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.

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 Linuxbrl-cad: VGR Performance Metriconnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Standardopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timeospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerrawtherapee: 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 Timeaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: Hogbom Clean OpenMPcompress-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-7zip: Compression Ratingcompress-7zip: Decompression Ratingcompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedonednn: 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 - mnasnetxmrig: Monero - 1Mxmrig: Wownero - 1Mpennant: leblancbigpennant: sedovbighpcg: incompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionaom-av1: Speed 10 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 0 Two-Pass - Bosphorus 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 4Kdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitgromacs: MPI CPU - water_GMX50_barenamd: ATPase Simulation - 327,506 Atomslczero: BLASlczero: Eigengegl: Rotate 90 Degreesgegl: Scalegegl: Antialiasgegl: Cartoongegl: Color Enhancegegl: Cropgegl: Wavelet Blurgegl: Reflectgegl: Tile Glassdraco: Church Facadedraco: Liontoktx: Zstd Compression 19toktx: UASTC 3toktx: UASTC 3 + Zstd Compression 19toktx: UASTC 4 + Zstd Compression 19gpaw: Carbon Nanotubeclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runsysbench: CPUsysbench: RAM / Memorygnuradio: 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 Phasenode-express-loadtest: node-web-tooling: phpbench: PHP Benchmark Suitepybench: Total For Average Test Timesrnnoise: tensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception V4octave-benchmark: selenium: ARES-6 - Google Chromeselenium: Speedometer - Google Chromeselenium: Octane - Google Chromeselenium: Jetstream 2 - Google Chromeselenium: Maze Solver - Google Chromeselenium: PSPDFKit WASM - Google Chromeselenium: WASM collisionDetection - Google Chromeselenium: WASM imageConvolute - Google Chromeselenium: Kraken - Google Chromesimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetquantlib: lulesh: renaissance: 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 Lensdacapobench: H2dacapobench: Jythonhimeno: Poisson Pressure Solvercrafty: Elapsed Timetachyon: Total Timelammps: Rhodopsin Proteinlammps: 20k Atomswebp: Defaultwebp: Quality 100webp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Quality 100, Lossless, Highest Compressionavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebuild-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 Compilecpuminer-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 Creditsrocksdb: Seq Fillrocksdb: Rand Fillrocksdb: Rand Fill Syncrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randamg: openems: pyEMS Couplerstargate: 44100 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 480000 - 1024stargate: 96000 - 512stargate: 96000 - 1024stargate: 192000 - 512stargate: 192000 - 1024embree: Pathtracer - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownnumenta-nab: Bayesian Changepointnumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: Earthgecko Skylinenumenta-nab: KNN CADnumenta-nab: Contextual Anomaly Detector OSErav1e: 10rav1e: 6rav1e: 5rav1e: 1blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlydeepspeech: CPUstress-ng: CPU Stressstress-ng: Cryptostress-ng: Memory Copyingstress-ng: Glibc Qsort Data Sortingstress-ng: Glibc C String Functionsstress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: Forkingstress-ng: System V Message Passingstress-ng: Semaphoresstress-ng: Socket Activitystress-ng: Atomicstress-ng: CPU Cachestress-ng: Mallocstress-ng: MEMFDstress-ng: MMAPstress-ng: NUMAstress-ng: SENDFILEstress-ng: IO_uringstress-ng: Futexstress-ng: Mutexnumpy: dolfyn: Computational Fluid Dynamicsradiance: Serialradiance: SMP Parallelwireguard: sqlite-speedtest: Timed Time - Size 1,000gcrypt: encode-mp3: WAV To MP3graphics-magick: HWB Color Spacegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Swirlsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: OFDM_Testappleseed: Emilyappleseed: Disney Materialappleseed: Material Testerindigobench: CPU - Supercarindigobench: CPU - Bedroomv-ray: CPUbuild2: Time To Compileopenvkl: vklBenchmark Scalaropenvkl: vklBenchmark ISPCliquid-dsp: 8 - 256 - 57liquid-dsp: 16 - 256 - 57liquid-dsp: 32 - 256 - 57luxcorerender: DLSC - CPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUluxcorerender: Danish Mood - CPUmt-dgemm: Sustained Floating-Point Rateprimesieve: 1e12primesieve: 1e13n-queens: Elapsed Timem-queens: Time To Solvenatron: Spaceshiptnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2tjbench: Decompression Throughputunpack-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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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

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

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: 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.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: 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.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: 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.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: 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.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: 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.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: 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.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: 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.orgInferences Per Second, More Is BetterONNX Runtime 1.14Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: StandardAutoPrefer CachePrefer Freq20406080100SE +/- 2.15, N = 15SE +/- 0.35, N = 3SE +/- 1.82, N = 1269.0874.5170.091. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

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

ONNX Runtime

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

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 - 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

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

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: 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

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

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 - 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

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

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: 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

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

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 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

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

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: 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

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

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-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

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

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: 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

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

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-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

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

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

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

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

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: 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

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

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAutoPrefer CachePrefer Freq306090120150SE +/- 0.15, N = 3SE +/- 0.23, N = 3SE +/- 0.31, N = 3135.28135.51135.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUAutoPrefer CachePrefer Freq1326395265SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 359.0858.9958.93MIN: 27.39 / MAX: 72.82MIN: 29.03 / MAX: 69.75MIN: 41.49 / MAX: 69.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

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

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

CPU Power Consumption Monitor

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/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

CPU Power Consumption Monitor

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/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: gravity_spheres_volume/dim_512/pathtracer/real_time

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

OSPRay

CPU Power Consumption Monitor

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

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/ao/real_time

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: particle_volume/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/scivis/real_time

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

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: particle_volume/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

OSPRay

Benchmark: particle_volume/pathtracer/real_time

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

OSPRay

CPU Power Consumption Monitor

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

RawTherapee

CPU Power Consumption Monitor

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

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

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

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 OpenMP - Degridding

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

ASKAP

CPU Power Consumption Monitor

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

ASKAP

Test: tConvolve 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 MT - Degridding

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

ASKAP

CPU Power Consumption Monitor

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

ASKAP

Test: 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

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

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 - 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

CPU Power Consumption Monitor

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

Zstd Compression

Compression Level: 3, 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: 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: 3, Long Mode - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

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

Zstd Compression

Compression Level: 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 - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

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

Zstd Compression

Compression Level: 8, 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: 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: 8, Long Mode - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

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

Zstd Compression

Compression Level: 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: 12 - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

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

Zstd Compression

Compression Level: 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: 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 - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

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

Zstd Compression

Compression Level: 19, 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

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

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

Zstd Compression

CPU Power Consumption Monitor

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

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

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

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: 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

CPU Power Consumption Monitor

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

LZ4 Compression

Compression Level: 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: 3 - Decompression Speed

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

LZ4 Compression

CPU Power Consumption Monitor

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