3SE +/- 268.01, N = 373511.8473184.0472995.041. (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 PassingAutoPrefer CachePrefer Freq6M12M18M24M30MSE +/- 221720.67, N = 7SE +/- 518902.00, N = 15SE +/- 15666.97, N = 325423648.1425978492.7725052017.731. (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: AtomicAutoPrefer CachePrefer Freq50K100K150K200K250KSE +/- 178.50, N = 3SE +/- 84.51, N = 3SE +/- 147.40, N = 3212936.16212454.76212527.911. (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 Per Watt, More Is BetterStress-NG 0.14.06Test: MutexAutoPrefer CachePrefer Freq20K40K60K80K100K102249.41103449.38102136.17

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU CacheAutoPrefer CachePrefer Freq4080120160200SE +/- 3.49, N = 15SE +/- 1.74, N = 15SE +/- 0.31, N = 6183.32181.0631.911. (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: MMAPAutoPrefer CachePrefer Freq80160240320400SE +/- 0.60, N = 3SE +/- 0.19, N = 3SE +/- 0.31, N = 3381.21379.53381.371. (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 Per Watt, More Is BetterStress-NG 0.14.06Test: FutexAutoPrefer CachePrefer Freq11K22K33K44K55K49850.5350075.8150005.44

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MallocAutoPrefer CachePrefer Freq8M16M24M32M40MSE +/- 130418.56, N = 3SE +/- 50781.26, N = 3SE +/- 10732.17, N = 335942000.7636157266.3336014622.731. (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 Per Watt, More Is BetterStress-NG 0.14.06Test: SENDFILEAutoPrefer CachePrefer Freq90018002700360045004154.494065.844192.08

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MEMFDAutoPrefer CachePrefer Freq30060090012001500SE +/- 2.10, N = 3SE +/- 2.63, N = 3SE +/- 3.18, N = 31281.141266.521276.151. (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: NUMAAutoPrefer CachePrefer Freq130260390520650SE +/- 3.50, N = 14SE +/- 3.65, N = 13SE +/- 4.86, N = 13578.01576.94581.601. (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: 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: MutexAutoPrefer CachePrefer Freq2M4M6M8M10MSE +/- 41091.60, N = 3SE +/- 82230.41, N = 3SE +/- 29801.71, N = 311172291.2911230656.9911172285.001. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lgbm -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

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-QAMAutoPrefer CachePrefer Freq140280420560700SE +/- 2.33, N = 5SE +/- 6.69, N = 15SE +/- 4.08, N = 5633.1571.6563.61. (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.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMAutoPrefer CachePrefer Freq150300450600750SE +/- 5.81, N = 5SE +/- 1.16, N = 4SE +/- 1.49, N = 4675.6610.4613.01. (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: 4G PHY_DL_Test 100 PRB MIMO 64-QAMAutoPrefer CachePrefer Freq140280420560700SE +/- 6.79, N = 4SE +/- 0.12, N = 3SE +/- 1.65, N = 3622.6566.3633.31. (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.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.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

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: CPUAutoPrefer CachePrefer Freq20K40K60K80K100KSE +/- 81.18, N = 3SE +/- 67.91, N = 3SE +/- 32.58, N = 3107446.97107434.06107729.781. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2AutoPrefer CachePrefer Freq1.3M2.6M3.9M5.2M6.5M6022311.886084953.255922043.81

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2AutoPrefer CachePrefer Freq90M180M270M360M450MSE +/- 337440.37, N = 3SE +/- 457867.41, N = 3SE +/- 1311932.65, N = 34375862004381133004354949331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

dav1d

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pAutoPrefer CachePrefer Freq61218243027.0827.3627.31

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: CPUAutoPrefer CachePrefer Freq3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 313.5313.4813.531. (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: CPUAutoPrefer CachePrefer Freq612182430SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 326.1426.1126.091. (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: CPUAutoPrefer CachePrefer Freq9K18K27K36K45KSE +/- 26.82, N = 3SE +/- 60.47, N = 3SE +/- 18.59, N = 340664.1340512.3940605.441. (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: CPUAutoPrefer CachePrefer Freq5K10K15K20K25KSE +/- 11.18, N = 3SE +/- 118.07, N = 3SE +/- 31.27, N = 323579.6723486.3623592.851. (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.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.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.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUAutoPrefer CachePrefer Freq30060090012001500SE +/- 1.06, N = 3SE +/- 0.83, N = 3SE +/- 1.63, N = 31332.501335.291333.241. (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.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAutoPrefer CachePrefer Freq2004006008001000SE +/- 4.60, N = 3SE +/- 3.98, N = 3SE +/- 3.10, N = 3997.601009.73993.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Natron

OpenBenchmarking.orgFPS Per Watt, More Is BetterNatron 2.4.3Input: SpaceshipAutoPrefer CachePrefer Freq0.01640.03280.04920.06560.0820.0720.0730.072

dav1d

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Chimera 1080pAutoPrefer CachePrefer Freq4812162014.0814.1414.21

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: Person Vehicle Bike Detection FP16 - Device: CPUAutoPrefer CachePrefer Freq400800120016002000SE +/- 1.97, N = 3SE +/- 3.63, N = 3SE +/- 2.43, N = 31663.091659.221674.001. (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

dav1d

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Summer Nature 4KAutoPrefer CachePrefer Freq1.21952.4393.65854.8786.09755.3835.4095.420

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitAutoPrefer CachePrefer Freq369121512.8712.9312.86

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080pAutoPrefer CachePrefer Freq2004006008001000SE +/- 0.76, N = 5SE +/- 0.55, N = 5SE +/- 0.73, N = 5913.51912.38915.111. (CC) gcc options: -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 4KAutoPrefer CachePrefer Freq90180270360450SE +/- 1.15, N = 5SE +/- 1.20, N = 5SE +/- 2.66, N = 5399.46401.81399.601. (CC) gcc options: -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Summer Nature 1080pAutoPrefer CachePrefer Freq30060090012001500SE +/- 1.39, N = 10SE +/- 1.44, N = 10SE +/- 1.15, N = 101409.231406.811407.911. (CC) gcc options: -pthread -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 1.1Video Input: Chimera 1080p 10-bitAutoPrefer CachePrefer Freq2004006008001000SE +/- 1.52, N = 5SE +/- 0.54, N = 5SE +/- 1.23, N = 5830.58830.28827.991. (CC) gcc options: -pthread -lm

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 CachePrefer Freq246810SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 35.96.05.9

AOM AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.29082.58163.87245.16326.4545.6555.7375.669

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.4640.9281.3921.8562.321.9842.0622.044

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.3252.653.9755.36.6255.8895.7505.775

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.46350.9271.39051.8542.31751.9612.0112.060

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.1122.2243.3364.4485.564.9424.9294.908

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.34110.68221.02331.36441.70551.4951.5071.516

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.14012.28023.42034.56045.70054.9585.0675.048

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.45140.90281.35421.80562.2572.0061.9281.851

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.22250.4450.66750.891.11250.9890.9820.978

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.06280.12560.18840.25120.3140.2780.2770.279

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.08510.17020.25530.34040.42550.3780.3740.378

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.03220.06440.09660.12880.1610.1420.1410.143

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.00320.00640.00960.01280.0160.0140.0140.014

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.6Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.00090.00180.00270.00360.00450.0040.0040.004

Kvazaar

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: SlowAutoPrefer CachePrefer Freq0.26980.53960.80941.07921.3491.1911.1961.199

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumAutoPrefer CachePrefer Freq0.28060.56120.84181.12241.4031.2441.2471.245

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastAutoPrefer CachePrefer Freq0.70381.40762.11142.81523.5193.1193.1283.109

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastAutoPrefer CachePrefer Freq0.97831.95662.93493.91324.89154.3394.3484.343

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastAutoPrefer CachePrefer Freq1.34892.69784.04675.39566.74455.9705.9955.956

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowAutoPrefer CachePrefer Freq0.0450.090.1350.180.2250.2000.2000.199

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumAutoPrefer CachePrefer Freq0.04590.09180.13770.18360.22950.2030.2040.203

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastAutoPrefer CachePrefer Freq0.11970.23940.35910.47880.59850.5270.5320.529

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastAutoPrefer CachePrefer Freq0.15860.31720.47580.63440.7930.7050.7040.704

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastAutoPrefer CachePrefer Freq0.22820.45640.68460.91281.1411.0141.0111.013

SVT-AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq61218243023.7023.9824.29

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.93151.8632.79453.7264.65754.1404.0844.131

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq61218243022.8223.2422.51

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.9361.8722.8083.7444.684.1444.1604.026

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.79221.58442.37663.16883.9613.4813.4843.521

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.21310.42620.63930.85241.06550.9320.9390.947

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.05180.10360.15540.20720.2590.2280.2300.228

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.01420.02840.04260.05680.0710.0630.0630.063

SVT-HEVC

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.04520.09040.13560.18080.2260.2010.2010.201

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.01060.02120.03180.04240.0530.0460.0460.047

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.26472.52943.79415.05886.32355.4845.5815.621

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.28260.56520.84781.13041.4131.2501.2561.240

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq4812162014.2514.2614.10

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.62821.25641.88462.51283.1412.7682.7922.790

SVT-VP9

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq2468108.2028.2118.207

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.34180.68361.02541.36721.7091.5031.5191.519

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq369121510.5710.5210.50

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.44010.88021.32031.76042.20051.9461.9401.956

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq369121510.2310.1410.48

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.40320.80641.20961.61282.0161.7771.7871.792

VP9 libvpx Encoding

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.19440.38880.58320.77760.9720.8610.8640.854

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 5 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.08780.17560.26340.35120.4390.3900.3780.376

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.07270.14540.21810.29080.36350.3200.3220.323

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVP9 libvpx Encoding 1.13Speed: Speed 0 - Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.03380.06760.10140.13520.1690.1480.1470.150

x264

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pAutoPrefer CachePrefer Freq1.14682.29363.44044.58725.7345.0775.0975.069

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2022-02-22Video Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.18950.3790.56850.7580.94750.8330.8370.842

x265

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 1080pAutoPrefer CachePrefer Freq0.45470.90941.36411.81882.27351.9952.0212.018

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 CachePrefer Freq50100150200250SE +/- 2.55, N = 15SE +/- 2.64, N = 15SE +/- 2.18, N = 15238.38241.09238.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

rav1e

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 10AutoPrefer CachePrefer Freq0.08710.17420.26130.34840.43550.3870.3780.383

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 4KAutoPrefer CachePrefer Freq20406080100SE +/- 1.08, N = 6SE +/- 1.11, N = 15SE +/- 1.20, N = 15106.78109.81108.601. (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

Embree

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: Asian DragonAutoPrefer CachePrefer Freq0.08710.17420.26130.34840.43550.3860.3860.387

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownAutoPrefer CachePrefer Freq0.07220.14440.21660.28880.3610.3160.3210.318

rav1e

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 6AutoPrefer CachePrefer Freq0.03440.06880.10320.13760.1720.1520.1530.151

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 9 Realtime - Input: Bosphorus 1080pAutoPrefer CachePrefer Freq50100150200250SE +/- 3.46, N = 15SE +/- 2.80, N = 15SE +/- 2.13, N = 15248.22242.10241.381. (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 1080pAutoPrefer CachePrefer Freq50100150200250SE +/- 2.26, N = 15SE +/- 1.80, N = 15SE +/- 0.85, N = 10221.03219.56217.881. (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 CachePrefer Freq50100150200250SE +/- 2.75, N = 15SE +/- 2.36, N = 15SE +/- 1.96, N = 15219.50221.70220.581. (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 4KAutoPrefer CachePrefer Freq20406080100SE +/- 0.99, N = 7SE +/- 1.09, N = 15SE +/- 0.90, N = 15108.41105.98102.321. (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 1080pAutoPrefer CachePrefer Freq1530456075SE +/- 0.36, N = 4SE +/- 0.28, N = 4SE +/- 0.09, N = 469.2268.4768.581. (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 4KAutoPrefer CachePrefer Freq612182430SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 324.1824.1824.091. (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 1080pAutoPrefer CachePrefer Freq714212835SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 328.3228.3428.291. (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 4KAutoPrefer CachePrefer Freq3691215SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 313.1913.1113.221. (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 CachePrefer Freq0.27230.54460.81691.08921.3615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.201.211.201. (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

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: MediumAutoPrefer CachePrefer Freq20406080100SE +/- 0.11, N = 6SE +/- 0.09, N = 6SE +/- 0.09, N = 682.5882.3682.641. (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 FastAutoPrefer CachePrefer Freq4080120160200SE +/- 0.10, N = 9SE +/- 0.11, N = 9SE +/- 0.11, N = 9173.45173.35173.581. (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 FastAutoPrefer CachePrefer Freq50100150200250SE +/- 0.15, N = 10SE +/- 0.18, N = 10SE +/- 0.21, N = 10230.49229.99230.801. (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: SlowAutoPrefer CachePrefer Freq510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 320.7120.6920.741. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

rav1e

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 5AutoPrefer CachePrefer Freq0.02090.04180.06270.08360.10450.0910.0930.092

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.6.1Speed: 1AutoPrefer CachePrefer Freq0.00410.00820.01230.01640.02050.0180.0180.018

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: 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 FastAutoPrefer CachePrefer Freq1020304050SE +/- 0.05, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 445.8445.7845.921. (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 FastAutoPrefer CachePrefer Freq1428425670SE +/- 0.04, N = 5SE +/- 0.04, N = 5SE +/- 0.06, N = 560.4660.4060.471. (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

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 1080pAutoPrefer CachePrefer Freq2004006008001000SE +/- 4.42, N = 15SE +/- 4.51, N = 15SE +/- 4.32, N = 15789.95787.79796.321. (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 4KAutoPrefer CachePrefer Freq50100150200250SE +/- 3.51, N = 15SE +/- 3.44, N = 15SE +/- 3.40, N = 15211.00209.86209.981. (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 1080pAutoPrefer CachePrefer Freq170340510680850SE +/- 3.12, N = 13SE +/- 1.73, N = 13SE +/- 1.28, N = 13772.34773.41771.611. (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 4KAutoPrefer CachePrefer Freq50100150200250SE +/- 0.30, N = 9SE +/- 0.53, N = 9SE +/- 0.30, N = 9214.07213.53212.521. (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 1080pAutoPrefer CachePrefer Freq48121620SE +/- 0.04, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 414.4214.4014.471. (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 CachePrefer Freq1.1952.393.5854.785.975SE +/- 0.009, N = 3SE +/- 0.018, N = 3SE +/- 0.016, N = 35.2965.3115.2981. (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 1080pAutoPrefer CachePrefer Freq510152025SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 322.6622.6422.731. (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 4KAutoPrefer CachePrefer Freq20406080100SE +/- 0.12, N = 6SE +/- 0.21, N = 6SE +/- 0.10, N = 6101.10101.10101.091. (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 1080pAutoPrefer CachePrefer Freq130260390520650SE +/- 1.15, N = 12SE +/- 1.13, N = 12SE +/- 1.08, N = 12592.13591.30591.011. (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 CachePrefer Freq4080120160200SE +/- 0.36, N = 8SE +/- 0.10, N = 8SE +/- 0.34, N = 8174.66174.96174.931. (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 1080pAutoPrefer CachePrefer Freq80160240320400SE +/- 1.44, N = 11SE +/- 1.35, N = 11SE +/- 1.24, N = 15383.36382.65384.341. (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 1080pAutoPrefer CachePrefer Freq100200300400500SE +/- 0.50, N = 12SE +/- 0.64, N = 12SE +/- 0.43, N = 12458.64457.94459.411. (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 1080pAutoPrefer CachePrefer Freq100200300400500SE +/- 0.41, N = 12SE +/- 0.89, N = 12SE +/- 0.64, N = 12449.83446.12450.471. (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

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 CachePrefer Freq918273645SE +/- 0.20, N = 4SE +/- 0.08, N = 4SE +/- 0.18, N = 439.8040.3439.831. (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 4KAutoPrefer CachePrefer Freq510152025SE +/- 0.27, N = 3SE +/- 0.24, N = 5SE +/- 0.19, N = 322.6822.2021.991. (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 4KAutoPrefer CachePrefer Freq3691215SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 310.1010.0610.181. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

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 CachePrefer Freq1632486480SE +/- 0.68, N = 15SE +/- 0.72, N = 15SE +/- 0.71, N = 1571.3971.7971.781. (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 CachePrefer Freq306090120150SE +/- 0.17, N = 7SE +/- 0.22, N = 7SE +/- 0.26, N = 7113.23113.59113.421. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KAutoPrefer CachePrefer Freq0.09590.19180.28770.38360.47950.4230.4240.426

Embree

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer - Model: CrownAutoPrefer CachePrefer Freq0.06190.12380.18570.24760.30950.2720.2750.274

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 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

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 CachePrefer Freq918273645SE +/- 0.06, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 439.7439.7839.76MIN: 39.35 / MAX: 40.85MIN: 39.43 / MAX: 40.87MIN: 39.42 / MAX: 40.83

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.0Binary: Pathtracer ISPC - Model: CrownAutoPrefer CachePrefer Freq816243240SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 336.0336.0236.24MIN: 35.6 / MAX: 36.69MIN: 35.7 / MAX: 36.65MIN: 35.81 / MAX: 36.91

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: 10AutoPrefer CachePrefer Freq48121620SE +/- 0.11, N = 7SE +/- 0.09, N = 7SE +/- 0.16, N = 717.0516.7916.74

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 6AutoPrefer CachePrefer Freq246810SE +/- 0.038, N = 6SE +/- 0.013, N = 6SE +/- 0.056, N = 67.3707.4057.367

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 CachePrefer Freq0.26570.53140.79711.06281.3285SE +/- 0.009, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 31.1761.1811.179

simdjson

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: LargeRandomAutoPrefer CachePrefer Freq0.0090.0180.0270.0360.0450.0400.0330.033

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsAutoPrefer CachePrefer Freq246810SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.11, N = 38.647.598.531. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: KostyaAutoPrefer CachePrefer Freq0.02790.05580.08370.11160.13950.1240.1040.103

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDAutoPrefer CachePrefer Freq0.05020.10040.15060.20080.2510.2230.2230.177

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: TopTweetAutoPrefer CachePrefer Freq0.04860.09720.14580.19440.2430.2160.1690.172

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 CachePrefer Freq246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.546.045.901. (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

Selenium

OpenBenchmarking.orgGeometric Mean Per Watt, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeAutoPrefer CachePrefer Freq50010001500200025002290.762278.222291.54

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeAutoPrefer CachePrefer Freq20K40K60K80K100KSE +/- 950.48, N = 15SE +/- 916.53, N = 15SE +/- 958.51, N = 69509995644955431. chrome 110.0.5481.96

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1AutoPrefer CachePrefer Freq0.02360.04720.07080.09440.1180.1040.1040.105

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1AutoPrefer CachePrefer Freq246810SE +/- 0.00551, N = 3SE +/- 0.01712, N = 3SE +/- 0.00077, N = 38.328858.328308.331971. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

ACES DGEMM

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateAutoPrefer CachePrefer Freq0.02630.05260.07890.10520.13150.1120.1110.117

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateAutoPrefer CachePrefer Freq3691215SE +/- 0.10, N = 7SE +/- 0.13, N = 4SE +/- 0.09, N = 310.7210.6411.281. (CC) gcc options: -O3 -march=native -fopenmp

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: 1MAutoPrefer CachePrefer Freq3K6K9K12K15KSE +/- 84.38, N = 3SE +/- 57.72, N = 3SE +/- 52.59, N = 316134.416231.916109.41. (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: 1MAutoPrefer CachePrefer Freq4K8K12K16K20KSE +/- 24.03, N = 3SE +/- 7.50, N = 3SE +/- 18.99, N = 319626.119605.419658.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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: StandardAutoPrefer CachePrefer Freq3691215SE +/- 0.13, N = 5SE +/- 0.35, N = 15SE +/- 0.11, N = 312.2410.7912.181. (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 CachePrefer Freq0.77131.54262.31393.08523.8565SE +/- 0.15740, N = 15SE +/- 0.12057, N = 12SE +/- 0.15247, N = 153.013553.428083.087021. (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: StandardAutoPrefer CachePrefer Freq4080120160200SE +/- 7.51, N = 15SE +/- 7.02, N = 15SE +/- 9.16, N = 12185.54184.02185.951. (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: StandardAutoPrefer CachePrefer Freq4080120160200SE +/- 2.28, N = 4SE +/- 0.57, N = 3SE +/- 2.62, N = 15185.34188.88183.571. (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: StandardAutoPrefer CachePrefer Freq1020304050SE +/- 1.11, N = 15SE +/- 1.48, N = 15SE +/- 0.93, N = 1242.7642.2743.741. (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 CachePrefer Freq20406080100SE +/- 2.15, N = 15SE +/- 0.35, N = 3SE +/- 1.82, N = 1269.0874.5170.091. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

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_timeAutoPrefer CachePrefer Freq246810SE +/- 0.02259, N = 3SE +/- 0.00354, N = 3SE +/- 0.01807, N = 37.661027.614877.70002

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 Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAutoPrefer CachePrefer Freq0.01820.03640.05460.07280.0910.0810.0810.081

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeAutoPrefer CachePrefer Freq0.01550.0310.04650.0620.07750.0690.0690.069

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeAutoPrefer CachePrefer Freq0.01760.03520.05280.07040.0880.0780.0780.078

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeAutoPrefer CachePrefer Freq3691215SE +/- 0.01032, N = 3SE +/- 0.00821, N = 3SE +/- 0.00141, N = 38.958078.985458.98056

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeAutoPrefer CachePrefer Freq0.52071.04141.56212.08282.60352.3142.3142.305

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeAutoPrefer CachePrefer Freq246810SE +/- 0.00120, N = 3SE +/- 0.00154, N = 3SE +/- 0.00336, N = 37.576927.561897.57299

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_timeAutoPrefer CachePrefer Freq246810SE +/- 0.00618, N = 3SE +/- 0.00464, N = 3SE +/- 0.03588, N = 37.564237.596817.53018

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_timeAutoPrefer CachePrefer Freq50100150200250SE +/- 0.40, N = 3SE +/- 0.12, N = 3SE +/- 0.84, N = 3235.95235.72235.28

GraphicsMagick

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceAutoPrefer CachePrefer Freq61218243025.4125.8225.42

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianAutoPrefer CachePrefer Freq1.33582.67164.00745.34326.6795.9375.8965.868

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedAutoPrefer CachePrefer Freq1.02382.04763.07144.09525.1194.5324.5394.550

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceAutoPrefer CachePrefer Freq400800120016002000SE +/- 10.37, N = 3SE +/- 3.71, N = 3SE +/- 6.89, N = 31634170216461. (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 CachePrefer Freq2004006008001000SE +/- 1.53, N = 3SE +/- 5.17, N = 3SE +/- 0.33, N = 31144116211531. (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 Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: ResizingAutoPrefer CachePrefer Freq51015202522.2022.0121.92

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianAutoPrefer CachePrefer Freq130260390520650SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 5.79, N = 126116126051. (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: ResizingAutoPrefer CachePrefer Freq5001000150020002500SE +/- 26.27, N = 4SE +/- 17.52, N = 3SE +/- 31.52, N = 32169215822161. (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: RotateAutoPrefer CachePrefer Freq2004006008001000SE +/- 2.31, N = 3SE +/- 6.51, N = 3SE +/- 0.33, N = 31030102710121. (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

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.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPAutoPrefer CachePrefer Freq120240360480600SE +/- 2.26, N = 5SE +/- 2.00, N = 5SE +/- 0.00, N = 5551.31550.08549.451. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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-GroestlAutoPrefer CachePrefer Freq13K26K39K52K65KSE +/- 450.34, N = 15SE +/- 588.74, N = 15SE +/- 649.11, N = 155935858791581891. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAutoPrefer CachePrefer Freq2004006008001000SE +/- 2.10, N = 3SE +/- 3.26, N = 3SE +/- 0.99, N = 31101.711105.251102.641. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAutoPrefer CachePrefer Freq2004006008001000SE +/- 3.00, N = 3SE +/- 5.11, N = 3SE +/- 1.01, N = 31110.551116.021109.971. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAutoPrefer CachePrefer Freq8001600240032004000SE +/- 55.34, N = 3SE +/- 45.48, N = 15SE +/- 137.18, N = 153841.473781.073869.371. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinAutoPrefer CachePrefer Freq9001800270036004500SE +/- 12.63, N = 3SE +/- 32.16, N = 10SE +/- 13.77, N = 34161.554211.634152.581. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinAutoPrefer CachePrefer Freq4080120160200181.55183.44184.66

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAutoPrefer CachePrefer Freq50010001500200025002340.292263.252304.55

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAutoPrefer CachePrefer Freq300600900120015001236.191272.791267.53

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinAutoPrefer CachePrefer Freq4K8K12K16K20KSE +/- 193.42, N = 3SE +/- 83.53, N = 3SE +/- 190.35, N = 31977319517196701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinAutoPrefer CachePrefer Freq60K120K180K240K300KSE +/- 104.14, N = 3SE +/- 25.17, N = 3SE +/- 231.40, N = 32627872624202628871. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsAutoPrefer CachePrefer Freq30K60K90K120K150KSE +/- 27.28, N = 3SE +/- 290.08, N = 3SE +/- 78.60, N = 31365131367831366131. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

IndigoBench

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarAutoPrefer CachePrefer Freq0.02120.04240.06360.08480.1060.0940.0940.094

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: BedroomAutoPrefer CachePrefer Freq1.22272.44543.66814.89086.1135SE +/- 0.011, N = 3SE +/- 0.010, N = 3SE +/- 0.009, N = 35.4285.4255.434

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 CachePrefer Freq1.14082.28163.42244.56325.704SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.025.075.05MIN: 4.9 / MAX: 5.32MIN: 4.95 / MAX: 5.38MIN: 4.92 / MAX: 5.35

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUAutoPrefer CachePrefer Freq246810SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 37.907.867.92MIN: 7.04 / MAX: 8.37MIN: 7.02 / MAX: 8.29MIN: 7.07 / MAX: 8.33

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUAutoPrefer CachePrefer Freq48121620SE +/- 0.03, N = 5SE +/- 0.08, N = 5SE +/- 0.08, N = 517.5717.6717.58MIN: 15.92 / MAX: 17.78MIN: 15.83 / MAX: 18.03MIN: 15.92 / MAX: 18.06

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUAutoPrefer CachePrefer Freq0.00860.01720.02580.03440.0430.0380.0380.038

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUAutoPrefer CachePrefer Freq0.00810.01620.02430.03240.04050.0360.0350.036

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: Danish Mood - Acceleration: CPUAutoPrefer CachePrefer Freq1.00352.0073.01054.0145.0175SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.384.364.46MIN: 1.82 / MAX: 4.93MIN: 1.84 / MAX: 4.92MIN: 2.05 / MAX: 5

Zstd Compression

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression SpeedAutoPrefer CachePrefer Freq81624324032.7332.6832.69

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression SpeedAutoPrefer CachePrefer Freq102030405042.0642.0541.96

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedAutoPrefer CachePrefer Freq81624324035.9435.6535.91

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Compression SpeedAutoPrefer CachePrefer Freq9001800270036004500SE +/- 20.17, N = 3SE +/- 26.15, N = 3SE +/- 29.94, N = 34033.33967.54023.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3 - Decompression SpeedAutoPrefer CachePrefer Freq5001000150020002500SE +/- 2.23, N = 3SE +/- 3.70, N = 3SE +/- 7.91, N = 32198.62210.72193.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Compression SpeedAutoPrefer CachePrefer Freq30060090012001500SE +/- 1.91, N = 3SE +/- 9.62, N = 3SE +/- 7.52, N = 31418.11423.91405.51. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedAutoPrefer CachePrefer Freq91827364539.8740.9140.90

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 3, Long Mode - Decompression SpeedAutoPrefer CachePrefer Freq5001000150020002500SE +/- 10.66, N = 3SE +/- 58.56, N = 3SE +/- 2.30, N = 32252.52158.62267.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedAutoPrefer CachePrefer Freq2004006008001000SE +/- 5.17, N = 3SE +/- 11.34, N = 5SE +/- 6.16, N = 31051.01046.41046.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedAutoPrefer CachePrefer Freq5001000150020002500SE +/- 2.63, N = 3SE +/- 13.16, N = 5SE +/- 9.76, N = 32414.12428.52423.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedAutoPrefer CachePrefer Freq2004006008001000SE +/- 5.38, N = 3SE +/- 4.68, N = 3SE +/- 1.70, N = 31015.01012.01012.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedAutoPrefer CachePrefer Freq91827364537.5437.6737.81

LZ4 Compression

OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedAutoPrefer CachePrefer Freq90180270360450438.20434.54420.60

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: 8, Long Mode - Decompression SpeedAutoPrefer CachePrefer Freq5001000150020002500SE +/- 6.20, N = 3SE +/- 6.75, N = 3SE +/- 3.64, N = 32433.02410.12417.31. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedAutoPrefer CachePrefer Freq70140210280350SE +/- 1.64, N = 3SE +/- 1.82, N = 3SE +/- 2.19, N = 3296.0299.9297.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedAutoPrefer CachePrefer Freq5001000150020002500SE +/- 14.86, N = 3SE +/- 10.59, N = 3SE +/- 23.52, N = 32485.52476.52469.81. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedAutoPrefer CachePrefer Freq612182430SE +/- 0.22, N = 15SE +/- 0.28, N = 15SE +/- 0.35, N = 1526.025.925.41. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedAutoPrefer CachePrefer Freq91827364539.1238.4339.03

LZ4 Compression

OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedAutoPrefer CachePrefer Freq100200300400500389.12439.29409.84

OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedAutoPrefer CachePrefer Freq90180270360450332.66437.73432.17

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: 19 - Decompression SpeedAutoPrefer CachePrefer Freq400800120016002000SE +/- 26.46, N = 15SE +/- 2.99, N = 15SE +/- 22.67, N = 152004.91949.11990.61. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedAutoPrefer CachePrefer Freq48121620SE +/- 0.00, N = 3SE +/- 0.15, N = 15SE +/- 0.06, N = 314.914.614.91. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedAutoPrefer CachePrefer Freq400800120016002000SE +/- 53.52, N = 3SE +/- 17.36, N = 15SE +/- 10.27, N = 31968.01847.01835.11. (CC) gcc options: -O3 -pthread -lz -llzma -llz4

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 CachePrefer Freq4K8K12K16K20KSE +/- 78.27, N = 3SE +/- 79.02, N = 3SE +/- 99.20, N = 317290.9817319.6717314.401. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedAutoPrefer CachePrefer Freq4K8K12K16K20KSE +/- 30.12, N = 3SE +/- 89.48, N = 3SE +/- 23.55, N = 319572.919460.119602.61. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedAutoPrefer CachePrefer Freq20406080100SE +/- 0.95, N = 4SE +/- 0.15, N = 3SE +/- 0.68, N = 378.9575.7473.611. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedAutoPrefer CachePrefer Freq4K8K12K16K20KSE +/- 78.84, N = 4SE +/- 28.63, N = 3SE +/- 30.05, N = 318483.018752.718319.81. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedAutoPrefer CachePrefer Freq1632486480SE +/- 0.40, N = 3SE +/- 0.53, N = 15SE +/- 0.81, N = 472.1073.6172.841. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedAutoPrefer CachePrefer Freq4K8K12K16K20KSE +/- 23.00, N = 3SE +/- 33.45, N = 15SE +/- 123.72, N = 418495.318764.518587.51. (CC) gcc options: -O3

OpenEMS

OpenBenchmarking.orgMCells/s Per Watt, More Is BetterOpenEMS 0.0.35-86Test: pyEMS CouplerAutoPrefer CachePrefer Freq0.17190.34380.51570.68760.85950.7580.7640.758

OpenBenchmarking.orgMCells/s, More Is BetterOpenEMS 0.0.35-86Test: pyEMS CouplerAutoPrefer CachePrefer Freq1428425670SE +/- 0.35, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 361.6162.0160.921. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat

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

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 CachePrefer Freq10002000300040005000SE +/- 38.40, N = 3SE +/- 27.33, N = 3SE +/- 34.67, N = 34169.24577.44512.41. (CXX) g++ options: -O3 -march=native -rdynamic

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 SolverAutoPrefer CachePrefer Freq11002200330044005500SE +/- 140.79, N = 15SE +/- 120.69, N = 15SE +/- 83.07, N = 155350.255163.444638.291. (CC) gcc options: -O3 -mavx2

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 FiltersAutoPrefer CachePrefer Freq30060090012001500SE +/- 22.39, N = 9SE +/- 25.73, N = 9SE +/- 17.40, N = 91356.51404.41352.31. 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 FilterAutoPrefer CachePrefer Freq30060090012001500SE +/- 2.89, N = 9SE +/- 3.63, N = 9SE +/- 2.90, N = 91390.71390.51267.71. 3.10.5.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: IIR FilterAutoPrefer CachePrefer Freq110220330440550SE +/- 2.24, N = 9SE +/- 1.65, N = 9SE +/- 0.92, N = 9520.0518.2524.71. 3.10.5.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FM Deemphasis FilterAutoPrefer CachePrefer Freq2004006008001000SE +/- 2.62, N = 9SE +/- 4.98, N = 9SE +/- 3.20, N = 91119.71115.01136.91. 3.10.5.1

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Hilbert TransformAutoPrefer CachePrefer Freq160320480640800SE +/- 3.80, N = 9SE +/- 3.09, N = 9SE +/- 3.07, N = 9720.2721.3687.41. 3.10.5.1

LuaRadio

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterLuaRadio 0.9.1Test: Complex PhaseAutoPrefer CachePrefer Freq51015202520.0019.7819.83

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersAutoPrefer CachePrefer Freq400800120016002000SE +/- 22.01, N = 3SE +/- 20.86, N = 5SE +/- 17.45, N = 71959.11945.72002.5

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 CachePrefer Freq306090120150SE +/- 1.47, N = 3SE +/- 1.10, N = 5SE +/- 0.35, N = 7153.7155.6154.6

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex PhaseAutoPrefer CachePrefer Freq2004006008001000SE +/- 4.07, N = 3SE +/- 4.40, N = 5SE +/- 4.41, N = 71078.41089.71071.4

Sysbench

OpenBenchmarking.orgMiB/sec Per Watt, More Is BetterSysbench 1.0.20Test: RAM / MemoryAutoPrefer CachePrefer Freq50100150200250220.79218.57217.30

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / MemoryAutoPrefer CachePrefer Freq3K6K9K12K15KSE +/- 52.79, N = 6SE +/- 53.25, N = 6SE +/- 62.18, N = 612821.2512696.4112712.241. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

ASKAP

OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingAutoPrefer CachePrefer Freq102030405040.9744.0240.60

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 - DegriddingAutoPrefer CachePrefer Freq2K4K6K8K10KSE +/- 171.09, N = 7SE +/- 80.38, N = 6SE +/- 80.38, N = 611519.911495.911495.91. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingAutoPrefer CachePrefer Freq5001000150020002500SE +/- 34.96, N = 15SE +/- 31.33, N = 15SE +/- 18.48, N = 152371.382530.472322.201. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingAutoPrefer CachePrefer Freq6001200180024003000SE +/- 12.65, N = 15SE +/- 9.57, N = 15SE +/- 11.63, N = 152964.862970.042959.181. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 RatingAutoPrefer CachePrefer Freq40K80K120K160K200KSE +/- 73.05, N = 3SE +/- 304.82, N = 3SE +/- 194.35, N = 31766161763981770241. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

WebP Image Encode

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultAutoPrefer CachePrefer Freq0.22140.44280.66420.88561.1070.9840.9720.963

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionAutoPrefer CachePrefer Freq0.0320.0640.0960.1280.160.1340.1360.142

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessAutoPrefer CachePrefer Freq0.01150.0230.03450.0460.05750.0500.0500.051

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionAutoPrefer CachePrefer Freq0.00430.00860.01290.01720.02150.0180.0190.019

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultAutoPrefer CachePrefer Freq714212835SE +/- 0.07, N = 13SE +/- 0.02, N = 13SE +/- 0.30, N = 1528.1227.9226.571. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100AutoPrefer CachePrefer Freq48121620SE +/- 0.14, N = 15SE +/- 0.18, N = 15SE +/- 0.11, N = 1217.4416.9517.161. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionAutoPrefer CachePrefer Freq1.24432.48863.73294.97726.2215SE +/- 0.01, N = 8SE +/- 0.01, N = 8SE +/- 0.07, N = 155.465.535.321. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessAutoPrefer CachePrefer Freq0.51531.03061.54592.06122.5765SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 152.292.272.231. (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

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 CachePrefer Freq80160240320400SE +/- 0.23, N = 5SE +/- 0.29, N = 5SE +/- 0.25, N = 5367.89368.25368.101. (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 Per Watt, More Is BetterASTC Encoder 4.0Preset: ThoroughAutoPrefer CachePrefer Freq0.03690.07380.11070.14760.18450.1630.1640.161

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ExhaustiveAutoPrefer CachePrefer Freq0.00360.00720.01080.01440.0180.0160.0150.015

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

LeelaChessZero

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: BLASAutoPrefer CachePrefer Freq51015202521.9121.9322.10

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: EigenAutoPrefer CachePrefer Freq51015202519.6319.5219.36

Crafty

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterCrafty 25.2Elapsed TimeAutoPrefer CachePrefer Freq70K140K210K280K350K310867.83310547.27314968.37

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: BLASAutoPrefer CachePrefer Freq400800120016002000SE +/- 22.10, N = 3SE +/- 6.23, N = 3SE +/- 2.96, N = 31928192619311. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenAutoPrefer CachePrefer Freq400800120016002000SE +/- 12.03, N = 3SE +/- 19.08, N = 3SE +/- 14.57, N = 31825181017951. (CXX) g++ options: -flto -pthread

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 TimeAutoPrefer CachePrefer Freq3M6M9M12M15MSE +/- 107676.89, N = 4SE +/- 154949.74, N = 4SE +/- 134359.73, N = 41533566715231602153873801. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

GROMACS

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareAutoPrefer CachePrefer Freq0.00540.01080.01620.02160.0270.0240.0240.024

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareAutoPrefer CachePrefer Freq0.60551.2111.81652.4223.0275SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 32.6852.6762.6911. (CXX) g++ options: -O3

LAMMPS Molecular Dynamics Simulator

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinAutoPrefer CachePrefer Freq0.07850.1570.23550.3140.39250.3490.3450.348

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsAutoPrefer CachePrefer Freq0.02880.05760.08640.11520.1440.1280.1280.128

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinAutoPrefer CachePrefer Freq48121620SE +/- 0.11, N = 13SE +/- 0.17, N = 15SE +/- 0.14, N = 1516.3116.1116.251. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsAutoPrefer CachePrefer Freq48121620SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 316.3416.3316.391. (CXX) g++ options: -O3 -lm -ldl

RocksDB

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Sequential FillAutoPrefer CachePrefer Freq3K6K9K12K15K14396.1114318.7514546.44

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Random FillAutoPrefer CachePrefer Freq3K6K9K12K15K12979.0412848.8812887.80

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Random Fill SyncAutoPrefer CachePrefer Freq160320480640800736.16735.57729.90

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Random ReadAutoPrefer CachePrefer Freq300K600K900K1200K1500K1151025.951175955.071154527.53

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Sequential FillAutoPrefer CachePrefer Freq300K600K900K1200K1500KSE +/- 2647.98, N = 3SE +/- 3546.36, N = 3SE +/- 3968.04, N = 31445499144181514505991. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Read While WritingAutoPrefer CachePrefer Freq8K16K24K32K40K35437.5035371.6335237.53

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random FillAutoPrefer CachePrefer Freq300K600K900K1200K1500KSE +/- 1364.86, N = 3SE +/- 3639.38, N = 3SE +/- 2340.10, N = 31398717138878713960241. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fill SyncAutoPrefer CachePrefer Freq9K18K27K36K45KSE +/- 41.20, N = 3SE +/- 84.16, N = 3SE +/- 113.36, N = 33972839653394781. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random ReadAutoPrefer CachePrefer Freq30M60M90M120M150MSE +/- 134841.05, N = 3SE +/- 515512.16, N = 3SE +/- 260132.99, N = 31472961311477601091477400171. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Read Random Write RandomAutoPrefer CachePrefer Freq6K12K18K24K30K28227.4428071.8628129.94

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 7.9.2Test: Update RandomAutoPrefer CachePrefer Freq2K4K6K8K10K8334.388358.198341.82

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read While WritingAutoPrefer CachePrefer Freq900K1800K2700K3600K4500KSE +/- 12110.14, N = 3SE +/- 24244.30, N = 3SE +/- 25035.49, N = 34196944421224641984541. (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 RandomAutoPrefer CachePrefer Freq700K1400K2100K2800K3500KSE +/- 3489.00, N = 3SE +/- 9373.61, N = 3SE +/- 3924.51, N = 33323667331176633154151. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Update RandomAutoPrefer CachePrefer Freq200K400K600K800K1000KSE +/- 1979.12, N = 3SE +/- 3396.18, N = 3SE +/- 293.65, N = 39471329507869502941. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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

Stargate Digital Audio Workstation

OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512AutoPrefer CachePrefer Freq0.0180.0360.0540.0720.090.0790.0790.080

OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024AutoPrefer CachePrefer Freq0.01940.03880.05820.07760.0970.0850.0840.086

OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512AutoPrefer CachePrefer Freq0.01710.03420.05130.06840.08550.0760.0760.076

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512AutoPrefer CachePrefer Freq246810SE +/- 0.076546, N = 3SE +/- 0.057662, N = 3SE +/- 0.040332, N = 37.3394467.3244517.3914931. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024AutoPrefer CachePrefer Freq0.01870.03740.05610.07480.09350.0830.0810.082

OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512AutoPrefer CachePrefer Freq0.01190.02380.03570.04760.05950.0530.0520.052

OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024AutoPrefer CachePrefer Freq0.01330.02660.03990.05320.06650.0590.0580.059

OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512AutoPrefer CachePrefer Freq0.00740.01480.02220.02960.0370.0330.0330.033

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: 512AutoPrefer CachePrefer Freq246810SE +/- 0.071291, N = 3SE +/- 0.018306, N = 3SE +/- 0.049732, N = 37.1964017.2085997.1955161. (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: 1024AutoPrefer CachePrefer Freq246810SE +/- 0.032079, N = 3SE +/- 0.016609, N = 3SE +/- 0.035806, N = 37.7267387.7263967.7432601. (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: 512AutoPrefer CachePrefer Freq1.18242.36483.54724.72965.912SE +/- 0.033936, N = 3SE +/- 0.017595, N = 3SE +/- 0.035122, N = 35.2552895.1935285.1816071. (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: 1024AutoPrefer CachePrefer Freq1.25122.50243.75365.00486.256SE +/- 0.032795, N = 3SE +/- 0.052075, N = 3SE +/- 0.026611, N = 35.5609095.5499725.5064671. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024AutoPrefer CachePrefer Freq0.00860.01720.02580.03440.0430.0370.0370.038

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512AutoPrefer CachePrefer Freq0.74411.48822.23232.97643.7205SE +/- 0.026295, N = 3SE +/- 0.017434, N = 3SE +/- 0.028257, N = 73.2808743.3072513.2423171. (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: 1024AutoPrefer CachePrefer Freq0.82341.64682.47023.29364.117SE +/- 0.014082, N = 3SE +/- 0.006243, N = 3SE +/- 0.021337, N = 33.6594833.6374613.6545591. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 TestAutoPrefer CachePrefer Freq2K4K6K8K10KSE +/- 17.51, N = 5SE +/- 21.96, N = 5SE +/- 51.45, N = 5110061087111056

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.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeAutoPrefer CachePrefer Freq80160240320400SE +/- 2.65, N = 3SE +/- 2.08, N = 3SE +/- 4.91, N = 33683673691. chrome 110.0.5481.96

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 BenchmarkAutoPrefer CachePrefer Freq510152025SE +/- 0.08, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 320.6320.4620.90

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.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

Liquid-DSP

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 57AutoPrefer CachePrefer Freq2M4M6M8M10M10742594.1810658810.4610683554.21

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 57AutoPrefer CachePrefer Freq3M6M9M12M15M13409954.6813039016.2213130607.00

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 8 - Buffer Length: 256 - Filter Length: 57AutoPrefer CachePrefer Freq160M320M480M640M800MSE +/- 813961.51, N = 3SE +/- 1271434.01, N = 3SE +/- 135441.66, N = 37561300007517333337579833331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 16 - Buffer Length: 256 - Filter Length: 57AutoPrefer CachePrefer Freq300M600M900M1200M1500MSE +/- 3012381.86, N = 3SE +/- 6133605.07, N = 3SE +/- 1880011.82, N = 31485366667147143333314880333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57AutoPrefer CachePrefer Freq300M600M900M1200M1500MSE +/- 971253.49, N = 3SE +/- 1675642.50, N = 3SE +/- 2628265.17, N = 31487700000148566666714886333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Selenium

OpenBenchmarking.orgScore Per Watt, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeAutoPrefer CachePrefer Freq2468106.9366.9016.986

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 SuiteAutoPrefer CachePrefer Freq300K600K900K1200K1500KSE +/- 11338.88, N = 4SE +/- 1625.68, N = 3SE +/- 12155.78, N = 4127049611543411247786

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.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeAutoPrefer CachePrefer Freq70140210280350SE +/- 3.14, N = 3SE +/- 3.84, N = 4SE +/- 4.12, N = 3333.01326.22325.831. chrome 110.0.5481.96

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 BenchmarkAutoPrefer CachePrefer Freq2004006008001000SE +/- 6.01, N = 15SE +/- 9.21, N = 6SE +/- 1.73, N = 3899.73958.48885.61

srsRAN

OpenBenchmarking.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMAutoPrefer CachePrefer Freq2468105.4825.8956.068

OpenBenchmarking.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMAutoPrefer CachePrefer Freq2468105.5326.1296.173

OpenBenchmarking.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMAutoPrefer CachePrefer Freq1.21862.43723.65584.87446.0934.7245.4164.747

OpenBenchmarking.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMAutoPrefer CachePrefer Freq1.26722.53443.80165.06886.3365.6325.4514.936

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMAutoPrefer CachePrefer Freq60120180240300SE +/- 0.89, N = 5SE +/- 3.75, N = 15SE +/- 1.29, N = 5254.8220.7215.91. (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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMAutoPrefer CachePrefer Freq60120180240300SE +/- 2.41, N = 5SE +/- 0.71, N = 4SE +/- 0.87, N = 4264.9222.5223.11. (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 MIMO 64-QAMAutoPrefer CachePrefer Freq50100150200250SE +/- 1.95, N = 4SE +/- 0.47, N = 3SE +/- 0.67, N = 3242.3204.9243.11. (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 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.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMAutoPrefer CachePrefer Freq306090120150SE +/- 0.19, N = 5SE +/- 0.93, N = 15SE +/- 1.16, N = 5127.7126.3143.91. (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

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 CachePrefer Freq80K160K240K320K400K3947663967453959451. (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

Chaos Group V-RAY

OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUAutoPrefer CachePrefer Freq60120180240300260.55261.57256.85

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUAutoPrefer CachePrefer Freq7K14K21K28K35KSE +/- 58.09, N = 3SE +/- 72.19, N = 3SE +/- 97.34, N = 3312243128031238

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3AutoPrefer CachePrefer Freq4080120160200180.86182.29181.12

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3AutoPrefer CachePrefer Freq2K4K6K8K10KSE +/- 16.15, N = 7SE +/- 24.38, N = 7SE +/- 18.86, N = 79039.159073.599066.291. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

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

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 CachePrefer Freq612182430SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 324.8522.6223.391. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigAutoPrefer CachePrefer Freq816243240SE +/- 0.21, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 333.1232.3933.051. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

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 FloatAutoPrefer CachePrefer Freq2004006008001000SE +/- 1.48, N = 3SE +/- 2.07, N = 3SE +/- 0.75, N = 31108.201109.841108.32

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantAutoPrefer CachePrefer Freq30060090012001500SE +/- 6.58, N = 3SE +/- 1.70, N = 3SE +/- 8.09, N = 31626.401622.751627.87

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4AutoPrefer CachePrefer Freq4K8K12K16K20KSE +/- 16.88, N = 3SE +/- 15.43, N = 3SE +/- 12.93, N = 317797.317748.517769.5

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 TimesAutoPrefer CachePrefer Freq120240360480600SE +/- 2.96, N = 4SE +/- 3.30, N = 4SE +/- 4.09, N = 4500562504

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUAutoPrefer CachePrefer Freq130260390520650SE +/- 0.52, N = 3SE +/- 0.31, N = 3SE +/- 0.84, N = 3589.51591.14589.71MIN: 368.88 / MAX: 615.41MIN: 290.4 / MAX: 616.78MIN: 329.37 / MAX: 617.431. (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: CPUAutoPrefer CachePrefer Freq70140210280350SE +/- 0.44, N = 3SE +/- 0.48, N = 3SE +/- 0.10, N = 3305.51305.71306.23MIN: 290.82 / MAX: 316.32MIN: 264.82 / MAX: 314.53MIN: 293.51 / MAX: 313.391. (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: CPUAutoPrefer CachePrefer Freq0.08780.17560.26340.35120.439SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.390.390.39MIN: 0.23 / MAX: 7.84MIN: 0.23 / MAX: 9.35MIN: 0.22 / MAX: 7.761. (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: CPUAutoPrefer CachePrefer Freq0.15080.30160.45240.60320.754SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.670.670.67MIN: 0.37 / MAX: 8.39MIN: 0.37 / MAX: 8.32MIN: 0.34 / MAX: 8.811. (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.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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUAutoPrefer CachePrefer Freq246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.126.126.10MIN: 3.2 / MAX: 14.83MIN: 3.21 / MAX: 13.65MIN: 3.29 / MAX: 13.391. (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 CachePrefer Freq246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.005.985.99MIN: 3.08 / MAX: 13.24MIN: 3.07 / MAX: 15.39MIN: 3.14 / MAX: 13.641. (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.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUAutoPrefer CachePrefer Freq246810SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 38.017.928.05MIN: 4.18 / MAX: 20.46MIN: 4.93 / MAX: 18.91MIN: 3.98 / MAX: 18.881. (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: CPUAutoPrefer CachePrefer Freq1.08452.1693.25354.3385.4225SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.804.824.77MIN: 3.36 / MAX: 13.68MIN: 3.53 / MAX: 14.59MIN: 3.42 / MAX: 11.471. (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

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 TracerAutoPrefer CachePrefer Freq2004006008001000SE +/- 1.33, N = 3SE +/- 1.86, N = 3SE +/- 1.53, N = 39699869841. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAutoPrefer CachePrefer Freq7K14K21K28K35KSE +/- 52.27, N = 3SE +/- 38.68, N = 3SE +/- 68.70, N = 33094331593315511. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAutoPrefer CachePrefer Freq8001600240032004000SE +/- 35.92, N = 3SE +/- 4.58, N = 3SE +/- 0.58, N = 33882394839461. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAutoPrefer CachePrefer Freq30K60K90K120K150KSE +/- 180.00, N = 3SE +/- 114.33, N = 3SE +/- 180.62, N = 31266041296771299001. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAutoPrefer CachePrefer Freq2004006008001000SE +/- 0.00, N = 3SE +/- 1.76, N = 3SE +/- 1.00, N = 398099710011. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAutoPrefer CachePrefer Freq7K14K21K28K35KSE +/- 52.98, N = 3SE +/- 39.37, N = 3SE +/- 33.67, N = 33131132061320051. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAutoPrefer CachePrefer Freq9001800270036004500SE +/- 3.51, N = 3SE +/- 8.89, N = 3SE +/- 7.55, N = 33988399039881. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAutoPrefer CachePrefer Freq30K60K90K120K150KSE +/- 113.14, N = 3SE +/- 123.29, N = 3SE +/- 208.57, N = 31279481315521311991. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerAutoPrefer CachePrefer Freq30060090012001500SE +/- 1.73, N = 3SE +/- 1.86, N = 3SE +/- 1.53, N = 31154115211781. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerAutoPrefer CachePrefer Freq8K16K24K32K40KSE +/- 49.58, N = 3SE +/- 97.48, N = 3SE +/- 63.89, N = 33753537690375881. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerAutoPrefer CachePrefer Freq10002000300040005000SE +/- 3.46, N = 3SE +/- 4.91, N = 3SE +/- 31.34, N = 34581468146291. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerAutoPrefer CachePrefer Freq30K60K90K120K150KSE +/- 142.59, N = 3SE +/- 538.77, N = 3SE +/- 1166.54, N = 31500681536331521481. (CXX) g++ options: -O3 -lm -ldl

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: CPUAutoPrefer CachePrefer Freq1.2212.4423.6634.8846.105SE +/- 0.03961, N = 15SE +/- 0.04406, N = 15SE +/- 0.07946, N = 155.141725.154565.42688MIN: 4.8MIN: 4.87MIN: 5.021. (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: CPUAutoPrefer CachePrefer Freq0.10470.20940.31410.41880.5235SE +/- 0.000909, N = 3SE +/- 0.001471, N = 3SE +/- 0.000410, N = 30.4608110.4644260.465139MIN: 0.44MIN: 0.45MIN: 0.451. (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: CPUAutoPrefer CachePrefer Freq0.1430.2860.4290.5720.715SE +/- 0.001435, N = 9SE +/- 0.001156, N = 9SE +/- 0.001721, N = 90.6344550.6357670.634357MIN: 0.61MIN: 0.62MIN: 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: CPUAutoPrefer CachePrefer Freq0.18520.37040.55560.74080.926SE +/- 0.001866, N = 5SE +/- 0.008538, N = 15SE +/- 0.004461, N = 50.6655170.6646270.823009MIN: 0.62MIN: 0.58MIN: 0.751. (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: CPUAutoPrefer CachePrefer Freq0.03830.07660.11490.15320.1915SE +/- 0.002416, N = 12SE +/- 0.002974, N = 15SE +/- 0.001025, N = 130.1488200.1700310.148585MIN: 0.13MIN: 0.14MIN: 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: CPUAutoPrefer CachePrefer Freq30060090012001500SE +/- 10.71, N = 3SE +/- 5.17, N = 3SE +/- 3.20, N = 31280.481276.221288.24MIN: 1249.8MIN: 1255.9MIN: 1274.091. (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: CPUAutoPrefer CachePrefer Freq30060090012001500SE +/- 3.31, N = 3SE +/- 5.43, N = 3SE +/- 12.75, N = 31280.491286.511279.16MIN: 1262.86MIN: 1267.38MIN: 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: CPUAutoPrefer CachePrefer Freq150300450600750SE +/- 2.26, N = 3SE +/- 3.19, N = 3SE +/- 3.86, N = 3673.24685.42673.16MIN: 666.56MIN: 674.86MIN: 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: CPUAutoPrefer CachePrefer Freq150300450600750SE +/- 7.25, N = 3SE +/- 1.86, N = 3SE +/- 2.87, N = 3674.84683.48678.66MIN: 656.84MIN: 674.73MIN: 670.711. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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: mobilenetAutoPrefer CachePrefer Freq3691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 158.918.929.16MIN: 8.81 / MAX: 9.59MIN: 8.81 / MAX: 14.7MIN: 8.92 / MAX: 10.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2AutoPrefer CachePrefer Freq0.8731.7462.6193.4924.365SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 153.813.823.88MIN: 3.75 / MAX: 4.33MIN: 3.74 / MAX: 4.27MIN: 3.78 / MAX: 7.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3AutoPrefer CachePrefer Freq0.76051.5212.28153.0423.8025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 153.313.333.38MIN: 3.25 / MAX: 3.89MIN: 3.24 / MAX: 3.96MIN: 3.27 / MAX: 3.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2AutoPrefer CachePrefer Freq0.8731.7462.6193.4924.365SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 133.843.843.88MIN: 3.76 / MAX: 4.18MIN: 3.73 / MAX: 4.32MIN: 3.75 / MAX: 9.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0AutoPrefer CachePrefer Freq1.0712.1423.2134.2845.355SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 154.644.664.76MIN: 4.57 / MAX: 5.09MIN: 4.56 / MAX: 10.75MIN: 4.62 / MAX: 5.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceAutoPrefer CachePrefer Freq0.37130.74261.11391.48521.8565SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 151.621.631.65MIN: 1.59 / MAX: 1.99MIN: 1.57 / MAX: 1.98MIN: 1.58 / MAX: 2.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetAutoPrefer CachePrefer Freq246810SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 158.488.478.61MIN: 8.36 / MAX: 9.39MIN: 8.29 / MAX: 9.39MIN: 8.31 / MAX: 9.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16AutoPrefer CachePrefer Freq612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 1524.5124.5724.72MIN: 24.28 / MAX: 37.93MIN: 24.29 / MAX: 29.41MIN: 24.22 / MAX: 59.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18AutoPrefer CachePrefer Freq246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 157.036.907.02MIN: 6.9 / MAX: 7.92MIN: 6.76 / MAX: 7.67MIN: 6.83 / MAX: 10.651. (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: resnet50AutoPrefer CachePrefer Freq3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 1511.6011.4911.61MIN: 11.46 / MAX: 17.5MIN: 11.32 / MAX: 12.4MIN: 11.23 / MAX: 17.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyAutoPrefer CachePrefer Freq48121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 1514.3214.3514.41MIN: 14.06 / MAX: 19.84MIN: 14.11 / MAX: 14.93MIN: 14.02 / MAX: 20.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdAutoPrefer CachePrefer Freq3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 1511.7711.7011.87MIN: 11.6 / MAX: 12.48MIN: 11.52 / MAX: 17.65MIN: 11.61 / MAX: 18.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mAutoPrefer CachePrefer Freq3691215SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 1512.1212.1812.30MIN: 11.83 / MAX: 17.6MIN: 11.67 / MAX: 12.88MIN: 11.79 / MAX: 39.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerAutoPrefer CachePrefer Freq20406080100SE +/- 1.09, N = 3SE +/- 0.91, N = 3SE +/- 0.23, N = 1581.5282.0180.55MIN: 80.09 / MAX: 86.32MIN: 79.65 / MAX: 95.45MIN: 79.58 / MAX: 94.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetAutoPrefer CachePrefer Freq1.07552.1513.22654.3025.3775SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 134.734.754.78MIN: 4.62 / MAX: 9.76MIN: 4.62 / MAX: 5.91MIN: 4.62 / MAX: 10.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetAutoPrefer CachePrefer Freq0.76951.5392.30853.0783.8475SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 153.373.373.42MIN: 3.32 / MAX: 3.78MIN: 3.3 / MAX: 3.84MIN: 3.32 / MAX: 3.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 FacadeAutoPrefer CachePrefer Freq10002000300040005000SE +/- 57.92, N = 15SE +/- 6.68, N = 7SE +/- 2.19, N = 83677451736231. (CXX) g++ options: -O3

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.0Model: LionAutoPrefer CachePrefer Freq8001600240032004000SE +/- 26.74, N = 15SE +/- 23.31, N = 8SE +/- 27.55, N = 153196354331951. (CXX) g++ options: -O3

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 ChromeAutoPrefer CachePrefer Freq246810SE +/- 0.09, N = 3SE +/- 0.08, N = 15SE +/- 0.09, N = 37.247.367.041. 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 ChromeAutoPrefer CachePrefer Freq510152025SE +/- 0.38, N = 15SE +/- 0.30, N = 15SE +/- 0.37, N = 1518.8419.3318.641. chrome 110.0.5481.96

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

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 TreeAutoPrefer CachePrefer Freq2K4K6K8K10KSE +/- 58.84, N = 3SE +/- 79.65, N = 3SE +/- 94.41, N = 47732.77772.77797.2MIN: 5663.78 / MAX: 7847.58MIN: 5787.99 / MAX: 7897.04MIN: 5695.75 / MAX: 7918.79

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IOAutoPrefer CachePrefer Freq7001400210028003500SE +/- 31.81, N = 3SE +/- 47.73, N = 3SE +/- 17.17, N = 33454.13489.03439.3MIN: 3399.67 / MAX: 5374.55MIN: 3424.57 / MAX: 5127.41MIN: 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 ForestAutoPrefer CachePrefer Freq80160240320400SE +/- 0.34, N = 3SE +/- 1.83, N = 3SE +/- 0.54, N = 3391.5391.5388.9MIN: 365 / MAX: 478.75MIN: 353.06 / MAX: 470.48MIN: 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 PageRankAutoPrefer CachePrefer Freq30060090012001500SE +/- 15.84, N = 3SE +/- 2.07, N = 3SE +/- 15.65, N = 31566.91562.21584.1MIN: 1420.34 / MAX: 1721.97MIN: 1439.9 / MAX: 1667.7MIN: 1414.69 / MAX: 1754.86

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Scala DottyAutoPrefer CachePrefer Freq110220330440550SE +/- 9.27, N = 15SE +/- 1.94, N = 3SE +/- 7.93, N = 15475.2521.1470.7MIN: 358.08 / MAX: 752.1MIN: 368.91 / MAX: 746.18MIN: 360.24 / MAX: 753.62

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Finagle HTTP RequestsAutoPrefer CachePrefer Freq400800120016002000SE +/- 12.79, N = 3SE +/- 10.69, N = 3SE +/- 11.77, N = 32083.52096.12080.4MIN: 1911.93 / MAX: 2147.25MIN: 1946.09 / MAX: 2151MIN: 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

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 CachePrefer Freq400800120016002000SE +/- 5.47, N = 3SE +/- 2.74, N = 3SE +/- 6.39, N = 32035.162027.282028.84MIN: 1988.46 / MAX: 2119.14MIN: 1978.04 / MAX: 2109.64MIN: 1972.23 / MAX: 2118.41. (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 v1.1AutoPrefer CachePrefer Freq4080120160200SE +/- 0.42, N = 4SE +/- 1.78, N = 4SE +/- 0.45, N = 4174.11175.72174.63MIN: 173.47 / MAX: 175.49MIN: 172.53 / MAX: 179.14MIN: 173.65 / MAX: 179.741. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2AutoPrefer CachePrefer Freq1020304050SE +/- 0.36, N = 15SE +/- 0.35, N = 9SE +/- 0.43, N = 1542.8442.2543.36MIN: 39.8 / MAX: 45.69MIN: 40.19 / MAX: 43.45MIN: 39.83 / MAX: 47.051. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

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: H2AutoPrefer CachePrefer Freq400800120016002000SE +/- 32.29, N = 20SE +/- 31.69, N = 20SE +/- 36.66, N = 20163215931638

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonAutoPrefer CachePrefer Freq5001000150020002500SE +/- 8.79, N = 9SE +/- 6.57, N = 9SE +/- 3.91, N = 9232923142321

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.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeAutoPrefer CachePrefer Freq7001400210028003500SE +/- 42.95, N = 15SE +/- 42.76, N = 15SE +/- 33.73, N = 153139310331241. chrome 110.0.5481.96

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 TimeAutoPrefer CachePrefer Freq816243240SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 334.8334.9434.861. RawTherapee, version 5.9, command line.

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-onlyAutoPrefer CachePrefer Freq0.55711.11421.67132.22842.7855SE +/- 0.004, N = 9SE +/- 0.005, N = 9SE +/- 0.003, N = 92.4562.4762.452

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Masskrug - Acceleration: CPU-onlyAutoPrefer CachePrefer Freq0.5961.1921.7882.3842.98SE +/- 0.003, N = 9SE +/- 0.008, N = 9SE +/- 0.010, N = 92.6432.6492.636

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Server Room - Acceleration: CPU-onlyAutoPrefer CachePrefer Freq0.52791.05581.58372.11162.6395SE +/- 0.006, N = 9SE +/- 0.006, N = 9SE +/- 0.002, N = 92.3462.3262.331

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.2.0Test: Server Rack - Acceleration: CPU-onlyAutoPrefer CachePrefer Freq0.03510.07020.10530.14040.1755SE +/- 0.000, N = 14SE +/- 0.000, N = 14SE +/- 0.000, N = 140.1520.1560.152

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-maskAutoPrefer CachePrefer Freq3691215SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.05, N = 413.1113.1413.13

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: resizeAutoPrefer CachePrefer Freq3691215SE +/- 0.08, N = 4SE +/- 0.08, N = 4SE +/- 0.09, N = 412.5312.4512.65

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: rotateAutoPrefer CachePrefer Freq3691215SE +/- 0.009, N = 5SE +/- 0.008, N = 5SE +/- 0.017, N = 59.4609.1049.471

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.32Test: auto-levelsAutoPrefer CachePrefer Freq3691215SE +/- 0.04, N = 5SE +/- 0.04, N = 4SE +/- 0.03, N = 410.6410.7710.78

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 TimeAutoPrefer CachePrefer Freq61218243023.2023.9822.931. (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 TimeAutoPrefer CachePrefer Freq306090120150125.82123.66129.421. (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

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 DirectionAutoPrefer CachePrefer Freq1428425670SE +/- 0.26, N = 3SE +/- 0.70, N = 4SE +/- 0.39, N = 360.4760.8261.341. (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

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 DegreesAutoPrefer CachePrefer Freq816243240SE +/- 0.22, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 334.2734.2434.97

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: AntialiasAutoPrefer CachePrefer Freq612182430SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 324.9424.6025.06

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonAutoPrefer CachePrefer Freq1428425670SE +/- 0.19, N = 3SE +/- 0.19, N = 3SE +/- 0.66, N = 361.8962.6062.34

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceAutoPrefer CachePrefer Freq816243240SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 333.4234.2533.60

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropAutoPrefer CachePrefer Freq246810SE +/- 0.010, N = 6SE +/- 0.019, N = 6SE +/- 0.014, N = 66.8906.9336.884

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurAutoPrefer CachePrefer Freq918273645SE +/- 0.39, N = 3SE +/- 0.34, N = 3SE +/- 0.42, N = 339.3439.5139.22

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectAutoPrefer CachePrefer Freq510152025SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 320.5820.7420.37

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassAutoPrefer CachePrefer Freq510152025SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 320.2720.3820.27

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 19AutoPrefer CachePrefer Freq3691215SE +/- 0.03, N = 5SE +/- 0.06, N = 5SE +/- 0.02, N = 510.2011.4510.19

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3AutoPrefer CachePrefer Freq1.18782.37563.56344.75125.939SE +/- 0.003, N = 7SE +/- 0.005, N = 7SE +/- 0.002, N = 75.2795.1305.272

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 3 + Zstd Compression 19AutoPrefer CachePrefer Freq246810SE +/- 0.009, N = 6SE +/- 0.012, N = 5SE +/- 0.080, N = 157.4978.7147.561

OpenBenchmarking.orgSeconds, Fewer Is BetterKTX-Software toktx 4.0Settings: UASTC 4 + Zstd Compression 19AutoPrefer CachePrefer Freq306090120150SE +/- 0.49, N = 3SE +/- 0.12, N = 3SE +/- 0.44, N = 3127.26127.45126.56

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 CachePrefer Freq306090120150SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3126.88126.81126.821. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

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 2020-06-28AutoPrefer CachePrefer Freq3691215SE +/- 0.02, N = 4SE +/- 0.07, N = 4SE +/- 0.15, N = 1512.5712.7713.131. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 7.3.0AutoPrefer CachePrefer Freq1.04692.09383.14074.18765.2345SE +/- 0.007, N = 8SE +/- 0.013, N = 8SE +/- 0.012, N = 84.6524.6534.585

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.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: Google ChromeAutoPrefer CachePrefer Freq0.83251.6652.49753.334.1625SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 43.73.73.71. chrome 110.0.5481.96

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 TimeAutoPrefer CachePrefer Freq1326395265SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 358.9959.1058.961. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

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: 0AutoPrefer CachePrefer Freq20406080100SE +/- 0.56, N = 15SE +/- 0.17, N = 3SE +/- 0.29, N = 373.6776.1771.801. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 2AutoPrefer CachePrefer Freq918273645SE +/- 0.32, N = 8SE +/- 0.31, N = 15SE +/- 0.07, N = 336.2337.1235.941. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6AutoPrefer CachePrefer Freq0.73581.47162.20742.94323.679SE +/- 0.012, N = 9SE +/- 0.013, N = 9SE +/- 0.008, N = 93.2243.2703.2091. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessAutoPrefer CachePrefer Freq1.24132.48263.72394.96526.2065SE +/- 0.036, N = 7SE +/- 0.021, N = 7SE +/- 0.012, N = 75.4885.5175.4211. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessAutoPrefer CachePrefer Freq0.74181.48362.22542.96723.709SE +/- 0.027, N = 15SE +/- 0.022, N = 15SE +/- 0.022, N = 153.2833.2973.2501. (CXX) g++ options: -O3 -fPIC -lm

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 CachePrefer Freq1122334455SE +/- 0.31, N = 3SE +/- 0.32, N = 3SE +/- 0.30, N = 346.5746.1946.43

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigAutoPrefer CachePrefer Freq110220330440550SE +/- 0.26, N = 3SE +/- 0.45, N = 3SE +/- 0.32, N = 3523.31517.73519.52

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 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 CompileAutoPrefer CachePrefer Freq1122334455SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 349.3849.4549.37

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 CompileAutoPrefer CachePrefer Freq510152025SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 321.2121.4421.30

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 CachePrefer Freq510152025SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 321.9621.8221.85

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 CompileAutoPrefer CachePrefer Freq48121620SE +/- 0.05, N = 4SE +/- 0.07, N = 4SE +/- 0.02, N = 415.3415.3515.26

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 ChangepointAutoPrefer CachePrefer Freq3691215SE +/- 0.12, N = 15SE +/- 0.09, N = 4SE +/- 0.14, N = 1511.5011.9511.41

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianAutoPrefer CachePrefer Freq0.77221.54442.31663.08883.861SE +/- 0.020, N = 9SE +/- 0.010, N = 9SE +/- 0.013, N = 93.4143.4093.432

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyAutoPrefer CachePrefer Freq246810SE +/- 0.049, N = 6SE +/- 0.052, N = 6SE +/- 0.015, N = 67.1597.2787.283

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineAutoPrefer CachePrefer Freq1122334455SE +/- 0.45, N = 3SE +/- 0.43, N = 3SE +/- 0.33, N = 345.2347.9946.39

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADAutoPrefer CachePrefer Freq20406080100SE +/- 0.32, N = 3SE +/- 0.40, N = 3SE +/- 0.20, N = 390.6889.8689.95

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSEAutoPrefer CachePrefer Freq510152025SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 319.9020.7819.96

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-OnlyAutoPrefer CachePrefer Freq306090120150SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3138.42138.45138.43

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyAutoPrefer CachePrefer Freq1530456075SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 367.6167.6267.48

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyAutoPrefer CachePrefer Freq4080120160200SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3168.20168.24167.94

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

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

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: SerialAutoPrefer CachePrefer Freq80160240320400331.61360.31366.42

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParallelAutoPrefer CachePrefer Freq306090120150112.05114.03112.34

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 CachePrefer Freq306090120150SE +/- 0.72, N = 3SE +/- 1.26, N = 3SE +/- 1.81, N = 3149.04147.19148.63

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 1,000AutoPrefer CachePrefer Freq816243240SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 334.8434.5236.091. (CC) gcc options: -O2 -lz

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 CachePrefer Freq306090120150SE +/- 0.50, N = 3SE +/- 0.78, N = 3SE +/- 1.17, N = 3145.31143.14143.801. (CC) gcc options: -O2 -fvisibility=hidden

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 MP3AutoPrefer CachePrefer Freq1.09782.19563.29344.39125.489SE +/- 0.019, N = 8SE +/- 0.064, N = 15SE +/- 0.019, N = 84.5674.8794.5621. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -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 CachePrefer Freq306090120150146.31145.15145.59

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialAutoPrefer CachePrefer Freq2040608010084.5884.7984.73

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterAutoPrefer CachePrefer Freq2040608010096.9196.5996.86

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 CompileAutoPrefer CachePrefer Freq1224364860SE +/- 0.37, N = 3SE +/- 0.31, N = 3SE +/- 0.42, N = 355.2955.3555.29

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: 1e12AutoPrefer CachePrefer Freq246810SE +/- 0.005, N = 6SE +/- 0.004, N = 6SE +/- 0.007, N = 66.8626.8686.8451. (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

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 TimeAutoPrefer CachePrefer Freq1.34642.69284.03925.38566.732SE +/- 0.005, N = 7SE +/- 0.004, N = 7SE +/- 0.003, N = 75.9815.9845.9831. (CC) gcc options: -static -fopenmp -O3 -march=native

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 SolveAutoPrefer CachePrefer Freq714212835SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 328.5528.5528.481. (CXX) g++ options: -fopenmp -O2 -march=native

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.xzAutoPrefer CachePrefer Freq0.91221.82442.73663.64884.561SE +/- 0.030, N = 8SE +/- 0.033, N = 9SE +/- 0.011, N = 83.9534.0074.054

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.xzAutoPrefer CachePrefer Freq3691215SE +/- 0.09, N = 4SE +/- 0.03, N = 4SE +/- 0.08, N = 410.4910.7810.72

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 StateAutoPrefer CachePrefer Freq0.02770.05540.08310.11080.1385SE +/- 0.000, N = 4SE +/- 0.000, N = 4SE +/- 0.001, N = 40.1210.1230.122

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 StateAutoPrefer CachePrefer Freq0.16760.33520.50280.67040.838SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 30.7360.7410.745

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingAutoPrefer CachePrefer Freq0.24620.49240.73860.98481.231SE +/- 0.005, N = 3SE +/- 0.008, N = 12SE +/- 0.001, N = 31.0851.0671.094

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 AnalysisAutoPrefer CachePrefer Freq1632486480SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 370.3870.3470.411. (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

562 Results Shown

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