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&rdt&gru.

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 Linuxstress-ng: CPU Stressstress-ng: IO_uringstress-ng: Cryptostress-ng: Memory Copyingstress-ng: Glibc Qsort Data Sortingstress-ng: Glibc C String Functionsstress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: Forkingstress-ng: System V Message Passingstress-ng: Semaphoresstress-ng: Socket Activitystress-ng: Atomicstress-ng: CPU Cachestress-ng: MMAPstress-ng: Mallocstress-ng: MEMFDstress-ng: NUMAstress-ng: SENDFILEstress-ng: Futexstress-ng: Mutexsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsysbench: CPUamg: openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitnatron: Spaceshipaom-av1: Speed 10 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 0 Two-Pass - Bosphorus 4Kkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Preset 13 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Ksvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 4Kvpxenc: Speed 5 - Bosphorus 1080pvpxenc: Speed 5 - Bosphorus 4Kvpxenc: Speed 0 - Bosphorus 1080pvpxenc: Speed 0 - Bosphorus 4Kx264: Bosphorus 1080px264: Bosphorus 4Kx265: Bosphorus 1080px265: Bosphorus 4Kembree: Pathtracer - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownrav1e: 10rav1e: 6rav1e: 5rav1e: 1simdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetselenium: Octane - Google Chromehpcg: mt-dgemm: Sustained Floating-Point Ratexmrig: Monero - 1Mxmrig: Wownero - 1Monnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardopenvkl: vklBenchmark Scalaropenvkl: vklBenchmark ISPCospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timegraphics-magick: HWB Color Spacegraphics-magick: Swirlgraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Rotategraphics-magick: Sharpenaskap: Hogbom Clean OpenMPcpuminer-opt: scryptcpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Myriad-Groestlcpuminer-opt: Magicpuminer-opt: x25xcpuminer-opt: Garlicoincpuminer-opt: Ringcoincpuminer-opt: Deepcoincpuminer-opt: Skeincoincpuminer-opt: LBC, LBRY Creditsindigobench: CPU - Supercarindigobench: CPU - Bedroomluxcorerender: DLSC - CPUluxcorerender: Orange Juice - CPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Danish Mood - CPUcompress-zstd: 3 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 12 - Compression Speedcompress-zstd: 12 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedcompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedopenems: pyEMS Couplertjbench: Decompression Throughputquantlib: himeno: Poisson Pressure Solvergnuradio: Five Back to Back FIR Filtersgnuradio: Signal Source (Cosine)gnuradio: FIR Filtergnuradio: IIR Filtergnuradio: FM Deemphasis Filtergnuradio: Hilbert Transformluaradio: Five Back to Back FIR Filtersluaradio: FM Deemphasis Filterluaradio: Hilbert Transformluaradio: Complex Phasesysbench: RAM / Memoryaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingwebp: Defaultwebp: Quality 100webp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Quality 100, Lossless, Highest Compressionastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivelczero: BLASlczero: Eigencrafty: Elapsed Timegromacs: MPI CPU - water_GMX50_barelammps: Rhodopsin Proteinlammps: 20k Atomsrocksdb: Seq Fillrocksdb: Rand Fillrocksdb: Rand Fill Syncrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runstargate: 44100 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 480000 - 1024stargate: 96000 - 512stargate: 96000 - 1024stargate: 192000 - 512stargate: 192000 - 1024node-express-loadtest: selenium: Speedometer - Google Chromenode-web-tooling: srsran: OFDM_Testliquid-dsp: 8 - 256 - 57liquid-dsp: 16 - 256 - 57liquid-dsp: 32 - 256 - 57phpbench: PHP Benchmark Suiteselenium: Jetstream 2 - Google Chromenumpy: srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMbrl-cad: VGR Performance Metricv-ray: CPUlulesh: namd: ATPase Simulation - 327,506 Atomspennant: leblancbigpennant: sedovbigonnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardtensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception V4pybench: Total For Average Test Timesopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 32 - Path Traceronednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetncnn: CPU - mnasnetdraco: Church Facadedraco: Lionselenium: ARES-6 - Google Chromeselenium: WASM collisionDetection - Google Chromeselenium: WASM imageConvolute - Google Chromeselenium: Kraken - Google Chromerenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Savina Reactors.IOrenaissance: Apache Spark ALSrenaissance: Rand Forestrenaissance: Apache Spark Bayesrenaissance: Apache Spark PageRankrenaissance: Scala Dottyrenaissance: Finagle HTTP Requestsrenaissance: Genetic Algorithm Using Jenetics + Futuresrenaissance: ALS Movie Lenstnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2dacapobench: H2dacapobench: Jythonselenium: PSPDFKit WASM - Google Chromerawtherapee: Total Benchmark Timedarktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Server Room - CPU-onlydarktable: Server Rack - CPU-onlygimp: unsharp-maskgimp: resizegimp: rotategimp: auto-levelsopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directiongegl: Rotate 90 Degreesgegl: Scalegegl: Antialiasgegl: Cartoongegl: Color Enhancegegl: Cropgegl: Wavelet Blurgegl: Reflectgegl: Tile Glasstoktx: Zstd Compression 19toktx: UASTC 3toktx: UASTC 3 + Zstd Compression 19toktx: UASTC 4 + Zstd Compression 19gpaw: Carbon Nanotubernnoise: octave-benchmark: selenium: Maze Solver - Google Chrometachyon: Total Timeavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-godot: Time To Compilebuild-mesa: Time To Compilebuild-ffmpeg: Time To Compilebuild-mplayer: Time To Compilenumenta-nab: Bayesian Changepointnumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: Earthgecko Skylinenumenta-nab: KNN CADnumenta-nab: Contextual Anomaly Detector OSEblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlydeepspeech: CPUdolfyn: Computational Fluid Dynamicsradiance: Serialradiance: SMP Parallelwireguard: sqlite-speedtest: Timed Time - Size 1,000gcrypt: encode-mp3: WAV To MP3appleseed: Emilyappleseed: Disney Materialappleseed: Material Testerbuild2: Time To Compileprimesieve: 1e12primesieve: 1e13n-queens: Elapsed Timem-queens: Time To Solveunpack-linux: linux-5.19.tar.xzunpack-firefox: firefox-84.0.source.tar.xzpyhpc: CPU - Numpy - 1048576 - Equation of Statepyhpc: CPU - Numpy - 1048576 - Isoneutral Mixingpyhpc: CPU - Numpy - 4194304 - Equation of Statepyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingmrbayes: Primate Phylogeny AnalysisAutoPrefer CachePrefer 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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

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

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

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

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

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

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

Test: Forking

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

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: Semaphores

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

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

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

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

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: Malloc

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

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

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

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

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

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

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

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: 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

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

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

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

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: 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

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

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

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

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

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

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

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

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

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

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

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: 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

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

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

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

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: 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

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: 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

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

Sysbench

Test: CPU

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

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

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

dav1d

Video Input: Summer Nature 1080p

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

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

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

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

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

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

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

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

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

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

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

Natron

Input: Spaceship

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

dav1d

Video Input: Chimera 1080p

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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-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-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

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

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

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

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-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-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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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: 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

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

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

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

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

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

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

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

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

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

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

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

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-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

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

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-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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Selenium

Benchmark: Octane - Browser: Google Chrome

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

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

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

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

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

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

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

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

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

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

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

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: 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: 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: 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

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: 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: 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

GraphicsMagick

Operation: Resizing

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

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

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

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

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

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

GraphicsMagick

Operation: Rotate

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

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

Operation: Swirl

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

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

ASKAP

Test: Hogbom Clean OpenMP

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

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: 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

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

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

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

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

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

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

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

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

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

Algorithm: Myriad-Groestl

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

Cpuminer-Opt

Algorithm: Magi

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

Cpuminer-Opt

Algorithm: x25x

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

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: Ringcoin

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

Cpuminer-Opt

Algorithm: Deepcoin

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

Cpuminer-Opt

Algorithm: Skeincoin

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

QuantLib

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

Himeno Benchmark

Poisson Pressure Solver

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

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

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

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

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

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

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

GNU Radio

Test: Hilbert Transform

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

LuaRadio

Test: Complex Phase

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

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

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

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

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

Sysbench

Test: RAM / Memory

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

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

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

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

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

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

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

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

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

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

7-Zip Compression

Test: Decompression Rating

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

LeelaChessZero

Backend: BLAS

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

LeelaChessZero

Backend: Eigen

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

Crafty

Elapsed Time

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

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

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

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

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

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

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

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

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

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

RocksDB

Test: Sequential Fill

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

RocksDB

Test: Random Fill

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

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

Test: Random Read

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

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

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

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

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

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

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

Test: Update Random

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Selenium

Benchmark: Speedometer - Browser: Google Chrome

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

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

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

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: OFDM_Test

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

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

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

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

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

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

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

Selenium

Benchmark: Jetstream 2 - Browser: Google Chrome

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

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

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

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

PHPBench

PHP Benchmark Suite

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

Numpy Benchmark

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

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 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

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

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 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

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: 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

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

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

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

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

BRL-CAD

VGR Performance Metric

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

Chaos Group V-RAY

Mode: CPU

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

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

LULESH

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

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

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

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

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

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: 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: 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: 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: 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: 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: 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: 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

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

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

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

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

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

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

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

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: 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

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

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

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: 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

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

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

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

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

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

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

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

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

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: 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

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

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

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

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

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

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

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

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

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

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

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: 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

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

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

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

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

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

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

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

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

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

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

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

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

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: 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

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

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: 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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: 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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Radiance Benchmark

Test: Serial

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

Radiance Benchmark

Test: SMP Parallel

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

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

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

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

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

Appleseed

Scene: Emily

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

Appleseed

Scene: Disney Material

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

Appleseed

Scene: Material Tester

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

CPU Power Consumption Monitor

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

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

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

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

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

OpenVINO

CPU Power Consumption Monitor

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

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

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

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

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

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

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 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 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

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

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

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

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

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

OSPRay Studio

CPU Power Consumption Monitor

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

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

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

OSPRay Studio

CPU Power Consumption Monitor

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

MinAvgMaxAuto10.977.3124.7Prefer Cache15.375.2123.4Prefer Freq20.177.4124.4OpenBenchmarking.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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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-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

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

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

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

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

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-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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

GEGL

CPU Power Consumption Monitor

MinAvgMaxAuto19.853.876.1Prefer Cache19.353.974.3Prefer Freq19.454.977.2OpenBenchmarking.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

MinAvgMaxAuto19.149.467.0Prefer Cache20.050.867.4Prefer Freq19.948.765.8OpenBenchmarking.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

MinAvgMaxAuto21.650.361.5Prefer Cache21.646.961.8Prefer Freq21.649.562.1OpenBenchmarking.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

MinAvgMaxAuto20.949.564.1Prefer Cache21.249.763.5Prefer Freq20.050.463.1OpenBenchmarking.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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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

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

Selenium

CPU Power Consumption Monitor

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

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

CPU Power Consumption Monitor

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

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

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

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

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

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

Selenium

CPU Power Consumption Monitor

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

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

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

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

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

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

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

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

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

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

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

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

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

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

MinAvgMaxAuto15.949.991.7Prefer Cache20.150.390.8Prefer Freq19.950.090.4OpenBenchmarking.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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

libavif avifenc

CPU Power Consumption Monitor

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

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

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

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

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

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

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 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 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 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 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 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 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

MinAvgMaxAuto20.790.2140.3Prefer 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

PyHPC Benchmarks

CPU Power Consumption Monitor

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Phoronix Test Suite v10.8.5