AMD Ryzen 9 7950X3D Modes On Linux

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

HTML result view exported from: https://openbenchmarking.org/result/2302261-NE-7950X3DMO02&grs&rdt.

AMD Ryzen 9 7950X3D Modes On LinuxProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionAutoPrefer CachePrefer FreqAMD 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 12.2.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-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 Disk Details- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa601203Java Details- OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-0ubuntu1)Python Details- Python 3.11.1Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD Ryzen 9 7950X3D Modes On Linuxonednn: IP Shapes 3D - u8s8f32 - CPUsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: OFDM_Testsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMtoktx: UASTC 3 + Zstd Compression 19srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsimdjson: PartialTweetspybench: Total For Average Test Timessrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMtoktx: Zstd Compression 19srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsimdjson: LargeRanddraco: Lionsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMradiance: Serialsimdjson: TopTweetsimdjson: DistinctUserIDphpbench: PHP Benchmark Suitepennant: leblancbigquantlib: gnuradio: FIR Filtersimdjson: Kostyaaskap: tConvolve MT - Griddingnumpy: compress-lz4: 3 - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedencode-mp3: WAV To MP3numenta-nab: Earthgecko Skylineavifenc: 0mt-dgemm: Sustained Floating-Point Rateaom-av1: Speed 6 Realtime - Bosphorus 4Kwebp: Defaultonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUcompress-zstd: 3, Long Mode - Decompression Speedgnuradio: Hilbert Transformnumenta-nab: Bayesian Changepointaom-av1: Speed 9 Realtime - Bosphorus 4Kopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timesqlite-speedtest: Timed Time - Size 1,000selenium: ARES-6 - Google Chromernnoise: numenta-nab: Contextual Anomaly Detector OSEgraphics-magick: HWB Color Spacegnuradio: Signal Source (Cosine)gimp: rotatewebp: Quality 100, Highest Compressionstress-ng: CPU Stressgnuradio: Five Back to Back FIR Filtersbuild-llvm: Unix Makefilesavifenc: 2vpxenc: Speed 5 - Bosphorus 4Kclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runopenvkl: vklBenchmark ISPCluaradio: Five Back to Back FIR Filterstoktx: UASTC 3onnx: GPT-2 - CPU - Standardwebp: Quality 100compress-zstd: 19 - Decompression Speedaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 1080pospray-studio: 2 - 4K - 32 - Path Tracerncnn: CPU - mobilenetunpack-firefox: firefox-84.0.source.tar.xzwebp: Quality 100, Losslessgraphics-magick: Resizingtnn: CPU - SqueezeNet v2darktable: Server Rack - CPU-onlyospray-studio: 1 - 4K - 32 - Path Tracerncnn: CPU - efficientnet-b0unpack-linux: linux-5.19.tar.xzpyhpc: CPU - Numpy - 4194304 - Isoneutral Mixinggegl: Color Enhanceospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracercompress-lz4: 3 - Decompression Speedcompress-zstd: 19 - Compression Speedluxcorerender: Danish Mood - CPUincompact3d: input.i3d 129 Cells Per Directionospray-studio: 3 - 1080p - 1 - Path Tracerpennant: sedovbigselenium: Jetstream 2 - Google Chromeospray-studio: 3 - 4K - 1 - Path Tracernode-web-tooling: gegl: Rotate 90 Degreesospray-studio: 2 - 1080p - 1 - Path Tracerncnn: CPU-v3-v3 - mobilenet-v3ospray-studio: 1 - 1080p - 32 - Path Tracercompress-lz4: 9 - Compression Speedcompress-zstd: 19, Long Mode - Compression Speedcpuminer-opt: Myriad-Groestlstargate: 192000 - 512rav1e: 5gnuradio: FM Deemphasis Filterclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheavifenc: 6ncnn: CPU - resnet18gegl: Antialiasncnn: CPU - blazefacetjbench: Decompression Throughputncnn: CPU-v2-v2 - mobilenet-v2rav1e: 10onednn: Recurrent Neural Network Inference - u8s8f32 - CPUncnn: CPU - vision_transformergegl: Reflectopenems: pyEMS Couplergraphics-magick: Rotateavifenc: 6, Losslessradiance: SMP Parallelospray-studio: 1 - 1080p - 1 - Path Tracernumenta-nab: Relative Entropyluaradio: Complex Phasenode-express-loadtest: ospray-studio: 1 - 4K - 1 - Path Tracernatron: Spaceshipncnn: CPU - alexnetlczero: Eigenopenvino: Vehicle Detection FP16 - CPUcompress-zstd: 3 - Compression Speedpyhpc: CPU - Numpy - 1048576 - Equation of Statencnn: CPU - googlenetopenvino: Vehicle Detection FP16 - CPUgimp: resizegraphics-magick: Swirlstress-ng: Semaphoresgegl: Scalegcrypt: ncnn: CPU - regnety_400mncnn: CPU - mnasnetoctave-benchmark: renaissance: ALS Movie Lenscompress-lz4: 9 - Decompression Speedncnn: CPU - squeezenet_ssdavifenc: 10, Losslessaom-av1: Speed 8 Realtime - Bosphorus 1080prenaissance: Savina Reactors.IOincompact3d: input.i3d 193 Cells Per Directioncpuminer-opt: Ringcoinstargate: 96000 - 512renaissance: Apache Spark PageRankrenaissance: Genetic Algorithm Using Jenetics + Futuresstress-ng: Glibc Qsort Data Sortingvpxenc: Speed 5 - Bosphorus 1080pstress-ng: Glibc C String Functionsstress-ng: Memory Copyinggimp: auto-levelscompress-zstd: 12 - Compression Speedospray: gravity_spheres_volume/dim_512/scivis/real_timecpuminer-opt: Deepcoincompress-zstd: 3, Long Mode - Compression Speedpyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingstress-ng: Socket Activityonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUwireguard: gnuradio: IIR Filterlammps: Rhodopsin Proteinopenvino: Vehicle Detection FP16-INT8 - CPUluaradio: Hilbert Transformgraphics-magick: Enhancedpyhpc: CPU - Numpy - 4194304 - Equation of Statewebp: Quality 100, Lossless, Highest Compressionvpxenc: Speed 0 - Bosphorus 4Kselenium: PSPDFKit WASM - Google Chromegraphics-magick: Noise-Gaussianstress-ng: MEMFDgegl: Cartoonvpxenc: Speed 0 - Bosphorus 1080pstress-ng: Futexaom-av1: Speed 10 Realtime - Bosphorus 1080pliquid-dsp: 16 - 256 - 57ospray: gravity_spheres_volume/dim_512/ao/real_timeaom-av1: Speed 6 Two-Pass - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080px265: Bosphorus 4Kbuild-linux-kernel: allmodconfigopenvino: Vehicle Detection FP16-INT8 - CPUsvt-av1: Preset 8 - Bosphorus 1080pncnn: CPU - FastestDetbuild-mesa: Time To Compileopenvino: Person Vehicle Bike Detection FP16 - CPUncnn: CPU - resnet50ncnn: CPU - shufflenet-v2crafty: Elapsed Timeaom-av1: Speed 6 Realtime - Bosphorus 1080pluxcorerender: DLSC - CPUstargate: 96000 - 1024sysbench: RAM / Memorydarktable: Boat - CPU-onlysvt-vp9: VMAF Optimized - Bosphorus 1080pstress-ng: SENDFILEcompress-zstd: 8, Long Mode - Decompression Speedonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUembree: Pathtracer - Crownrenaissance: Apache Spark ALStnn: CPU - SqueezeNet v1.1askap: tConvolve OpenMP - Griddingstargate: 44100 - 512numenta-nab: KNN CADaom-av1: Speed 8 Realtime - Bosphorus 4Kopenvino: Person Vehicle Bike Detection FP16 - CPUstargate: 44100 - 1024ospray: particle_volume/scivis/real_timedarktable: Server Room - CPU-onlyncnn: CPU - vgg16aom-av1: Speed 4 Two-Pass - Bosphorus 4Kbuild-linux-kernel: defconfigrenaissance: Akka Unbalanced Cobwebbed Treeaom-av1: Speed 0 Two-Pass - Bosphorus 1080pliquid-dsp: 8 - 256 - 57stress-ng: NUMAstress-ng: Matrix Mathappleseed: Emilycompress-zstd: 3 - Decompression Speedluxcorerender: Orange Juice - CPUxmrig: Monero - 1Mrenaissance: Finagle HTTP Requestsgegl: Wavelet Blurcompress-lz4: 1 - Decompression Speedsvt-av1: Preset 12 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080procksdb: Rand Fillgegl: Cropstress-ng: Forkingtoktx: UASTC 4 + Zstd Compression 19openvino: Person Detection FP32 - CPUnumenta-nab: Windowed Gaussianastcenc: Thoroughrenaissance: Rand Forestdacapobench: Jythonbuild-ffmpeg: Time To Compileselenium: WASM collisionDetection - Google Chromecompress-zstd: 12 - Decompression Speedrocksdb: Rand Fill Syncncnn: CPU - yolov4-tinyembree: Pathtracer ISPC - Crownrocksdb: Seq Fillstargate: 192000 - 1024amg: stress-ng: Malloccompress-zstd: 8 - Decompression Speeddav1d: Summer Nature 4Konednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUselenium: Octane - Google Chromeluxcorerender: Rainbow Colors and Prism - CPUsvt-av1: Preset 8 - Bosphorus 4Kbuild-mplayer: Time To Compilegromacs: MPI CPU - water_GMX50_barex264: Bosphorus 4Kindigobench: CPU - Supercarblender: BMW27 - CPU-Onlyopenvino: Person Detection FP32 - CPUgegl: Tile Glasscpuminer-opt: x25xselenium: Speedometer - Google Chromestress-ng: Mutexcompress-7zip: Compression Ratingrav1e: 6openvkl: vklBenchmark Scalarbrl-cad: VGR Performance Metricrenaissance: Apache Spark Bayesdarktable: Masskrug - CPU-onlystress-ng: MMAPx264: Bosphorus 1080popenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUsvt-av1: Preset 4 - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pcompress-zstd: 8 - Compression Speedembree: Pathtracer - Asian Dragonrav1e: 1namd: ATPase Simulation - 327,506 Atomsospray-studio: 3 - 1080p - 32 - Path Traceropenvino: Person Detection FP16 - CPUsvt-hevc: 1 - Bosphorus 1080ptnn: CPU - DenseNetrocksdb: Update Randgraphics-magick: Sharpenlulesh: openvino: Age Gender Recognition Retail 0013 FP16 - CPUaom-av1: Speed 6 Two-Pass - Bosphorus 4Kopenvino: Face Detection FP16 - CPUaskap: tConvolve MT - Degriddingastcenc: Exhaustiverocksdb: Read While Writingopenvino: Person Detection FP16 - CPUrocksdb: Read Rand Write Randsvt-vp9: Visual Quality Optimized - Bosphorus 4Klammps: 20k Atomscompress-7zip: Decompression Ratingkvazaar: Bosphorus 1080p - Super Fastsvt-hevc: 1 - Bosphorus 4Kkvazaar: Bosphorus 1080p - Mediumaskap: Hogbom Clean OpenMPprimesieve: 1e12openvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUappleseed: Material Testerrawtherapee: Total Benchmark Timetnn: CPU - MobileNet v2svt-vp9: PSNR/SSIM Optimized - Bosphorus 4Kopenvino: Weld Porosity Detection FP16-INT8 - CPUcpuminer-opt: Magisvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080px265: Bosphorus 1080ptensorflow-lite: Mobilenet Quantrocksdb: Rand Readdav1d: Chimera 1080p 10-bitkvazaar: Bosphorus 4K - Very Fastospray: gravity_spheres_volume/dim_512/pathtracer/real_timedav1d: Chimera 1080pastcenc: Mediumcompress-zstd: 8, Long Mode - Compression Speedcpuminer-opt: Triple SHA-256, Onecoinstress-ng: Vector Mathsvt-av1: Preset 4 - Bosphorus 4Kospray: particle_volume/pathtracer/real_timeopenvino: Face Detection FP16 - CPUsysbench: CPUtensorflow-lite: Inception V4primesieve: 1e13xmrig: Wownero - 1Mblender: Barbershop - CPU-Onlylczero: BLASopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUm-queens: Time To Solveappleseed: Disney Materialkvazaar: Bosphorus 4K - Slowopenvino: Face Detection FP16-INT8 - CPUsvt-av1: Preset 12 - Bosphorus 1080ptachyon: Total Timegimp: unsharp-maskkvazaar: Bosphorus 4K - Ultra Faststress-ng: Atomiconednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUstargate: 480000 - 1024luxcorerender: LuxCore Benchmark - CPUopenvino: Weld Porosity Detection FP16 - CPUaskap: tConvolve OpenMP - Degriddingblender: Fishy Cat - CPU-Onlyliquid-dsp: 32 - 256 - 57ospray: particle_volume/ao/real_timecpuminer-opt: LBC, LBRY Creditsopenvino: Face Detection FP16-INT8 - CPUsvt-hevc: 10 - Bosphorus 1080pkvazaar: Bosphorus 4K - Mediumstargate: 480000 - 512v-ray: CPUblender: Pabellon Barcelona - CPU-Onlycpuminer-opt: scryptcpuminer-opt: Skeincoinaom-av1: Speed 4 Two-Pass - Bosphorus 1080pdav1d: Summer Nature 1080psvt-hevc: 10 - Bosphorus 4Kcompress-lz4: 1 - Compression Speedindigobench: CPU - Bedroombuild-godot: Time To Compilestress-ng: Cryptokvazaar: Bosphorus 1080p - Slowtensorflow-lite: Mobilenet Floatcpuminer-opt: Quad SHA-256, Pyritesvt-vp9: VMAF Optimized - Bosphorus 4Kkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastbuild-llvm: Ninjakvazaar: Bosphorus 4K - Super Fastbuild2: Time To Compilemrbayes: Primate Phylogeny Analysisselenium: Kraken - Google Chromeembree: Pathtracer ISPC - Asian Dragonastcenc: Fastluaradio: FM Deemphasis Filtergpaw: Carbon Nanotuben-queens: Elapsed Timeospray-studio: 2 - 4K - 1 - Path Tracerhpcg: blender: Classroom - CPU-Onlysvt-hevc: 7 - Bosphorus 4Kselenium: Maze Solver - Google Chromeaom-av1: Speed 0 Two-Pass - Bosphorus 4Kopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMdolfyn: Computational Fluid Dynamicsstress-ng: IO_uringstress-ng: CPU Cachestress-ng: System V Message Passingdeepspeech: CPUcpuminer-opt: Garlicoinhimeno: Poisson Pressure Solverdacapobench: H2renaissance: Scala Dottyselenium: WASM imageConvolute - Google Chromedraco: Church Facadesvt-av1: Preset 13 - Bosphorus 4Konednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - StandardAutoPrefer CachePrefer 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23009223.1241166667243.17.561143.98.53504563.610.191682.2633.31.893195613.0211.5366.4159.7310.06124778623.390174512.41267.75.902322.20885.6173.611835.14.56246.38671.80411.281188102.3226.575.426882267.8687.411.411110.91129.4152422.92550936.0927.0413.13019.96216465008.99.4715.3256651.531352.3276.20935.93521.99321.27323.364192002.55.272183.57017.161990.6108.60241.381311999.1610.7222.23221643.3590.1521299004.764.0541.09433.5983200515214818319.825.44.4614.6181712117833.04655325.828462920.9034.97210013.383155172.8414.9581893.2423174.7251136.9281.133.2097.0225.0551.65344.0802133.8816.744673.15780.5520.37360.9210125.421112.349847.2831071.41105639465.94.741795993.164023.50.1228.618.0512.64711533476539.497.233143.79512.303.424.5857991.418587.511.873.250217.883439.361.34394964152.585.1816071584.11111.3373.0839.834613558.357077.0910.782297.97.56400196701405.50.23435444.42678.655148.626524.716.2521721.24154.64920.7450.8410.1831246051276.1562.34420.394134347.27238.9714880333337.7000268.58796.32434.65519.5164.65195.8124.7821.3014.7711.613.8815387380220.585.055.50646712712.242.452450.47489525.422417.31288.240.46513932.29201857.1174.6276918.417.39149389.95389.871674.007.9966417.530182.33124.7213.2246.4257797.21.20757983333581.60123819.50145.5887332193.47.9216109.42080.439.22319602.6212.522308.0413960246.88472995.04126.5621089.893.43216.1500388.9232121.846228.642469.83947814.4136.240714505993.65455943549493336014622.732423.1399.601279.169554317.5870.48315.2622.69171.7811.85252.257.2920.2651109.9736911172285.001906597.367199395945786.32.636381.37269.5223592.8514.466384.341046.834.62081.1790.81379375887.3722.732028.8379502942619066.293340605.4424.0913.532959.181.701241984541080.713315415109.7616.386177024230.805.8282.64549.4516.8455.996.1096.86082834.859191.659126.632621.901102.64459.41113.421627.87147740017827.9945.928.98056915.11129.53091012.9426480138137.065.298235.283589.71107729.7817769.582.92819658.1488.911931135.6358.9328.47984.7332220.74306.23771.61158.960213.12579.32212527.910.6343577.7432604.781333.2411495.967.4814886333337.5729913661326.09591.0121.197.19551631238167.94641.1126288728.291407.91174.9317314.405.43449.36643758.7679.841108.32291953118.00173.58281.74252.07060.4755.29170.413372.839.7645368.1015527.9126.8205.98339888.33197138.43101.093.70.410.670.39256.0215.911.00129496.7631.9125052017.7335.195163869.374638.2918121638470.718.643623209.9830.14858514.389170.08992.00100499.69722.984743.73585.4623055.593818.31805.53549185.953337.2163.0870282.102112.1816OpenBenchmarking.org

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM

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

srsRAN

Test: OFDM_Test

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

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

KTX-Software toktx

Settings: UASTC 3 + Zstd Compression 19

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

srsRAN

Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM

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

simdjson

Throughput Test: PartialTweets

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

PyBench

Total For Average Test Times

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

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

KTX-Software toktx

Settings: Zstd Compression 19

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

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

simdjson

Throughput Test: LargeRandom

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

Google Draco

Model: Lion

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM

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

srsRAN

Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM

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

Radiance Benchmark

Test: Serial

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialAutoPrefer CachePrefer Freq80160240320400331.61360.31366.42

simdjson

Throughput Test: TopTweet

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

simdjson

Throughput Test: DistinctUserID

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

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteAutoPrefer CachePrefer Freq300K600K900K1200K1500KSE +/- 11338.88, N = 4SE +/- 1625.68, N = 3SE +/- 12155.78, N = 4127049611543411247786

Pennant

Test: leblancbig

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

QuantLib

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

GNU Radio

Test: FIR Filter

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

simdjson

Throughput Test: Kostya

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

ASKAP

Test: tConvolve MT - Gridding

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

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkAutoPrefer CachePrefer Freq2004006008001000SE +/- 6.01, N = 15SE +/- 9.21, N = 6SE +/- 1.73, N = 3899.73958.48885.61

LZ4 Compression

Compression Level: 3 - Compression Speed

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

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

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

LAME MP3 Encoding

WAV To MP3

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

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

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

libavif avifenc

Encoder Speed: 0

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

ACES DGEMM

Sustained Floating-Point Rate

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

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K

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

WebP Image Encode

Encode Settings: Default

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

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

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

Zstd Compression

Compression Level: 3, Long Mode - Decompression Speed

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

GNU Radio

Test: Hilbert Transform

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

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

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

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

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

SQLite Speedtest

Timed Time - Size 1,000

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

Selenium

Benchmark: ARES-6 - Browser: Google Chrome

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

RNNoise

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

Numenta Anomaly Benchmark

Detector: Contextual Anomaly Detector OSE

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

GraphicsMagick

Operation: HWB Color Space

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

GNU Radio

Test: Signal Source (Cosine)

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

GIMP

Test: rotate

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

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

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

Stress-NG

Test: CPU Stress

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

GNU Radio

Test: Five Back to Back FIR Filters

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

Timed LLVM Compilation

Build System: Unix Makefiles

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

libavif avifenc

Encoder Speed: 2

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

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 4K

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

ClickHouse

100M Rows Hits Dataset, Second Run

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

ClickHouse

100M Rows Hits Dataset, Third Run

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

OpenVKL

Benchmark: vklBenchmark ISPC

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

LuaRadio

Test: Five Back to Back FIR Filters

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

KTX-Software toktx

Settings: UASTC 3

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

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

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

WebP Image Encode

Encode Settings: Quality 100

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

Zstd Compression

Compression Level: 19 - Decompression Speed

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

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K

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

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p

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

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer

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

NCNN

Target: CPU - Model: mobilenet

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

Unpacking Firefox

Extracting: firefox-84.0.source.tar.xz

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

WebP Image Encode

Encode Settings: Quality 100, Lossless

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

GraphicsMagick

Operation: Resizing

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

TNN

Target: CPU - Model: SqueezeNet v2

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

Darktable

Test: Server Rack - Acceleration: CPU-only

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

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer

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

NCNN

Target: CPU - Model: efficientnet-b0

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

Unpacking The Linux Kernel

linux-5.19.tar.xz

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

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing

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

GEGL

Operation: Color Enhance

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

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer

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

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer

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

LZ4 Compression

Compression Level: 3 - Decompression Speed

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

Zstd Compression

Compression Level: 19 - Compression Speed

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

LuxCoreRender

Scene: Danish Mood - Acceleration: CPU

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

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

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

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer

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

Pennant

Test: sedovbig

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

Selenium

Benchmark: Jetstream 2 - Browser: Google Chrome

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

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer

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

Node.js V8 Web Tooling Benchmark

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

GEGL

Operation: Rotate 90 Degrees

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

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer

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

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

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

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer

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

LZ4 Compression

Compression Level: 9 - Compression Speed

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

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

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

Cpuminer-Opt

Algorithm: Myriad-Groestl

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

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 512

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

rav1e

Speed: 5

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

GNU Radio

Test: FM Deemphasis Filter

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

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

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

libavif avifenc

Encoder Speed: 6

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

NCNN

Target: CPU - Model: resnet18

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

GEGL

Operation: Antialias

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasAutoPrefer CachePrefer Freq612182430SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 324.9424.6025.06

NCNN

Target: CPU - Model: blazeface

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

libjpeg-turbo tjbench

Test: Decompression Throughput

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

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

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

rav1e

Speed: 10

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

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

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

NCNN

Target: CPU - Model: vision_transformer

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

GEGL

Operation: Reflect

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

OpenEMS

Test: pyEMS Coupler

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

GraphicsMagick

Operation: Rotate

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

libavif avifenc

Encoder Speed: 6, Lossless

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

Radiance Benchmark

Test: SMP Parallel

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

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer

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

Numenta Anomaly Benchmark

Detector: Relative Entropy

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

LuaRadio

Test: Complex Phase

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

Node.js Express HTTP Load Test

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

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer

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

Natron

Input: Spaceship

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

NCNN

Target: CPU - Model: alexnet

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

LeelaChessZero

Backend: Eigen

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

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

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

Zstd Compression

Compression Level: 3 - Compression Speed

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

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State

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

NCNN

Target: CPU - Model: googlenet

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

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

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

GIMP

Test: resize

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

GraphicsMagick

Operation: Swirl

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

Stress-NG

Test: Semaphores

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

GEGL

Operation: Scale

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

Gcrypt Library

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

NCNN

Target: CPU - Model: regnety_400m

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

NCNN

Target: CPU - Model: mnasnet

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

GNU Octave Benchmark

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

Renaissance

Test: ALS Movie Lens

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

LZ4 Compression

Compression Level: 9 - Decompression Speed

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

NCNN

Target: CPU - Model: squeezenet_ssd

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

libavif avifenc

Encoder Speed: 10, Lossless

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

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p

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

Renaissance

Test: Savina Reactors.IO

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

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

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

Cpuminer-Opt

Algorithm: Ringcoin

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

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 512

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

Renaissance

Test: Apache Spark PageRank

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

Renaissance

Test: Genetic Algorithm Using Jenetics + Futures

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

Stress-NG

Test: Glibc Qsort Data Sorting

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

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 1080p

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

Stress-NG

Test: Glibc C String Functions

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

Stress-NG

Test: Memory Copying

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

GIMP

Test: auto-levels

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

Zstd Compression

Compression Level: 12 - Compression Speed

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

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

Cpuminer-Opt

Algorithm: Deepcoin

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

Zstd Compression

Compression Level: 3, Long Mode - Compression Speed

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

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing

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

Stress-NG

Test: Socket Activity

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

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

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

WireGuard + Linux Networking Stack Stress Test

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

GNU Radio

Test: IIR Filter

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

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

LuaRadio

Test: Hilbert Transform

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

GraphicsMagick

Operation: Enhanced

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

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State

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

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

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

VP9 libvpx Encoding

Speed: Speed 0 - Input: Bosphorus 4K

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

Selenium

Benchmark: PSPDFKit WASM - Browser: Google Chrome

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

GraphicsMagick

Operation: Noise-Gaussian

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

Stress-NG

Test: MEMFD

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

GEGL

Operation: Cartoon

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

VP9 libvpx Encoding

Speed: Speed 0 - Input: Bosphorus 1080p

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

Stress-NG

Test: Futex

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

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p

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

Liquid-DSP

Threads: 16 - Buffer Length: 256 - Filter Length: 57

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

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

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p

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

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 1080p

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

x265

Video Input: Bosphorus 4K

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

Timed Linux Kernel Compilation

Build: allmodconfig

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 1080p

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

NCNN

Target: CPU - Model: FastestDet

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

Timed Mesa Compilation

Time To Compile

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

NCNN

Target: CPU - Model: resnet50

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

NCNN

Target: CPU - Model: shufflenet-v2

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

Crafty

Elapsed Time

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

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p

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

LuxCoreRender

Scene: DLSC - Acceleration: CPU

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

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 1024

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

Sysbench

Test: RAM / Memory

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

Darktable

Test: Boat - Acceleration: CPU-only

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

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

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

Stress-NG

Test: SENDFILE

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

Zstd Compression

Compression Level: 8, Long Mode - Decompression Speed

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

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

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

Embree

Binary: Pathtracer - Model: Crown

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

Renaissance

Test: Apache Spark ALS

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

TNN

Target: CPU - Model: SqueezeNet v1.1

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

ASKAP

Test: tConvolve OpenMP - Gridding

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

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 512

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

Numenta Anomaly Benchmark

Detector: KNN CAD

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

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 1024

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

OSPRay

Benchmark: particle_volume/scivis/real_time

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

Darktable

Test: Server Room - Acceleration: CPU-only

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

NCNN

Target: CPU - Model: vgg16

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

AOM AV1

Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K

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

Timed Linux Kernel Compilation

Build: defconfig

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

Renaissance

Test: Akka Unbalanced Cobwebbed Tree

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

AOM AV1

Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p

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

Liquid-DSP

Threads: 8 - Buffer Length: 256 - Filter Length: 57

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

Stress-NG

Test: NUMA

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

Stress-NG

Test: Matrix Math

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

Appleseed

Scene: Emily

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyAutoPrefer CachePrefer Freq306090120150146.31145.15145.59

Zstd Compression

Compression Level: 3 - Decompression Speed

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

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

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

Xmrig

Variant: Monero - Hash Count: 1M

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

Renaissance

Test: Finagle HTTP Requests

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

GEGL

Operation: Wavelet Blur

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

LZ4 Compression

Compression Level: 1 - Decompression Speed

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

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

SVT-HEVC

Tuning: 7 - Input: Bosphorus 1080p

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

RocksDB

Test: Random Fill

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

GEGL

Operation: Crop

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

Stress-NG

Test: Forking

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

KTX-Software toktx

Settings: UASTC 4 + Zstd Compression 19

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

OpenVINO

Model: Person Detection FP32 - Device: CPU

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

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

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

ASTC Encoder

Preset: Thorough

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

Renaissance

Test: Random Forest

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

DaCapo Benchmark

Java Test: Jython

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

Timed FFmpeg Compilation

Time To Compile

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

Selenium

Benchmark: WASM collisionDetection - Browser: Google Chrome

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

Zstd Compression

Compression Level: 12 - Decompression Speed

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

RocksDB

Test: Random Fill Sync

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

NCNN

Target: CPU - Model: yolov4-tiny

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

Embree

Binary: Pathtracer ISPC - Model: Crown

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

RocksDB

Test: Sequential Fill

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

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 1024

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

Algebraic Multi-Grid Benchmark

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

Stress-NG

Test: Malloc

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

Zstd Compression

Compression Level: 8 - Decompression Speed

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

dav1d

Video Input: Summer Nature 4K

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

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

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

Selenium

Benchmark: Octane - Browser: Google Chrome

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

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: CPU

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

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

Timed MPlayer Compilation

Time To Compile

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

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

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

x264

Video Input: Bosphorus 4K

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

IndigoBench

Acceleration: CPU - Scene: Supercar

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

Blender

Blend File: BMW27 - Compute: CPU-Only

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

OpenVINO

Model: Person Detection FP32 - Device: CPU

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

GEGL

Operation: Tile Glass

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

Cpuminer-Opt

Algorithm: x25x

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

Selenium

Benchmark: Speedometer - Browser: Google Chrome

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

Stress-NG

Test: Mutex

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

7-Zip Compression

Test: Compression Rating

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

rav1e

Speed: 6

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

OpenVKL

Benchmark: vklBenchmark Scalar

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

BRL-CAD

VGR Performance Metric

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

Renaissance

Test: Apache Spark Bayes

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

Darktable

Test: Masskrug - Acceleration: CPU-only

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

Stress-NG

Test: MMAP

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

x264

Video Input: Bosphorus 1080p

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

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 1080p

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

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

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

Zstd Compression

Compression Level: 8 - Compression Speed

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

Embree

Binary: Pathtracer - Model: Asian Dragon

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

rav1e

Speed: 1

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

NAMD

ATPase Simulation - 327,506 Atoms

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

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

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

SVT-HEVC

Tuning: 1 - Input: Bosphorus 1080p

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

TNN

Target: CPU - Model: DenseNet

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

RocksDB

Test: Update Random

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

GraphicsMagick

Operation: Sharpen

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

LULESH

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

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

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

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K

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

OpenVINO

Model: Face Detection FP16 - Device: CPU

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

ASKAP

Test: tConvolve MT - Degridding

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

ASTC Encoder

Preset: Exhaustive

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

RocksDB

Test: Read While Writing

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

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

RocksDB

Test: Read Random Write Random

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

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 4K

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

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

7-Zip Compression

Test: Decompression Rating

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

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Super Fast

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

SVT-HEVC

Tuning: 1 - Input: Bosphorus 4K

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

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium

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

ASKAP

Test: Hogbom Clean OpenMP

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

Primesieve

Length: 1e12

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

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

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

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

Appleseed

Scene: Material Tester

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

RawTherapee

Total Benchmark Time

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.

TNN

Target: CPU - Model: MobileNet v2

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

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K

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

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

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

Cpuminer-Opt

Algorithm: Magi

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

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

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

x265

Video Input: Bosphorus 1080p

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

TensorFlow Lite

Model: Mobilenet Quant

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

RocksDB

Test: Random Read

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

dav1d

Video Input: Chimera 1080p 10-bit

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

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

dav1d

Video Input: Chimera 1080p

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

ASTC Encoder

Preset: Medium

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

Zstd Compression

Compression Level: 8, Long Mode - Compression Speed

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

Cpuminer-Opt

Algorithm: Triple SHA-256, Onecoin

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

Stress-NG

Test: Vector Math

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

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

OSPRay

Benchmark: particle_volume/pathtracer/real_time

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

OpenVINO

Model: Face Detection FP16 - Device: CPU

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

Sysbench

Test: CPU

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

TensorFlow Lite

Model: Inception V4

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

Primesieve

Length: 1e13

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

Xmrig

Variant: Wownero - Hash Count: 1M

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

Blender

Blend File: Barbershop - Compute: CPU-Only

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

LeelaChessZero

Backend: BLAS

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

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

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

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

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

m-queens

Time To Solve

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

Appleseed

Scene: Disney Material

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 1080p

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

Tachyon

Total Time

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

GIMP

Test: unsharp-mask

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

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

Stress-NG

Test: Atomic

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

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

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

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 1024

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

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

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

ASKAP

Test: tConvolve OpenMP - Degridding

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

Blender

Blend File: Fishy Cat - Compute: CPU-Only

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

Liquid-DSP

Threads: 32 - Buffer Length: 256 - Filter Length: 57

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

OSPRay

Benchmark: particle_volume/ao/real_time

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

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

SVT-HEVC

Tuning: 10 - Input: Bosphorus 1080p

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

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

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 512

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

Chaos Group V-RAY

Mode: CPU

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

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

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

Cpuminer-Opt

Algorithm: scrypt

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

Cpuminer-Opt

Algorithm: Skeincoin

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

AOM AV1

Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p

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

dav1d

Video Input: Summer Nature 1080p

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

SVT-HEVC

Tuning: 10 - Input: Bosphorus 4K

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

LZ4 Compression

Compression Level: 1 - Compression Speed

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

IndigoBench

Acceleration: CPU - Scene: Bedroom

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

Timed Godot Game Engine Compilation

Time To Compile

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

Stress-NG

Test: Crypto

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

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Slow

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

TensorFlow Lite

Model: Mobilenet Float

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

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

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

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 4K

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

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Very Fast

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

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

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

Timed LLVM Compilation

Build System: Ninja

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Super Fast

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

Build2

Time To Compile

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

Timed MrBayes Analysis

Primate Phylogeny Analysis

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

Selenium

Benchmark: Kraken - Browser: Google Chrome

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

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

ASTC Encoder

Preset: Fast

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

LuaRadio

Test: FM Deemphasis Filter

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

GPAW

Input: Carbon Nanotube

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

N-Queens

Elapsed Time

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

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer

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

High Performance Conjugate Gradient

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

Blender

Blend File: Classroom - Compute: CPU-Only

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

SVT-HEVC

Tuning: 7 - Input: Bosphorus 4K

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

Selenium

Benchmark: Maze Solver - Browser: Google Chrome

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

AOM AV1

Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K

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

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

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

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

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

GNU Octave Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto18.042.563.7Prefer Cache17.742.863.5Prefer Freq18.736.755.7OpenBenchmarking.orgWatts, Fewer Is BetterGNU Octave Benchmark 7.3.0CPU Power Consumption Monitor20406080100

dav1d

CPU Power Consumption Monitor

MinAvgMaxAuto18.964.688.3Prefer Cache19.164.284.9Prefer Freq11.264.484.2OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor20406080100

dav1d

Video Input: Chimera 1080p 10-bit

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

dav1d

CPU Power Consumption Monitor

MinAvgMaxAuto18.352.0102.9Prefer Cache18.551.4102.3Prefer Freq18.851.6103.0OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor20406080100

dav1d

Video Input: Summer Nature 1080p

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

dav1d

CPU Power Consumption Monitor

MinAvgMaxAuto20.674.2103.8Prefer Cache20.474.3103.3Prefer Freq18.773.7102.6OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor20406080100

dav1d

Video Input: Summer Nature 4K

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

dav1d

CPU Power Consumption Monitor

MinAvgMaxAuto20.764.988.7Prefer Cache19.464.585.6Prefer Freq18.264.486.9OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 1.1CPU Power Consumption Monitor20406080100

dav1d

Video Input: Chimera 1080p

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

GIMP

CPU Power Consumption Monitor

MinAvgMaxAuto20.245.158.3Prefer Cache19.044.758.3Prefer Freq18.844.557.3OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.32CPU Power Consumption Monitor1632486480

GIMP

CPU Power Consumption Monitor

MinAvgMaxAuto20.238.451.7Prefer Cache20.043.954.3Prefer Freq18.637.846.1OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.32CPU Power Consumption Monitor1530456075

GIMP

CPU Power Consumption Monitor

MinAvgMaxAuto21.349.569.9Prefer Cache21.050.972.3Prefer Freq19.649.068.4OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.32CPU Power Consumption Monitor20406080100

GIMP

CPU Power Consumption Monitor

MinAvgMaxAuto21.448.662.2Prefer Cache20.248.262.4Prefer Freq21.348.362.1OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.32CPU Power Consumption Monitor20406080100

Darktable

CPU Power Consumption Monitor

MinAvgMaxAuto21.227.948.3Prefer Cache19.328.753.7Prefer Freq21.027.547.8OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.0CPU Power Consumption Monitor1530456075

Darktable

CPU Power Consumption Monitor

MinAvgMaxAuto15.145.089.9Prefer Cache20.146.391.5Prefer Freq21.045.090.9OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.0CPU Power Consumption Monitor20406080100

Darktable

CPU Power Consumption Monitor

MinAvgMaxAuto18.847.288.7Prefer Cache20.248.493.1Prefer Freq21.047.189.6OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.0CPU Power Consumption Monitor20406080100

Darktable

CPU Power Consumption Monitor

MinAvgMaxAuto19.352.8115.3Prefer Cache21.353.5115.8Prefer Freq17.553.0120.7OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.2.0CPU Power Consumption Monitor4080120160200

Timed MrBayes Analysis

CPU Power Consumption Monitor

MinAvgMaxAuto19.5117.8125.6Prefer Cache18.2117.9125.5Prefer Freq19.0121.6131.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed MrBayes Analysis 3.2.7CPU Power Consumption Monitor4080120160200

PyHPC Benchmarks

CPU Power Consumption Monitor

MinAvgMaxAuto19.156.460.2Prefer Cache19.655.260.6Prefer Freq19.157.161.3OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor20406080100

PyHPC Benchmarks

CPU Power Consumption Monitor

MinAvgMaxAuto20.856.263.7Prefer Cache20.254.960.5Prefer Freq20.456.464.9OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor20406080100

PyHPC Benchmarks

CPU Power Consumption Monitor

MinAvgMaxAuto20.650.161.1Prefer Cache21.450.059.7Prefer Freq21.247.259.5OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor20406080100

PyHPC Benchmarks

CPU Power Consumption Monitor

MinAvgMaxAuto20.553.762.2Prefer Cache17.653.662.8Prefer Freq21.154.262.9OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor20406080100

Unpacking Firefox

CPU Power Consumption Monitor

MinAvgMaxAuto21.343.164.4Prefer Cache20.439.056.2Prefer Freq21.240.258.0OpenBenchmarking.orgWatts, Fewer Is BetterUnpacking Firefox 84.0CPU Power Consumption Monitor20406080100

Unpacking The Linux Kernel

CPU Power Consumption Monitor

MinAvgMaxAuto21.136.560.7Prefer Cache17.635.160.9Prefer Freq17.834.952.0OpenBenchmarking.orgWatts, Fewer Is BetterUnpacking The Linux Kernel 5.19CPU Power Consumption Monitor20406080100

libjpeg-turbo tjbench

CPU Power Consumption Monitor

MinAvgMaxAuto17.750.558.4Prefer Cache19.152.758.2Prefer Freq19.051.957.6OpenBenchmarking.orgWatts, Fewer Is Betterlibjpeg-turbo tjbench 2.1.0CPU Power Consumption Monitor1632486480

libjpeg-turbo tjbench

Test: Decompression Throughput

OpenBenchmarking.orgMegapixels/sec Per Watt, More Is Betterlibjpeg-turbo tjbench 2.1.0Test: Decompression ThroughputAutoPrefer CachePrefer Freq2468106.6906.4926.626

TNN

CPU Power Consumption Monitor

MinAvgMaxAuto18.937.657.9Prefer Cache19.236.957.8Prefer Freq18.336.857.8OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor1632486480

TNN

CPU Power Consumption Monitor

MinAvgMaxAuto19.847.756.7Prefer Cache20.247.456.1Prefer Freq19.047.656.5OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor1632486480

TNN

CPU Power Consumption Monitor

MinAvgMaxAuto20.249.662.2Prefer Cache20.348.261.2Prefer Freq19.649.161.6OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor20406080100

TNN

CPU Power Consumption Monitor

MinAvgMaxAuto21.153.357.5Prefer Cache19.954.257.5Prefer Freq20.251.854.2OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.3CPU Power Consumption Monitor1632486480

Natron

CPU Power Consumption Monitor

MinAvgMaxAuto18.282.0128.7Prefer Cache16.282.2128.6Prefer Freq21.281.9123.2OpenBenchmarking.orgWatts, Fewer Is BetterNatron 2.4.3CPU Power Consumption Monitor4080120160200

Natron

Input: Spaceship

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

m-queens

CPU Power Consumption Monitor

MinAvgMaxAuto19.9116.8134.3Prefer Cache17.6114.7134.6Prefer Freq21.6113.1127.9OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor4080120160200

N-Queens

CPU Power Consumption Monitor

MinAvgMaxAuto18.582.6129.9Prefer Cache19.281.8123.6Prefer Freq17.682.3123.6OpenBenchmarking.orgWatts, Fewer Is BetterN-Queens 1.0CPU Power Consumption Monitor4080120160200

Primesieve

CPU Power Consumption Monitor

MinAvgMaxAuto14.4124.2130.5Prefer Cache20.8119.8130.1Prefer Freq18.5119.7129.9OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption Monitor4080120160200

Primesieve

CPU Power Consumption Monitor

MinAvgMaxAuto20.785.6128.0Prefer Cache19.584.6127.3Prefer Freq19.486.3127.8OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption Monitor4080120160200

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxAuto20.495.7121.7Prefer Cache20.295.7120.9Prefer Freq19.896.6124.7OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor4080120160200

ACES DGEMM

Sustained Floating-Point Rate

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

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxAuto20.5123.1134.5Prefer Cache20.8122.9134.5Prefer Freq14.2123.4134.5OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor4080120160200

LuxCoreRender

Scene: Danish Mood - Acceleration: CPU

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

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxAuto19.3125.6137.0Prefer Cache16.2125.4136.4Prefer Freq20.8125.7137.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor4080120160200

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUAutoPrefer CachePrefer Freq0.01420.02840.04260.05680.0710.0630.0630.063

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxAuto18.8126.1137.3Prefer Cache16.9126.7137.3Prefer Freq19.2126.3137.1OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor4080120160200

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

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

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxAuto19.787.6123.9Prefer Cache19.187.4124.0Prefer Freq19.588.4124.2OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor4080120160200

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUAutoPrefer CachePrefer Freq0.04550.0910.13650.1820.22750.2000.2020.199

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxAuto20.5126.4137.6Prefer Cache21.0126.9137.6Prefer Freq18.8127.6138.6OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor4080120160200

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUAutoPrefer CachePrefer Freq0.0090.0180.0270.0360.0450.040.040.04

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxAuto21.7111.0135.2Prefer Cache21.0115.6134.9Prefer Freq20.3112.1134.8OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor4080120160200

Liquid-DSP

Threads: 32 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57AutoPrefer CachePrefer Freq3M6M9M12M15M13396736.1312847126.3113275170.18

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxAuto21.5110.8134.9Prefer Cache20.2112.8137.9Prefer Freq20.3113.3136.8OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor4080120160200

Liquid-DSP

Threads: 16 - Buffer Length: 256 - Filter Length: 57

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

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxAuto21.570.481.7Prefer Cache20.470.581.2Prefer Freq21.470.981.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor20406080100

Liquid-DSP

Threads: 8 - Buffer Length: 256 - Filter Length: 57

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

OpenVKL

CPU Power Consumption Monitor

MinAvgMaxAuto18.7100.2125.5Prefer Cache19.2100.1125.4Prefer Freq21.199.9126.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 1.3.1CPU Power Consumption Monitor4080120160200

OpenVKL

Benchmark: vklBenchmark ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCAutoPrefer CachePrefer Freq0.94341.88682.83023.77364.7174.0604.0644.193

OpenVKL

CPU Power Consumption Monitor

MinAvgMaxAuto19.0104.2126.3Prefer Cache18.8104.2126.1Prefer Freq19.1104.1126.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 1.3.1CPU Power Consumption Monitor4080120160200

OpenVKL

Benchmark: vklBenchmark Scalar

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ScalarAutoPrefer CachePrefer Freq0.430.861.291.722.151.9011.9011.911

Build2

CPU Power Consumption Monitor

MinAvgMaxAuto19.5100.1131.2Prefer Cache21.5100.4131.7Prefer Freq19.3100.6133.5OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.13CPU Power Consumption Monitor4080120160200

Chaos Group V-RAY

CPU Power Consumption Monitor

MinAvgMaxAuto20.2119.8140.2Prefer Cache20.7119.6139.8Prefer Freq20.8121.6140.5OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor4080120160200

Chaos Group V-RAY

Mode: CPU

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

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxAuto20.2128.0138.2Prefer Cache18.3127.6137.7Prefer Freq21.8128.1138.3OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor4080120160200

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomAutoPrefer CachePrefer Freq0.00970.01940.02910.03880.04850.0420.0430.042

IndigoBench

CPU Power Consumption Monitor

MinAvgMaxAuto21.3126.0135.8Prefer Cache19.9125.8135.5Prefer Freq19.2125.8136.0OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor4080120160200

IndigoBench

Acceleration: CPU - Scene: Supercar

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

Appleseed

CPU Power Consumption Monitor

MinAvgMaxAuto22.9117.3123.1Prefer Cache22.4116.4122.0Prefer Freq22.0116.9122.7OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor4080120160200

Appleseed

CPU Power Consumption Monitor

MinAvgMaxAuto22.5121.8130.6Prefer Cache21.4121.7130.2Prefer Freq21.9122.1129.8OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor4080120160200

Appleseed

CPU Power Consumption Monitor

MinAvgMaxAuto20.2118.2134.1Prefer Cache21.7118.2133.7Prefer Freq19.9118.3134.0OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor4080120160200

srsRAN

CPU Power Consumption Monitor

MinAvgMaxAuto17.438.141.4Prefer Cache19.538.041.4Prefer Freq21.653.961.4OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor20406080100

srsRAN

Test: OFDM_Test

OpenBenchmarking.orgSamples / Second Per Watt, More Is BettersrsRAN 22.04.1Test: OFDM_TestAutoPrefer CachePrefer Freq1.2M2.4M3.6M4.8M6M5315025.175375956.834471489.24

srsRAN

CPU Power Consumption Monitor

MinAvgMaxAuto18.335.840.9Prefer Cache18.436.356.0Prefer Freq19.746.356.6OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor1632486480

srsRAN

Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM

OpenBenchmarking.orgUE Mb/s Per Watt, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMAutoPrefer CachePrefer Freq0.80331.60662.40993.21324.01653.5703.4823.106

srsRAN

CPU Power Consumption Monitor

MinAvgMaxAuto19.038.240.9Prefer Cache19.040.957.4Prefer Freq21.351.957.5OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor1632486480

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM

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

srsRAN

CPU Power Consumption Monitor

MinAvgMaxAuto19.551.357.8Prefer Cache21.637.840.8Prefer Freq19.751.257.6OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor1632486480

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

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

srsRAN

CPU Power Consumption Monitor

MinAvgMaxAuto19.447.957.6Prefer Cache21.336.340.8Prefer Freq19.036.140.7OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor1632486480

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM

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

srsRAN

CPU Power Consumption Monitor

MinAvgMaxAuto19.846.558.0Prefer Cache10.637.457.9Prefer Freq18.935.642.0OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN 22.04.1CPU Power Consumption Monitor1632486480

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

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

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxAuto21.6111.7119.6Prefer Cache20.5112.4120.5Prefer Freq21.0112.5120.4OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor4080120160200

GraphicsMagick

Operation: Swirl

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: SwirlAutoPrefer CachePrefer Freq369121510.2410.3410.25

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxAuto20.8109.2118.3Prefer Cache20.6109.4118.5Prefer Freq20.0109.7119.9OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor4080120160200

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: SharpenAutoPrefer CachePrefer Freq0.53661.07321.60982.14642.6832.3822.3852.380

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxAuto19.553.156.1Prefer Cache19.144.055.9Prefer Freq21.541.142.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor1632486480

GraphicsMagick

Operation: Rotate

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: RotateAutoPrefer CachePrefer Freq61218243019.4223.3524.63

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxAuto20.097.7111.2Prefer Cache20.298.1111.1Prefer Freq11.4101.1111.9OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor4080120160200

GraphicsMagick

Operation: Resizing

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: ResizingAutoPrefer CachePrefer Freq51015202522.2022.0121.92

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxAuto15.7107.2116.5Prefer Cache21.5107.1116.3Prefer Freq18.7108.1117.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor4080120160200

GraphicsMagick

Operation: Enhanced

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

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxAuto19.0102.9109.6Prefer Cache20.1103.8110.5Prefer Freq19.0103.1111.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100

GraphicsMagick

Operation: Noise-Gaussian

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

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxAuto16.864.368.2Prefer Cache20.665.969.8Prefer Freq21.664.768.7OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100

GraphicsMagick

Operation: HWB Color Space

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

LAME MP3 Encoding

CPU Power Consumption Monitor

MinAvgMaxAuto20.940.557.6Prefer Cache18.436.257.6Prefer Freq16.140.359.9OpenBenchmarking.orgWatts, Fewer Is BetterLAME MP3 Encoding 3.100CPU Power Consumption Monitor1632486480

Gcrypt Library

CPU Power Consumption Monitor

MinAvgMaxAuto17.252.458.0Prefer Cache19.952.258.1Prefer Freq19.252.157.8OpenBenchmarking.orgWatts, Fewer Is BetterGcrypt Library 1.9CPU Power Consumption Monitor1632486480

SQLite Speedtest

CPU Power Consumption Monitor

MinAvgMaxAuto18.952.758.8Prefer Cache20.954.258.9Prefer Freq19.440.744.0OpenBenchmarking.orgWatts, Fewer Is BetterSQLite Speedtest 3.30CPU Power Consumption Monitor1632486480

WireGuard + Linux Networking Stack Stress Test

CPU Power Consumption Monitor

MinAvgMaxAuto20.174.688.1Prefer Cache20.774.686.9Prefer Freq20.674.687.9OpenBenchmarking.orgWatts, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Power Consumption Monitor20406080100

Radiance Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto21.055.858.7Prefer Cache20.554.758.4Prefer Freq22.255.959.4OpenBenchmarking.orgWatts, Fewer Is BetterRadiance Benchmark 5.0CPU Power Consumption Monitor1632486480

Radiance Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto21.458.059.0Prefer Cache22.041.244.3Prefer Freq21.641.145.3OpenBenchmarking.orgWatts, Fewer Is BetterRadiance Benchmark 5.0CPU Power Consumption Monitor1632486480

Dolfyn

CPU Power Consumption Monitor

MinAvgMaxAuto16.842.659.9Prefer Cache19.742.759.9Prefer Freq17.542.759.9OpenBenchmarking.orgWatts, Fewer Is BetterDolfyn 0.527CPU Power Consumption Monitor1632486480

Dolfyn

Computational Fluid Dynamics

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

Numpy Benchmark

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption MonitorAutoPrefer CachePrefer Freq1224364860Min: 16.58 / Avg: 43.57 / Max: 61.64Min: 17.49 / Avg: 56.95 / Max: 61.76Min: 17.32 / Avg: 41.61 / Max: 59.03

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkAutoPrefer CachePrefer Freq51015202520.6516.8321.28

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto20.2109.3121.7Prefer Cache20.2108.6122.0Prefer Freq19.5109.4122.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: Mutex

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: MutexAutoPrefer CachePrefer Freq20K40K60K80K100K102249.41103449.38102136.17

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto19.082.091.9Prefer Cache18.482.392.4Prefer Freq19.182.793.0OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

Stress-NG

Test: Futex

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: FutexAutoPrefer CachePrefer Freq11K22K33K44K55K49850.5350075.8150005.44

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto18.956.663.0Prefer Cache19.456.363.3Prefer Freq19.855.662.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

Stress-NG

Test: IO_uring

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: IO_uringAutoPrefer CachePrefer Freq120240360480600575.56559.19530.42

Stress-NG

Test: IO_uring

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto21.0116.7131.1Prefer Cache20.6119.4137.7Prefer Freq18.0116.8130.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: SENDFILE

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: SENDFILEAutoPrefer CachePrefer Freq90018002700360045004154.494065.844192.08

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto17.5113.6133.3Prefer Cache16.8113.2133.3Prefer Freq19.1113.5128.1OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: NUMA

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: NUMAAutoPrefer CachePrefer Freq1.15272.30543.45814.61085.76355.0895.0975.123

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto19.279.888.9Prefer Cache18.079.388.5Prefer Freq20.879.588.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

Stress-NG

Test: MMAP

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: MMAPAutoPrefer CachePrefer Freq1.07962.15923.23884.31845.3984.7774.7874.798

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto19.377.085.5Prefer Cache19.176.687.3Prefer Freq21.077.689.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

Stress-NG

Test: MEMFD

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto21.2116.9135.2Prefer Cache20.0118.7135.0Prefer Freq22.2115.5129.0OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: Malloc

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto17.069.588.8Prefer Cache20.769.489.0Prefer Freq20.661.589.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

Stress-NG

Test: CPU Cache

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

Stress-NG

Test: CPU Cache

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto18.468.577.3Prefer Cache21.269.177.3Prefer Freq17.769.077.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

Stress-NG

Test: Atomic

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.14.06Test: AtomicAutoPrefer CachePrefer Freq70014002100280035003106.573072.533081.49

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto20.0115.3135.0Prefer Cache17.8117.2135.2Prefer Freq20.1115.1134.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: Socket Activity

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto21.068.476.5Prefer Cache20.568.976.2Prefer Freq21.770.077.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

Stress-NG

Test: Semaphores

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto18.584.196.0Prefer Cache20.484.5104.2Prefer Freq21.184.294.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

Stress-NG

Test: System V Message Passing

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

Stress-NG

Test: System V Message Passing

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto19.195.1106.8Prefer Cache20.094.4106.2Prefer Freq21.095.4107.3OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

Stress-NG

Test: Forking

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto19.7124.5143.5Prefer Cache18.8122.4142.1Prefer Freq18.2124.5142.6OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: Matrix Math

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto21.0109.7122.5Prefer Cache20.2111.8128.5Prefer Freq18.9110.1122.9OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: Vector Math

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto20.8121.5139.8Prefer Cache19.3122.7141.3Prefer Freq17.0124.4141.5OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: Glibc C String Functions

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto19.8114.6128.7Prefer Cache18.8119.9136.4Prefer Freq18.2117.3135.2OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: Glibc Qsort Data Sorting

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto20.985.098.1Prefer Cache18.484.897.1Prefer Freq17.985.095.7OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor20406080100

Stress-NG

Test: Memory Copying

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto21.2104.0116.5Prefer Cache20.4103.7117.2Prefer Freq19.0106.1122.8OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: Crypto

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

Stress-NG

CPU Power Consumption Monitor

MinAvgMaxAuto17.498.4114.1Prefer Cache19.798.6112.4Prefer Freq20.397.7111.3OpenBenchmarking.orgWatts, Fewer Is BetterStress-NG 0.14.06CPU Power Consumption Monitor4080120160200

Stress-NG

Test: CPU Stress

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

DeepSpeech

CPU Power Consumption Monitor

MinAvgMaxAuto18.450.861.8Prefer Cache20.242.850.6Prefer Freq21.143.058.4OpenBenchmarking.orgWatts, Fewer Is BetterDeepSpeech 0.6CPU Power Consumption Monitor20406080100

DeepSpeech

Acceleration: CPU

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

Blender

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption MonitorAutoPrefer CachePrefer Freq306090120150Min: 21.06 / Avg: 132.09 / Max: 137.35Min: 20.47 / Avg: 131.69 / Max: 137.48Min: 20.75 / Avg: 130.02 / Max: 137.68

Blender

CPU Power Consumption Monitor

MinAvgMaxAuto21.4136.3143.4Prefer Cache18.2137.2143.1Prefer Freq19.4137.1143.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption Monitor4080120160200

Blender

CPU Power Consumption Monitor

MinAvgMaxAuto21.6131.1142.2Prefer Cache18.6131.3142.6Prefer Freq18.5132.4142.4OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption Monitor4080120160200

Blender

CPU Power Consumption Monitor

MinAvgMaxAuto19.7133.1137.5Prefer Cache21.0130.3137.3Prefer Freq20.4131.5137.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption Monitor4080120160200

Blender

CPU Power Consumption Monitor

MinAvgMaxAuto19.9129.4140.1Prefer Cache20.6129.3140.0Prefer Freq19.8129.3139.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.4CPU Power Consumption Monitor4080120160200

rav1e

CPU Power Consumption Monitor

MinAvgMaxAuto19.665.0114.9Prefer Cache21.064.4110.7Prefer Freq21.164.8109.4OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.6.1CPU Power Consumption Monitor4080120160200

rav1e

Speed: 1

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

rav1e

CPU Power Consumption Monitor

MinAvgMaxAuto21.150.879.3Prefer Cache21.150.679.8Prefer Freq21.751.582.0OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.6.1CPU Power Consumption Monitor20406080100

rav1e

Speed: 5

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

rav1e

CPU Power Consumption Monitor

MinAvgMaxAuto20.748.466.8Prefer Cache18.248.465.3Prefer Freq11.048.768.4OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.6.1CPU Power Consumption Monitor20406080100

rav1e

Speed: 6

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

rav1e

CPU Power Consumption Monitor

MinAvgMaxAuto21.344.161.8Prefer Cache19.744.462.2Prefer Freq15.843.860.7OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.6.1CPU Power Consumption Monitor20406080100

rav1e

Speed: 10

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

Numenta Anomaly Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto18.359.3130.6Prefer Cache20.055.2136.4Prefer Freq18.058.4129.0OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor4080120160200

Numenta Anomaly Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto16.1106.8127.8Prefer Cache20.8108.0127.5Prefer Freq19.5107.8128.9OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor4080120160200

Numenta Anomaly Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto20.790.2140.3Prefer Cache19.685.0132.8Prefer Freq19.187.9141.2OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor4080120160200

Numenta Anomaly Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto19.960.8130.0Prefer Cache21.060.6130.1Prefer Freq19.360.4130.3OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor4080120160200

Numenta Anomaly Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto20.460.4139.9Prefer Cache20.561.3139.1Prefer Freq20.260.1139.4OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor4080120160200

Numenta Anomaly Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto20.967.4128.4Prefer Cache21.366.9135.4Prefer Freq18.568.2129.3OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor4080120160200

Embree

CPU Power Consumption Monitor

MinAvgMaxAuto21.7113.9136.0Prefer Cache21.5112.0136.2Prefer Freq17.6113.9136.0OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.0CPU Power Consumption Monitor4080120160200

Embree

Binary: Pathtracer ISPC - Model: Crown

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

Embree

CPU Power Consumption Monitor

MinAvgMaxAuto17.6102.9126.0Prefer Cache17.3103.0125.8Prefer Freq19.8102.7125.5OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.0CPU Power Consumption Monitor4080120160200

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

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

Embree

CPU Power Consumption Monitor

MinAvgMaxAuto20.0117.8138.8Prefer Cache18.4116.8138.7Prefer Freq20.7117.6139.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.0CPU Power Consumption Monitor4080120160200

Embree

Binary: Pathtracer - Model: Crown

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

Embree

CPU Power Consumption Monitor

MinAvgMaxAuto20.7107.7129.3Prefer Cache19.5107.7129.8Prefer Freq20.6108.5129.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.0CPU Power Consumption Monitor4080120160200

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.0Binary: Pathtracer - Model: Asian DragonAutoPrefer CachePrefer Freq0.07220.14440.21660.28880.3610.3200.3210.319

Stargate Digital Audio Workstation

CPU Power Consumption Monitor

MinAvgMaxAuto20.099.0113.3Prefer Cache20.999.3113.0Prefer Freq20.097.1113.2OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor4080120160200

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 1024

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

Stargate Digital Audio Workstation

CPU Power Consumption Monitor

MinAvgMaxAuto21.398.0115.0Prefer Cache20.0101.2116.0Prefer Freq20.997.7115.3OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor4080120160200

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 512

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

Stargate Digital Audio Workstation

CPU Power Consumption Monitor

MinAvgMaxAuto20.894.6113.0Prefer Cache20.295.4114.0Prefer Freq21.493.3111.6OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor4080120160200

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 1024

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

Stargate Digital Audio Workstation

CPU Power Consumption Monitor

MinAvgMaxAuto12.399.9118.1Prefer Cache20.9100.7118.8Prefer Freq19.598.7118.4OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor4080120160200

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 512

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

Stargate Digital Audio Workstation

CPU Power Consumption Monitor

MinAvgMaxAuto21.093.6115.4Prefer Cache21.394.8115.4Prefer Freq19.894.5115.2OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor4080120160200

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 1024

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

Stargate Digital Audio Workstation

CPU Power Consumption Monitor

MinAvgMaxAuto21.294.7114.8Prefer Cache18.395.0114.9Prefer Freq19.094.4114.7OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor4080120160200

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 512

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

Stargate Digital Audio Workstation

CPU Power Consumption Monitor

MinAvgMaxAuto19.493.6114.7Prefer Cache19.394.5113.9Prefer Freq21.492.7114.2OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor4080120160200

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 1024

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

Stargate Digital Audio Workstation

CPU Power Consumption Monitor

MinAvgMaxAuto20.193.1112.5Prefer Cache18.493.0112.7Prefer Freq20.092.8113.1OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor4080120160200

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 512

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

OpenEMS

CPU Power Consumption Monitor

MinAvgMaxAuto20.481.3101.1Prefer Cache19.081.193.1Prefer Freq20.480.493.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenEMS 0.0.35-86CPU Power Consumption Monitor20406080100

OpenEMS

Test: pyEMS Coupler

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

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto20.072.799.7Prefer Cache18.272.0103.6Prefer Freq19.873.5104.4OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor20406080100

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

RocksDB

CPU Power Consumption Monitor

MinAvgMaxAuto19.4113.6124.2Prefer Cache20.7113.8123.7Prefer Freq20.1113.9123.8OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor4080120160200

RocksDB

Test: Update Random

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

RocksDB

CPU Power Consumption Monitor

MinAvgMaxAuto20.4117.7126.3Prefer Cache20.4118.0126.1Prefer Freq20.6117.9126.6OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor4080120160200

RocksDB

Test: Read Random Write Random

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

RocksDB

CPU Power Consumption Monitor

MinAvgMaxAuto20.6118.4139.2Prefer Cache20.7119.1140.0Prefer Freq22.0119.1138.2OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor4080120160200

RocksDB

Test: Read While Writing

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

RocksDB

CPU Power Consumption Monitor

MinAvgMaxAuto20.8128.0135.7Prefer Cache21.0125.7135.8Prefer Freq21.3128.0136.1OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor4080120160200

RocksDB

Test: Random Read

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

RocksDB

CPU Power Consumption Monitor

MinAvgMaxAuto20.854.060.2Prefer Cache21.153.958.8Prefer Freq18.454.159.7OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor1632486480

RocksDB

Test: Random Fill Sync

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

RocksDB

CPU Power Consumption Monitor

MinAvgMaxAuto17.9107.8118.1Prefer Cache20.6108.1118.3Prefer Freq18.8108.3118.0OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor4080120160200

RocksDB

Test: Random Fill

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

RocksDB

CPU Power Consumption Monitor

MinAvgMaxAuto18.6100.4117.7Prefer Cache13.9100.7117.5Prefer Freq16.899.7117.3OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 7.9.2CPU Power Consumption Monitor4080120160200

RocksDB

Test: Sequential Fill

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

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto19.3110.4126.7Prefer Cache18.5107.5120.9Prefer Freq20.0107.8120.8OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor4080120160200

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

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

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto20.4112.3125.7Prefer Cache18.9115.9131.3Prefer Freq19.0114.1131.7OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor4080120160200

Cpuminer-Opt

Algorithm: Skeincoin

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

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto19.9108.9127.7Prefer Cache21.1106.4120.0Prefer Freq20.7106.5120.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor4080120160200

Cpuminer-Opt

Algorithm: Deepcoin

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

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto21.7107.4120.8Prefer Cache20.5109.2127.1Prefer Freq16.1108.9126.1OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor4080120160200

Cpuminer-Opt

Algorithm: Ringcoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinAutoPrefer CachePrefer Freq91827364538.7538.5838.12

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto22.095.9107.9Prefer Cache17.594.9107.7Prefer Freq20.894.8108.6OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor20406080100

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinAutoPrefer CachePrefer Freq91827364540.0739.8540.80

Cpuminer-Opt

Algorithm: Garlicoin

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

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto20.5106.9119.7Prefer Cache18.7107.1119.7Prefer Freq18.3105.8119.6OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor4080120160200

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xAutoPrefer CachePrefer Freq369121510.3910.4210.49

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto17.8115.6129.7Prefer Cache20.2115.9130.2Prefer Freq18.0115.6130.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor4080120160200

Cpuminer-Opt

Algorithm: Magi

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiAutoPrefer CachePrefer Freq36912159.5289.5339.537

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto18.392.3106.2Prefer Cache18.591.8106.2Prefer Freq18.891.8106.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor20406080100

Cpuminer-Opt

Algorithm: Myriad-Groestl

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlAutoPrefer CachePrefer Freq140280420560700642.91640.64634.05

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto19.9108.0124.9Prefer Cache19.3106.4118.9Prefer Freq20.7106.7118.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor4080120160200

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteAutoPrefer CachePrefer Freq60012001800240030002700.612745.002737.33

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto20.2113.0130.0Prefer Cache21.8110.7123.7Prefer Freq22.0112.1129.8OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor4080120160200

Cpuminer-Opt

Algorithm: Triple SHA-256, Onecoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinAutoPrefer CachePrefer Freq80016002400320040003763.553843.003805.43

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMaxAuto20.9110.8126.9Prefer Cache21.1112.6126.4Prefer Freq21.1111.7127.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.20.3CPU Power Consumption Monitor4080120160200

Cpuminer-Opt

Algorithm: scrypt

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptAutoPrefer CachePrefer Freq1.29922.59843.89765.19686.4965.7745.6905.739

Timed MPlayer Compilation

CPU Power Consumption Monitor

MinAvgMaxAuto20.695.3136.8Prefer Cache21.395.1136.8Prefer Freq21.094.1130.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed MPlayer Compilation 1.5CPU Power Consumption Monitor4080120160200

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxAuto21.093.6130.1Prefer Cache19.596.2137.0Prefer Freq20.995.6136.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.4CPU Power Consumption Monitor4080120160200

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMaxAuto21.494.2128.3Prefer Cache22.093.5128.9Prefer Freq20.794.6128.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor4080120160200

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMaxAuto17.5103.7132.8Prefer Cache19.7104.8128.3Prefer Freq19.1105.6134.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor4080120160200

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxAuto20.7107.9133.1Prefer Cache20.3108.2133.3Prefer Freq19.6109.8133.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption Monitor4080120160200

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxAuto19.2115.5132.8Prefer Cache21.3116.6133.3Prefer Freq20.6116.1133.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption Monitor4080120160200

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorAutoPrefer CachePrefer Freq306090120150Min: 18.8 / Avg: 124.44 / Max: 129.87Min: 21.18 / Avg: 126.44 / Max: 136.56Min: 18.71 / Avg: 126.27 / Max: 136.28

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxAuto20.3100.0129.5Prefer Cache18.0101.0136.6Prefer Freq19.899.2129.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor4080120160200

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxAuto20.0108.8130.5Prefer Cache20.8111.3130.7Prefer Freq18.6109.8130.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor4080120160200

ASTC Encoder

Preset: Exhaustive

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

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxAuto17.598.6129.4Prefer Cache19.598.5129.6Prefer Freq19.2100.3130.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor4080120160200

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ThoroughAutoPrefer CachePrefer Freq0.03690.07380.11070.14760.18450.1630.1640.161

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxAuto18.368.5130.3Prefer Cache19.268.6128.8Prefer Freq20.368.2129.7OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor4080120160200

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: MediumAutoPrefer CachePrefer Freq0.42730.85461.28191.70922.13651.8851.8821.899

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxAuto19.187.8129.5Prefer Cache20.389.5130.1Prefer Freq20.988.7129.6OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor4080120160200

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: FastAutoPrefer CachePrefer Freq0.9431.8862.8293.7724.7154.1914.1164.152

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxAuto19.945.9115.5Prefer Cache19.545.5113.7Prefer Freq20.346.3121.8OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.11CPU Power Consumption Monitor4080120160200

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxAuto20.263.3134.5Prefer Cache21.363.1128.2Prefer Freq21.564.3129.1OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.11CPU Power Consumption Monitor4080120160200

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxAuto20.659.8135.5Prefer Cache21.060.0135.5Prefer Freq19.759.2129.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.11CPU Power Consumption Monitor4080120160200

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxAuto20.084.8134.1Prefer Cache18.381.3133.9Prefer Freq19.885.5127.5OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.11CPU Power Consumption Monitor4080120160200

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxAuto19.191.5132.8Prefer Cache20.287.0132.3Prefer Freq18.794.8127.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.11CPU Power Consumption Monitor4080120160200

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxAuto21.045.451.6Prefer Cache20.345.354.6Prefer Freq21.345.257.7OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor1632486480

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

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

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxAuto21.045.958.4Prefer Cache20.545.758.4Prefer Freq20.144.059.9OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor1632486480

WebP Image Encode

Encode Settings: Quality 100, Lossless

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

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxAuto18.340.858.8Prefer Cache17.440.758.6Prefer Freq18.437.558.4OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor1632486480

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

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

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxAuto18.630.857.2Prefer Cache10.629.857.9Prefer Freq18.531.158.2OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor1632486480

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100AutoPrefer CachePrefer Freq0.1280.2560.3840.5120.640.5660.5690.551

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxAuto18.828.654.9Prefer Cache17.128.749.3Prefer Freq18.227.655.6OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor1530456075

WebP Image Encode

Encode Settings: Default

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

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorAutoPrefer CachePrefer Freq20406080100Min: 13.74 / Avg: 127.66 / Max: 131.25Min: 20.71 / Avg: 127.72 / Max: 130.81Min: 19.83 / Avg: 128.11 / Max: 131.08

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

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

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxAuto18.346.7127.7Prefer Cache18.346.7130.3Prefer Freq19.846.7128.3OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor4080120160200

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

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

Tachyon

CPU Power Consumption Monitor

MinAvgMaxAuto21.2124.0137.5Prefer Cache19.3122.0130.1Prefer Freq21.2122.2130.0OpenBenchmarking.orgWatts, Fewer Is BetterTachyon 0.99.2CPU Power Consumption Monitor4080120160200

Crafty

CPU Power Consumption Monitor

MinAvgMaxAuto17.849.358.2Prefer Cache20.049.058.5Prefer Freq15.848.958.3OpenBenchmarking.orgWatts, Fewer Is BetterCrafty 25.2CPU Power Consumption Monitor1632486480

Crafty

Elapsed Time

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

Himeno Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto15.750.156.6Prefer Cache16.851.956.5Prefer Freq17.040.944.7OpenBenchmarking.orgWatts, Fewer Is BetterHimeno Benchmark 3.0CPU Power Consumption Monitor1632486480

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverAutoPrefer CachePrefer Freq306090120150106.8799.43113.46

Himeno Benchmark

Poisson Pressure Solver

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

DaCapo Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto19.137.773.0Prefer Cache18.337.772.5Prefer Freq18.437.573.0OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor20406080100

DaCapo Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto18.737.361.0Prefer Cache17.637.260.4Prefer Freq19.637.359.6OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor20406080100

DaCapo Benchmark

Java Test: H2

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

Renaissance

CPU Power Consumption Monitor

MinAvgMaxAuto20.758.886.1Prefer Cache19.959.289.1Prefer Freq18.058.987.8OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor20406080100

Renaissance

CPU Power Consumption Monitor

MinAvgMaxAuto17.156.561.0Prefer Cache21.256.762.0Prefer Freq19.656.761.2OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor20406080100

Renaissance

CPU Power Consumption Monitor

MinAvgMaxAuto21.2112.2136.0Prefer Cache21.2112.0135.3Prefer Freq19.8111.4136.1OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor4080120160200

Renaissance

CPU Power Consumption Monitor

MinAvgMaxAuto15.949.991.7Prefer Cache20.150.390.8Prefer Freq19.950.090.4OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor20406080100

Renaissance

Test: Scala Dotty

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

Renaissance

CPU Power Consumption Monitor

MinAvgMaxAuto17.755.870.0Prefer Cache19.555.770.2Prefer Freq19.755.469.5OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor20406080100

Renaissance

CPU Power Consumption Monitor

MinAvgMaxAuto17.484.2108.5Prefer Cache20.285.8109.6Prefer Freq20.585.1108.9OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor20406080100

Renaissance

CPU Power Consumption Monitor

MinAvgMaxAuto19.750.879.0Prefer Cache20.850.581.4Prefer Freq20.451.075.4OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor20406080100

Renaissance

CPU Power Consumption Monitor

MinAvgMaxAuto20.770.980.6Prefer Cache17.671.283.2Prefer Freq19.571.282.6OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor20406080100

Renaissance

CPU Power Consumption Monitor

MinAvgMaxAuto21.252.875.1Prefer Cache16.152.575.6Prefer Freq20.453.079.0OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor20406080100

Renaissance

CPU Power Consumption Monitor

MinAvgMaxAuto19.383.094.7Prefer Cache19.383.094.6Prefer Freq14.682.993.3OpenBenchmarking.orgWatts, Fewer Is BetterRenaissance 0.14CPU Power Consumption Monitor20406080100

LULESH

CPU Power Consumption Monitor

MinAvgMaxAuto20.050.072.5Prefer Cache21.049.872.4Prefer Freq19.550.172.4OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor20406080100

LULESH

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

QuantLib

CPU Power Consumption Monitor

MinAvgMaxAuto20.038.241.9Prefer Cache17.750.958.7Prefer Freq21.350.357.3OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.21CPU Power Consumption Monitor1632486480

QuantLib

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.21AutoPrefer CachePrefer Freq20406080100109.1989.9489.64

simdjson

CPU Power Consumption Monitor

MinAvgMaxAuto21.340.842.3Prefer Cache21.556.659.5Prefer Freq21.156.760.3OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor20406080100

simdjson

Throughput Test: TopTweet

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

simdjson

CPU Power Consumption Monitor

MinAvgMaxAuto21.340.942.4Prefer Cache20.941.042.6Prefer Freq20.856.860.0OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor1632486480

simdjson

Throughput Test: DistinctUserID

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

simdjson

CPU Power Consumption Monitor

MinAvgMaxAuto20.944.545.8Prefer Cache19.558.060.2Prefer Freq20.057.459.4OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor1632486480

simdjson

Throughput Test: Kostya

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

simdjson

CPU Power Consumption Monitor

MinAvgMaxAuto20.043.044.4Prefer Cache21.057.359.5Prefer Freq20.156.959.1OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor1632486480

simdjson

Throughput Test: LargeRandom

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

simdjson

CPU Power Consumption Monitor

MinAvgMaxAuto21.057.460.1Prefer Cache20.740.541.9Prefer Freq20.255.958.9OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor1632486480

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsAutoPrefer CachePrefer Freq0.04230.08460.12690.16920.21150.1510.1880.153

Selenium

CPU Power Consumption Monitor

MinAvgMaxAuto16.133.257.8Prefer Cache18.133.051.3Prefer Freq18.933.053.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1632486480

Selenium

CPU Power Consumption Monitor

MinAvgMaxAuto19.927.751.6Prefer Cache18.227.546.9Prefer Freq19.627.648.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1530456075

Selenium

Benchmark: WASM imageConvolute - Browser: Google Chrome

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

Selenium

CPU Power Consumption Monitor

MinAvgMaxAuto18.933.557.4Prefer Cache20.734.057.1Prefer Freq20.733.556.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1632486480

Selenium

CPU Power Consumption Monitor

MinAvgMaxAuto18.838.757.7Prefer Cache16.639.058.5Prefer Freq18.139.160.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor20406080100

Selenium

CPU Power Consumption Monitor

MinAvgMaxAuto19.329.342.5Prefer Cache19.128.742.6Prefer Freq19.029.545.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1224364860

Selenium

CPU Power Consumption Monitor

MinAvgMaxAuto19.848.085.8Prefer Cache20.647.385.9Prefer Freq22.146.685.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor20406080100

Selenium

Benchmark: Jetstream 2 - Browser: Google Chrome

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

Selenium

CPU Power Consumption Monitor

MinAvgMaxAuto17.941.563.0Prefer Cache19.442.059.9Prefer Freq20.841.759.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor20406080100

Selenium

Benchmark: Octane - Browser: Google Chrome

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

Selenium

CPU Power Consumption Monitor

MinAvgMaxAuto17.737.251.2Prefer Cache19.137.750.8Prefer Freq21.737.154.0OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1530456075

Selenium

Benchmark: Speedometer - Browser: Google Chrome

OpenBenchmarking.orgRuns Per Minute Per Watt, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeAutoPrefer CachePrefer Freq36912159.8949.7309.951

Selenium

CPU Power Consumption Monitor

MinAvgMaxAuto19.338.857.0Prefer Cache18.338.258.3Prefer Freq18.139.958.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1632486480

TensorFlow Lite

CPU Power Consumption Monitor

MinAvgMaxAuto19.6103.3109.7Prefer Cache19.8102.9109.2Prefer Freq19.6102.9109.1OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

TensorFlow Lite

CPU Power Consumption Monitor

MinAvgMaxAuto21.7114.5123.6Prefer Cache19.0116.9124.1Prefer Freq20.3116.3124.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor4080120160200

TensorFlow Lite

CPU Power Consumption Monitor

MinAvgMaxAuto20.690.197.8Prefer Cache19.790.498.3Prefer Freq21.091.497.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

RNNoise

CPU Power Consumption Monitor

MinAvgMaxAuto11.646.254.7Prefer Cache19.947.456.0Prefer Freq20.444.256.3OpenBenchmarking.orgWatts, Fewer Is BetterRNNoise 2020-06-28CPU Power Consumption Monitor1632486480

PyBench

CPU Power Consumption Monitor

MinAvgMaxAuto20.948.357.9Prefer Cache20.636.942.2Prefer Freq22.348.558.3OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor1632486480

PHPBench

CPU Power Consumption Monitor

MinAvgMaxAuto20.150.458.6Prefer Cache20.838.042.8Prefer Freq18.850.758.9OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor1632486480

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteAutoPrefer CachePrefer Freq7K14K21K28K35K25207.6830353.4324625.92

Node.js V8 Web Tooling Benchmark

CPU Power Consumption Monitor

MinAvgMaxAuto19.346.356.9Prefer Cache20.944.653.0Prefer Freq19.547.057.7OpenBenchmarking.orgWatts, Fewer Is BetterNode.js V8 Web Tooling BenchmarkCPU Power Consumption Monitor1632486480

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s Per Watt, More Is BetterNode.js V8 Web Tooling BenchmarkAutoPrefer CachePrefer Freq0.10330.20660.30990.41320.51650.4460.4590.445

Node.js Express HTTP Load Test

CPU Power Consumption Monitor

MinAvgMaxAuto17.342.653.3Prefer Cache18.842.754.1Prefer Freq19.342.653.5OpenBenchmarking.orgWatts, Fewer Is BetterNode.js Express HTTP Load TestCPU Power Consumption Monitor1530456075

Node.js Express HTTP Load Test

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterNode.js Express HTTP Load TestAutoPrefer CachePrefer Freq60120180240300258.46254.63259.79

LuaRadio

CPU Power Consumption Monitor

MinAvgMaxAuto19.053.967.1Prefer Cache19.555.168.3Prefer Freq19.854.073.0OpenBenchmarking.orgWatts, Fewer Is BetterLuaRadio 0.9.1CPU Power Consumption Monitor20406080100

LuaRadio

Test: Complex Phase

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

GNU Radio

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterGNU RadioCPU Power Consumption MonitorAutoPrefer CachePrefer Freq1224364860Min: 17.83 / Avg: 47.96 / Max: 62.96Min: 19.55 / Avg: 48.17 / Max: 60.99Min: 19.95 / Avg: 45.6 / Max: 61.62

GNU Radio

Test: Hilbert Transform

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterGNU RadioTest: Hilbert TransformAutoPrefer CachePrefer Freq4812162015.0214.9715.07

Sysbench

CPU Power Consumption Monitor

MinAvgMaxAuto19.758.181.2Prefer Cache18.358.182.8Prefer Freq20.358.581.0OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor20406080100

Sysbench

Test: RAM / Memory

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

Sysbench

CPU Power Consumption Monitor

MinAvgMaxAuto20.996.199.9Prefer Cache19.496.099.8Prefer Freq19.395.9100.1OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor20406080100

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 1.0.20Test: CPUAutoPrefer CachePrefer Freq20040060080010001118.521119.361123.78

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxAuto18.877.1134.0Prefer Cache21.077.1134.3Prefer Freq19.176.6134.5OpenBenchmarking.orgWatts, Fewer Is BetterClickHouse 22.12.3.5CPU Power Consumption Monitor4080120160200

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunAutoPrefer CachePrefer Freq0.94971.89942.84913.79884.74854.0694.0794.221

GPAW

CPU Power Consumption Monitor

MinAvgMaxAuto20.1102.3130.7Prefer Cache17.9102.2130.0Prefer Freq20.8102.3128.9OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 22.1CPU Power Consumption Monitor4080120160200

KTX-Software toktx

CPU Power Consumption Monitor

MinAvgMaxAuto22.1109.8115.9Prefer Cache21.4111.8121.5Prefer Freq20.0110.2116.0OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor4080120160200

KTX-Software toktx

CPU Power Consumption Monitor

MinAvgMaxAuto20.958.5124.8Prefer Cache21.161.1119.0Prefer Freq20.159.2125.5OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor4080120160200

KTX-Software toktx

CPU Power Consumption Monitor

MinAvgMaxAuto18.762.7125.1Prefer Cache17.464.3125.0Prefer Freq20.963.4125.4OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor4080120160200

KTX-Software toktx

CPU Power Consumption Monitor

MinAvgMaxAuto17.837.143.3Prefer Cache17.946.657.4Prefer Freq20.836.843.4OpenBenchmarking.orgWatts, Fewer Is BetterKTX-Software toktx 4.0CPU Power Consumption Monitor1632486480

Google Draco

CPU Power Consumption Monitor

MinAvgMaxAuto18.532.355.5Prefer Cache19.637.955.7Prefer Freq18.332.453.3OpenBenchmarking.orgWatts, Fewer Is BetterGoogle Draco 1.5.0CPU Power Consumption Monitor1632486480

Google Draco

CPU Power Consumption Monitor

MinAvgMaxAuto19.332.955.8Prefer Cache18.639.056.6Prefer Freq18.232.243.3OpenBenchmarking.orgWatts, Fewer Is BetterGoogle Draco 1.5.0CPU Power Consumption Monitor1632486480

Google Draco

Model: Church Facade

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

GEGL

CPU Power Consumption Monitor

MinAvgMaxAuto20.049.163.3Prefer Cache19.348.263.3Prefer Freq19.548.965.3OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

GEGL

CPU Power Consumption Monitor

MinAvgMaxAuto20.545.461.2Prefer Cache19.544.458.7Prefer Freq20.246.560.0OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

GEGL

CPU Power Consumption Monitor

MinAvgMaxAuto20.949.564.1Prefer Cache21.249.763.5Prefer Freq20.050.463.1OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

GEGL

CPU Power Consumption Monitor

MinAvgMaxAuto21.446.265.5Prefer Cache20.445.766.5Prefer Freq20.646.065.5OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

GEGL

CPU Power Consumption Monitor

MinAvgMaxAuto21.650.361.5Prefer Cache21.646.961.8Prefer Freq21.649.562.1OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

GEGL

CPU Power Consumption Monitor

MinAvgMaxAuto20.054.278.2Prefer Cache17.552.377.7Prefer Freq21.152.477.0OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

GEGL

CPU Power Consumption Monitor

MinAvgMaxAuto19.149.467.0Prefer Cache20.050.867.4Prefer Freq19.948.765.8OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

GEGL

CPU Power Consumption Monitor

MinAvgMaxAuto19.247.568.4Prefer Cache19.948.268.4Prefer Freq18.748.268.9OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

GEGL

CPU Power Consumption Monitor

MinAvgMaxAuto19.853.876.1Prefer Cache19.353.974.3Prefer Freq19.454.977.2OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor20406080100

LeelaChessZero

CPU Power Consumption Monitor

MinAvgMaxAuto19.593.0106.6Prefer Cache20.392.7107.2Prefer Freq19.092.7106.6OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor20406080100

LeelaChessZero

Backend: Eigen

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

LeelaChessZero

CPU Power Consumption Monitor

MinAvgMaxAuto21.088.0105.1Prefer Cache18.687.8105.8Prefer Freq20.287.4105.6OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor20406080100

LeelaChessZero

Backend: BLAS

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

NAMD

CPU Power Consumption Monitor

MinAvgMaxAuto18.1123.4141.1Prefer Cache20.7124.1141.4Prefer Freq21.0122.8141.4OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor4080120160200

GROMACS

CPU Power Consumption Monitor

MinAvgMaxAuto18.1110.8122.7Prefer Cache10.9110.9126.4Prefer Freq20.0110.0121.7OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023CPU Power Consumption Monitor4080120160200

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

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

x265

CPU Power Consumption Monitor

MinAvgMaxAuto20.681.0101.4Prefer Cache20.881.799.1Prefer Freq20.181.3101.3OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor20406080100

x265

Video Input: Bosphorus 4K

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

x265

CPU Power Consumption Monitor

MinAvgMaxAuto20.456.885.6Prefer Cache19.456.284.5Prefer Freq19.256.285.5OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor20406080100

x265

Video Input: Bosphorus 1080p

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

x264

CPU Power Consumption Monitor

MinAvgMaxAuto20.985.7128.9Prefer Cache20.585.8128.7Prefer Freq20.185.2129.4OpenBenchmarking.orgWatts, Fewer Is Betterx264 2022-02-22CPU Power Consumption Monitor4080120160200

x264

Video Input: Bosphorus 4K

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

x264

CPU Power Consumption Monitor

MinAvgMaxAuto17.252.8118.1Prefer Cache18.752.7115.2Prefer Freq21.253.2118.5OpenBenchmarking.orgWatts, Fewer Is Betterx264 2022-02-22CPU Power Consumption Monitor4080120160200

x264

Video Input: Bosphorus 1080p

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

VP9 libvpx Encoding

CPU Power Consumption Monitor

MinAvgMaxAuto20.468.373.4Prefer Cache18.968.373.7Prefer Freq19.768.173.0OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.13CPU Power Consumption Monitor20406080100

VP9 libvpx Encoding

Speed: Speed 0 - Input: Bosphorus 4K

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

VP9 libvpx Encoding

CPU Power Consumption Monitor

MinAvgMaxAuto18.063.170.7Prefer Cache19.963.271.2Prefer Freq17.863.170.9OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.13CPU Power Consumption Monitor20406080100

VP9 libvpx Encoding

Speed: Speed 0 - Input: Bosphorus 1080p

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

VP9 libvpx Encoding

CPU Power Consumption Monitor

MinAvgMaxAuto18.458.165.5Prefer Cache21.058.766.2Prefer Freq18.458.565.5OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.13CPU Power Consumption Monitor20406080100

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 4K

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

VP9 libvpx Encoding

CPU Power Consumption Monitor

MinAvgMaxAuto19.846.253.8Prefer Cache21.546.754.2Prefer Freq20.046.653.9OpenBenchmarking.orgWatts, Fewer Is BetterVP9 libvpx Encoding 1.13CPU Power Consumption Monitor1530456075

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 1080p

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

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxAuto18.966.3106.4Prefer Cache20.566.0107.7Prefer Freq19.565.9105.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor20406080100

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 4K

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

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxAuto21.344.0110.6Prefer Cache20.944.0110.8Prefer Freq19.943.0109.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor20406080100

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

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

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxAuto21.264.9108.2Prefer Cache19.865.1106.8Prefer Freq21.064.7107.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor20406080100

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K

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

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxAuto17.643.4110.9Prefer Cache19.343.5109.9Prefer Freq21.443.8109.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor20406080100

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

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

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxAuto18.872.8116.4Prefer Cache18.172.1118.3Prefer Freq17.972.2115.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor4080120160200

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 4K

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

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxAuto19.946.7112.8Prefer Cache20.446.6111.8Prefer Freq18.346.8113.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor4080120160200

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

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

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxAuto20.663.1114.9Prefer Cache20.062.7115.1Prefer Freq19.262.7115.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor4080120160200

SVT-HEVC

Tuning: 10 - Input: Bosphorus 4K

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-HEVC

CPU Power Consumption Monitor

MinAvgMaxAuto20.241.6116.4Prefer Cache21.141.5119.3Prefer Freq18.841.9115.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor4080120160200

SVT-HEVC

Tuning: 10 - Input: Bosphorus 1080p

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

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxAuto21.580.9128.8Prefer Cache20.980.5129.1Prefer Freq20.481.5127.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor4080120160200

SVT-HEVC

Tuning: 7 - Input: Bosphorus 4K

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

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxAuto20.655.8127.5Prefer Cache20.254.9127.0Prefer Freq21.554.8125.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor4080120160200

SVT-HEVC

Tuning: 7 - Input: Bosphorus 1080p

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

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxAuto18.5125.2131.7Prefer Cache21.6125.3132.0Prefer Freq18.6125.0131.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor4080120160200

SVT-HEVC

Tuning: 1 - Input: Bosphorus 4K

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

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxAuto20.6112.5133.1Prefer Cache20.8112.6137.3Prefer Freq20.2113.4135.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor4080120160200

SVT-HEVC

Tuning: 1 - Input: Bosphorus 1080p

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

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxAuto20.484.1122.1Prefer Cache19.384.7125.4Prefer Freq20.984.5128.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor4080120160200

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

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-AV1

CPU Power Consumption Monitor

MinAvgMaxAuto17.563.496.2Prefer Cache19.362.796.0Prefer Freq20.863.596.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor20406080100

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 1080p

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

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxAuto17.675.2115.3Prefer Cache17.575.0114.8Prefer Freq11.674.4115.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor4080120160200

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

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

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxAuto17.755.7110.3Prefer Cache19.555.9108.7Prefer Freq18.555.6110.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor20406080100

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 1080p

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

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxAuto18.751.7102.5Prefer Cache18.651.3102.8Prefer Freq19.452.8103.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor20406080100

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

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

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxAuto18.733.880.5Prefer Cache19.333.380.7Prefer Freq19.434.380.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor20406080100

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 1080p

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

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxAuto19.251.097.0Prefer Cache19.951.498.0Prefer Freq18.950.897.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor20406080100

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

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

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxAuto20.633.376.5Prefer Cache20.132.977.8Prefer Freq21.032.876.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.4CPU Power Consumption Monitor20406080100

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 1080p

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

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxAuto21.578.0112.5Prefer Cache19.078.3111.1Prefer Freq19.778.3111.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor4080120160200

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

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

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxAuto21.185.8115.7Prefer Cache18.985.7116.5Prefer Freq18.985.9115.4OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor4080120160200

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Super Fast

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

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxAuto17.687.0110.4Prefer Cache19.486.1109.6Prefer Freq20.486.8109.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

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

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxAuto20.1103.9122.8Prefer Cache19.4103.9122.8Prefer Freq19.0104.3121.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor4080120160200

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

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

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxAuto19.5103.6122.2Prefer Cache19.7103.4120.8Prefer Freq19.3104.2121.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor4080120160200

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

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

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxAuto19.547.194.2Prefer Cache20.047.094.0Prefer Freq20.047.394.2OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

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

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxAuto20.453.1101.5Prefer Cache20.752.9102.1Prefer Freq19.953.1102.0OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Super Fast

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

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxAuto20.355.695.9Prefer Cache21.355.496.1Prefer Freq21.255.896.2OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Very Fast

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

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxAuto18.366.493.4Prefer Cache20.466.194.3Prefer Freq21.366.493.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium

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

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxAuto18.766.993.0Prefer Cache19.966.793.0Prefer Freq21.666.692.7OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Slow

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto18.394.9137.9Prefer Cache19.795.5138.0Prefer Freq16.395.5137.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

AOM AV1

Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto20.784.9137.4Prefer Cache18.884.7136.6Prefer Freq17.485.3137.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

AOM AV1

Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto20.093.0113.5Prefer Cache19.092.8113.9Prefer Freq20.792.3114.7OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor4080120160200

AOM AV1

Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto19.774.988.6Prefer Cache20.075.789.0Prefer Freq19.274.888.3OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto20.687.0101.3Prefer Cache21.587.2102.3Prefer Freq20.986.5101.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto21.070.095.9Prefer Cache21.269.895.1Prefer Freq19.970.294.8OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto20.354.078.0Prefer Cache21.055.079.0Prefer Freq19.055.377.1OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto20.044.375.5Prefer Cache18.343.875.4Prefer Freq18.343.776.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto19.259.681.7Prefer Cache18.459.582.5Prefer Freq17.859.381.9OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto17.644.776.9Prefer Cache20.144.577.3Prefer Freq19.244.876.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto17.154.076.2Prefer Cache20.654.076.5Prefer Freq19.753.876.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto15.542.175.5Prefer Cache21.342.175.1Prefer Freq20.441.874.3OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto21.453.876.0Prefer Cache10.653.375.9Prefer Freq17.953.176.1OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K

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

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxAuto16.842.276.4Prefer Cache18.542.072.6Prefer Freq18.142.273.1OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.6CPU Power Consumption Monitor20406080100

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p

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

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxAuto21.282.393.5Prefer Cache20.181.389.9Prefer Freq20.879.986.4OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor20406080100

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxAuto19.971.989.1Prefer Cache20.571.489.0Prefer Freq20.071.687.7OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor20406080100

High Performance Conjugate Gradient

CPU Power Consumption Monitor

MinAvgMaxAuto20.479.795.4Prefer Cache18.179.899.0Prefer Freq21.479.597.6OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor20406080100

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

Pennant

CPU Power Consumption Monitor

MinAvgMaxAuto20.789.9101.5Prefer Cache22.091.4104.3Prefer Freq19.090.7103.4OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor20406080100

Pennant

CPU Power Consumption Monitor

MinAvgMaxAuto21.685.699.2Prefer Cache21.188.4101.9Prefer Freq20.687.1101.1OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor20406080100

Xmrig

CPU Power Consumption Monitor

MinAvgMaxAuto20.2120.4131.5Prefer Cache21.8120.2132.2Prefer Freq20.2122.1131.8OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.18.1CPU Power Consumption Monitor4080120160200

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MAutoPrefer CachePrefer Freq4080120160200163.02163.09161.03

Xmrig

CPU Power Consumption Monitor

MinAvgMaxAuto16.9116.3125.3Prefer Cache19.8116.7125.8Prefer Freq21.2112.9120.2OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.18.1CPU Power Consumption Monitor4080120160200

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MAutoPrefer CachePrefer Freq306090120150138.74139.03142.70

NCNN

CPU Power Consumption Monitor

MinAvgMaxAuto21.170.789.2Prefer Cache18.370.789.1Prefer Freq17.971.391.8OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20220729CPU Power Consumption Monitor20406080100

oneDNN

CPU Power Consumption Monitor

MinAvgMaxAuto17.9104.4126.1Prefer Cache19.6104.6125.6Prefer Freq19.6104.6125.9OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor4080120160200

oneDNN

CPU Power Consumption Monitor

MinAvgMaxAuto19.2104.5126.5Prefer Cache19.8104.6125.5Prefer Freq19.6104.6126.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor4080120160200

oneDNN

CPU Power Consumption Monitor

MinAvgMaxAuto20.2104.9124.0Prefer Cache21.0104.7124.0Prefer Freq19.1104.9123.0OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor4080120160200

oneDNN

CPU Power Consumption Monitor

MinAvgMaxAuto20.9104.8123.3Prefer Cache21.4104.7123.6Prefer Freq20.0104.5123.9OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor4080120160200

oneDNN

CPU Power Consumption Monitor

MinAvgMaxAuto10.977.3124.7Prefer Cache15.375.2123.4Prefer Freq20.177.4124.4OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor4080120160200

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

CPU Power Consumption Monitor

MinAvgMaxAuto21.061.695.7Prefer Cache17.861.799.0Prefer Freq20.161.399.1OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor20406080100

oneDNN

CPU Power Consumption Monitor

MinAvgMaxAuto13.861.8117.8Prefer Cache19.662.3117.3Prefer Freq20.761.9118.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor4080120160200

oneDNN

CPU Power Consumption Monitor

MinAvgMaxAuto18.785.0121.2Prefer Cache20.884.9121.3Prefer Freq20.984.1120.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor4080120160200

oneDNN

CPU Power Consumption Monitor

MinAvgMaxAuto18.960.3113.9Prefer Cache20.058.188.4Prefer Freq18.357.884.0OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.0CPU Power Consumption Monitor4080120160200

LZ4 Compression

CPU Power Consumption Monitor

MinAvgMaxAuto20.342.249.4Prefer Cache11.743.263.8Prefer Freq20.044.264.1OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor20406080100

LZ4 Compression

Compression Level: 9 - Decompression Speed

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

LZ4 Compression

CPU Power Consumption Monitor

MinAvgMaxAuto20.955.664.6Prefer Cache20.642.863.7Prefer Freq21.042.449.6OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor20406080100

LZ4 Compression

Compression Level: 3 - Decompression Speed

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

LZ4 Compression

CPU Power Consumption Monitor

MinAvgMaxAuto21.150.364.4Prefer Cache21.544.350.3Prefer Freq16.447.863.8OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor20406080100

LZ4 Compression

Compression Level: 1 - Decompression Speed

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

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxAuto19.698.1131.2Prefer Cache21.298.8132.1Prefer Freq21.498.4132.3OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor4080120160200

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingAutoPrefer CachePrefer Freq4008001200160020001800.501785.781799.07

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxAuto18.250.358.8Prefer Cache12.848.159.2Prefer Freq20.947.057.8OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor1632486480

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxAuto17.753.470.3Prefer Cache18.151.770.1Prefer Freq19.152.770.5OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100

Zstd Compression

Compression Level: 19 - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxAuto14.562.384.2Prefer Cache20.860.583.7Prefer Freq18.760.483.9OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100

Zstd Compression

Compression Level: 12 - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxAuto20.565.894.3Prefer Cache18.065.394.6Prefer Freq18.565.893.9OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100

Zstd Compression

Compression Level: 8, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedAutoPrefer CachePrefer Freq81624324036.9536.9036.73

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxAuto20.167.295.1Prefer Cache18.368.196.2Prefer Freq19.867.594.3OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100

Zstd Compression

Compression Level: 8 - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxAuto21.953.662.7Prefer Cache20.751.362.8Prefer Freq20.954.062.7OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100

Zstd Compression

Compression Level: 3, Long Mode - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxAuto18.767.293.3Prefer Cache19.667.792.3Prefer Freq18.967.191.4OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100

Zstd Compression

Compression Level: 3 - Decompression Speed

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

ASKAP

CPU Power Consumption Monitor

MinAvgMaxAuto18.744.187.4Prefer Cache21.141.987.4Prefer Freq19.441.887.4OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor20406080100

ASKAP

Test: Hogbom Clean OpenMP

OpenBenchmarking.orgIterations Per Second Per Watt, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPAutoPrefer CachePrefer Freq369121512.5113.1213.15

ASKAP

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption MonitorAutoPrefer CachePrefer Freq20406080100Min: 17.2 / Avg: 72.36 / Max: 92.04Min: 18.84 / Avg: 67.46 / Max: 89.34Min: 19.69 / Avg: 72.88 / Max: 89.76

ASKAP

Test: tConvolve MT - Degridding

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

ASKAP

CPU Power Consumption Monitor

MinAvgMaxAuto18.546.073.2Prefer Cache21.145.373.5Prefer Freq21.045.573.3OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor20406080100

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingAutoPrefer CachePrefer Freq60120180240300250.17253.89252.58

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxAuto21.1102.9122.8Prefer Cache18.9104.1121.2Prefer Freq22.4102.8125.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor4080120160200

RawTherapee

CPU Power Consumption Monitor

MinAvgMaxAuto20.364.287.1Prefer Cache20.364.287.0Prefer Freq19.464.184.0OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor20406080100

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto17.1112.9119.6Prefer Cache21.2108.5122.5Prefer Freq21.2110.0125.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto19.6112.4124.6Prefer Cache20.6107.0119.4Prefer Freq16.9109.6124.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto20.7108.1121.5Prefer Cache20.0108.3121.5Prefer Freq18.4107.0120.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto10.8109.7123.7Prefer Cache18.9110.3124.1Prefer Freq20.3103.1116.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto20.1111.3119.3Prefer Cache21.0104.3113.1Prefer Freq21.2103.6112.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto19.6105.4118.1Prefer Cache17.6104.4115.7Prefer Freq19.3104.3115.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto21.2111.4124.3Prefer Cache18.8104.0117.9Prefer Freq20.3104.2119.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto19.7109.4124.2Prefer Cache21.1104.7118.6Prefer Freq17.0102.5116.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto20.6113.7125.5Prefer Cache19.1109.4121.6Prefer Freq18.3106.0119.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto21.1111.1124.8Prefer Cache20.8105.9117.8Prefer Freq19.2105.8117.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto17.4112.6125.3Prefer Cache19.9106.1120.1Prefer Freq21.9106.0123.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxAuto19.4110.1124.1Prefer Cache21.5104.9119.6Prefer Freq19.3105.2120.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor4080120160200

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAuto19.8102.0118.3Prefer Cache21.2101.9119.0Prefer Freq17.5102.1118.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor4080120160200

OSPRay

Benchmark: particle_volume/pathtracer/real_time

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

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAuto18.697.3113.7Prefer Cache18.096.9113.0Prefer Freq19.896.9113.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor4080120160200

OSPRay

Benchmark: particle_volume/scivis/real_time

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

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAuto21.2109.8113.9Prefer Cache19.9109.8113.9Prefer Freq21.5109.5113.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor4080120160200

OSPRay

Benchmark: particle_volume/ao/real_time

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

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAuto18.3111.2119.8Prefer Cache19.8110.8120.9Prefer Freq21.8110.5119.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor4080120160200

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

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

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAuto21.6109.0117.7Prefer Cache17.3108.8116.7Prefer Freq18.6108.8118.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor4080120160200

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeAutoPrefer CachePrefer Freq0.01580.03160.04740.06320.0790.0680.0690.070

OSPRay

CPU Power Consumption Monitor

MinAvgMaxAuto19.8109.1116.7Prefer Cache19.2108.5117.4Prefer Freq19.5108.6116.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor4080120160200

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeAutoPrefer CachePrefer Freq0.0160.0320.0480.0640.080.0700.0700.071

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto17.5109.5119.4Prefer Cache19.6109.3119.9Prefer Freq20.9109.3120.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto21.1113.8121.1Prefer Cache21.8112.5121.1Prefer Freq21.0112.4121.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto19.7109.5117.6Prefer Cache19.6112.1122.9Prefer Freq20.9114.7123.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto21.7118.2126.2Prefer Cache17.3117.8126.1Prefer Freq20.8116.3125.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto21.2118.0127.6Prefer Cache20.0119.3128.0Prefer Freq18.7120.0128.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto20.7115.4123.5Prefer Cache20.0116.0123.5Prefer Freq21.7116.0123.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto19.7114.2128.6Prefer Cache21.1115.4128.2Prefer Freq21.3114.9128.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto19.4114.4127.9Prefer Cache21.5114.1127.1Prefer Freq20.8114.1127.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto19.8115.5124.2Prefer Cache18.4114.4124.5Prefer Freq20.9115.4123.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto19.5122.0129.5Prefer Cache20.6120.4129.6Prefer Freq20.4122.0129.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto21.3116.1128.1Prefer Cache20.5117.8128.6Prefer Freq17.8117.8128.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxAuto20.8117.4133.1Prefer Cache20.2119.5133.1Prefer Freq21.0119.8133.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.3CPU Power Consumption Monitor4080120160200

ONNX Runtime

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.14CPU Power Consumption MonitorAutoPrefer CachePrefer Freq1530456075Min: 18.53 / Avg: 67.22 / Max: 76.48Min: 21.56 / Avg: 67.8 / Max: 70.3Min: 17.61 / Avg: 67.39 / Max: 76.71

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq48121620SE +/- 0.51, N = 15SE +/- 0.06, N = 3SE +/- 0.43, N = 1214.7013.4214.391. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq0.47690.95381.43071.90762.3845SE +/- 0.04888, N = 15SE +/- 0.00651, N = 3SE +/- 0.00189, N = 32.119662.008332.001001. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq612182430SE +/- 0.72, N = 15SE +/- 0.98, N = 15SE +/- 0.52, N = 1223.6524.1422.981. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: GPT-2 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq1.2292.4583.6874.9166.145SE +/- 0.06583, N = 4SE +/- 0.01610, N = 3SE +/- 0.08402, N = 155.395745.292515.462301. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: bertsquad-12 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq1326395265SE +/- 2.18, N = 15SE +/- 2.61, N = 15SE +/- 2.10, N = 1559.6458.0655.591. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: super-resolution-10 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq1.24882.49763.74644.99526.244SE +/- 0.23907, N = 15SE +/- 0.21808, N = 15SE +/- 0.29232, N = 125.524255.550235.535491. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: fcn-resnet101-11 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq80160240320400SE +/- 20.18, N = 15SE +/- 15.84, N = 12SE +/- 19.31, N = 15346.46297.82337.221. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

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

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.14Model: yolov4 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq20406080100SE +/- 0.82, N = 5SE +/- 3.28, N = 15SE +/- 0.73, N = 381.7094.1382.101. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

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

BRL-CAD

CPU Power Consumption Monitor

MinAvgMaxAuto21.7126.4136.8Prefer Cache20.1129.6136.8Prefer Freq20.8129.0137.1OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.34CPU Power Consumption Monitor4080120160200

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.34VGR Performance MetricAutoPrefer CachePrefer Freq70014002100280035003123.343060.723069.61

Phoronix Test Suite v10.8.5