7700K Intel 2020

Intel Core i7-7700K testing with a MSI Z270-A PRO (MS-7A71) v1.0 (1.60 BIOS) and MSI Intel HD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2010143-FI-7700KINTE31&sor&gru.

7700K Intel 2020ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionLinux 5.4Linux 5.8Linux 5.9Intel Core i7-7700K @ 4.50GHz (4 Cores / 8 Threads)MSI Z270-A PRO (MS-7A71) v1.0 (1.60 BIOS)Intel Xeon E3-1200 v6/7th + Z27016GB256GB Samsung SSD 850MSI Intel HD 630 3GB (1150MHz)Realtek ALC892LG Ultra HDRealtek RTL8111/8168/8411Ubuntu 20.045.4.0-28-generic (x86_64)GNOME Shell 3.36.1X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 9.3.0ext43840x21605.8.14-050814-generic (x86_64)GNOME Shell 3.36.45.9.0-050900rc8daily20201011-generic (x86_64) 20201010OpenBenchmarking.orgCompiler Details- Linux 5.4: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --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 - Linux 5.8: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --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 - Linux 5.9: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --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 Processor Details- Linux 5.4: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xca- Linux 5.8: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6- Linux 5.9: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6Java Details- Linux 5.4: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)- Linux 5.8: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Linux 5.9: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Details- Linux 5.4: Python 3.8.2- Linux 5.8: Python 3.8.5- Linux 5.9: Python 3.8.5Security Details- Linux 5.4: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - Linux 5.8: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - Linux 5.9: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

7700K Intel 2020vkfft: stress-ng: MMAPstress-ng: NUMAstress-ng: MEMFDstress-ng: Atomicstress-ng: Cryptostress-ng: Mallocstress-ng: RdRandstress-ng: Forkingstress-ng: SENDFILEstress-ng: CPU Cachestress-ng: CPU Stressstress-ng: Semaphoresstress-ng: Matrix Mathstress-ng: Vector Mathstress-ng: Memory Copyingstress-ng: Socket Activitystress-ng: Context Switchingstress-ng: Glibc C String Functionsstress-ng: Glibc Qsort Data Sortingstress-ng: System V Message Passingdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitmpv: Big Buck Bunny Sunflower 4K - Software Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlyopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUneatbench: CPUv-ray: CPUbyte: Dhrystone 2luxcorerender: DLSCluxcorerender: Rainbow Colors and Prismcompress-zstd: 3compress-zstd: 19ffte: N=256, 3D Complex FFT Routinecompress-7zip: Compress Speed Testlibraw: Post-Processing Benchmarklczero: BLASlczero: Eigenlczero: Randgromacs: Water Benchmarklammps: Rhodopsin Proteinkeydb: hint: FLOATglmark2: 1920 x 1080glmark2: 1920 x 1200glmark2: 2560 x 1440glmark2: 3840 x 2160ai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoredaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagedaphne: OpenMP - Euclidean Clusterkripke: influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000brl-cad: VGR Performance Metricnamd: ATPase Simulation - 327,506 Atomswebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressiontensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200pyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonrenaissance: Scala Dottyrenaissance: Rand Forestrenaissance: Apache Spark ALSrenaissance: Apache Spark Bayesrenaissance: Savina Reactors.IOrenaissance: Apache Spark PageRankrenaissance: In-Memory Database Shootoutrenaissance: Akka Unbalanced Cobwebbed Treeonednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch All - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1openvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopencv: Features 2Dopencv: Object Detectionopencv: DNN - Deep Neural Networkdacapobench: H2dacapobench: Jythondacapobench: Tradesoaprealsr-ncnn: 4x - Nowireguard: rodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusterdolfyn: Computational Fluid Dynamicshmmer: Pfam Database Searchincompact3d: Cylindermafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0java-gradle-perf: Reactoravifenc: 0avifenc: 2avifenc: 8avifenc: 10build-apache: Time To Compilebuild-linux-kernel: Time To Compilebuild2: Time To Compilecompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9espeak: Text-To-Speech Synthesismontage: Mosaic of M17, K band, 1.5 deg x 1.5 degrnnoise: system-decompress-gzip: couchdb: 100 - 1000 - 24astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivehugin: Panorama Photo Assistant + Stitching Timeocrmypdf: Processing 60 Page PDF Documentgpaw: Carbon Nanotubemlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionsunflow: Global Illumination + Image Synthesistesseract-ocr: Time To OCR 7 ImagesLinux 5.4Linux 5.8Linux 5.9112347.39125.52366.66263212.73978.3930826272.70195256.5543990.5864128.6922.642253.83763926.8623746.7334720.081367.015364.481578574.14605374.9368.234624409.89389.16104.65360.9183.4937.19150.371.491.460.910.893720.683700.0810.4771044618964.40.840.922710.12321538.7314462972899733.629538762563470.5863.441440142.27445325469.784755935283491578389091747797.6825141.433877322990.8728929741190894.91239227.01250226.3618363.167021.4992.34816.7407.01538.999399233574956029282727081327847252014435129010238912565725076121427990.297.110917.740022.394.01517.7540.63681525.6621611.3982266.9402928.27217713.7374012.3483052.9417673.0896.5438498.37073.0052740.560521.71787.4382011.460916.39028.181475.92271482.653297.0604.128005.772767.82442.2474.3515.99947.66720.5223.756.345.373.685.308.581.7018.8178.9918.1419.9837.5232.66106.6199.0833.6437.7723.1734.8670.826.1993.16250.1379.77106.57141.04145.32308.552297.6082694.912734.334345.924399.201.071.07132208361042823229553532563442.124168.750457.36299.790201.49738.77321.32918.149102.553600.63895710.376241199.230147.08687.8816.7606.29426.671159.958193.41340.19426.99976.78424.0772.890152.4467.578.9757.92464.5861.69944.722484.98056.5469.9523.653.481.94822.622121142.37104.83330.20262238.70978.2330773901.006101.8142694.5060899.8922.552264.72560118.4923793.6034720.291370.244990.221749583.17612988.3067.904899988.40389.39103.76361.0382.9637.50153.941.51.470.910.893713.403697.1910.8770844673416.70.860.932708.92323103.5952977122875633.529919072613230.6193.438480395.45444887120.588996275533611618319071738776.8224549.315160252987.2667294171084501.11239154.61254110.1616063.139061.4982.34616.6837.01738.915398809574891029288727079127850152028105318810756713038926050421027889.997.210917.839922.192.51497.7740.13681521.4691712.8342605.0712845.82615098.2384095.8083219.0977656.8026.5410298.07093.0503541.014721.48417.4738111.929216.18878.133435.96393485.387297.4464.207415.706898.06843.9914.4376.15649.16920.3823.626.365.373.695.408.561.6918.8579.1618.1519.8637.4932.5341.2737.2011.7613.008.3012.1124.472.4233.46193.8329.5347.0971.5077.65308.572297.5062657.932710.494332.324379.111.071.071307513572517775292835215716258.722184.544453.966100.006207.37138.67921.29318.150102.456605.07619210.321241193.056148.52687.5186.8526.36226.519159.023195.00540.00029.66276.91024.0672.880120.1537.598.9557.77461.8962.54044.779487.41855.3671.9423.603.441.97822.692121242.2697.27333.90274452.48979.1730880073.586099.9137586.6061511.8622.802251.99560355.5023890.6434648.211351.145084.441737256.04609670.5267.804608826.62390.64103.63359.5583.0137.48153.911.491.480.90.903712.893711.8310.8771844505024.90.860.942706.72322961.9772365792826433.579879012616260.6243.437474329.50443682873.659316245563621618329051737798.8824347.011593353986.3887284631086068.71242649.21252051.7616633.100761.4982.34916.7397.00938.930398749574843329283627087227861552010975282010582113015125994021027890.297.410917.640122.192.41507.7840.43681552.3361685.9292642.1862863.13915086.8684135.9323253.7177634.8686.6069998.54513.0187641.121821.37237.5557211.667216.01798.206175.95687479.076300.9074.145335.703638.08444.1934.4546.16149.33020.4623.626.365.373.705.298.561.7018.8179.1618.1019.9937.5532.5941.2937.0411.7713.028.7512.1124.492.2533.49193.3629.5746.4471.4977.81307.947297.5172663.592716.754314.694354.591.071.071313763545917833293536225780258.758183.326453.55199.891206.11638.72021.28618.194102.400603.42411310.315241197.760149.09987.9006.8906.39226.536160.020194.40839.91429.85577.02024.0742.869122.0867.608.9657.84461.9362.87944.843485.03356.0672.0523.623.421.95622.656OpenBenchmarking.org

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.9Linux 5.8Linux 5.430060090012001500SE +/- 0.67, N = 3SE +/- 0.58, N = 3121212111123

Stress-NG

Test: MMAP

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPLinux 5.4Linux 5.8Linux 5.91122334455SE +/- 0.23, N = 3SE +/- 0.73, N = 3SE +/- 0.14, N = 347.3942.3742.261. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: NUMA

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMALinux 5.4Linux 5.8Linux 5.9306090120150SE +/- 1.10, N = 3SE +/- 0.68, N = 3SE +/- 0.66, N = 3125.52104.8397.271. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: MEMFD

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDLinux 5.4Linux 5.9Linux 5.880160240320400SE +/- 1.32, N = 3SE +/- 0.62, N = 3SE +/- 0.87, N = 3366.66333.90330.201. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Atomic

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicLinux 5.9Linux 5.4Linux 5.860K120K180K240K300KSE +/- 481.84, N = 3SE +/- 3268.99, N = 15SE +/- 3238.76, N = 15274452.48263212.73262238.701. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Crypto

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoLinux 5.9Linux 5.4Linux 5.82004006008001000SE +/- 0.24, N = 3SE +/- 1.00, N = 3SE +/- 0.71, N = 3979.17978.39978.231. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Malloc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocLinux 5.9Linux 5.4Linux 5.87M14M21M28M35MSE +/- 37067.76, N = 3SE +/- 18293.92, N = 3SE +/- 53114.71, N = 330880073.5830826272.7030773901.001. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: RdRand

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: RdRandLinux 5.4Linux 5.8Linux 5.940K80K120K160K200KSE +/- 2.87, N = 3SE +/- 1.96, N = 3SE +/- 1.98, N = 3195256.556101.816099.911. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Forking

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingLinux 5.4Linux 5.8Linux 5.99K18K27K36K45KSE +/- 32.69, N = 3SE +/- 234.95, N = 3SE +/- 201.96, N = 343990.5842694.5037586.601. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: SENDFILE

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILELinux 5.4Linux 5.9Linux 5.814K28K42K56K70KSE +/- 48.64, N = 3SE +/- 13.69, N = 3SE +/- 53.10, N = 364128.6961511.8660899.891. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: CPU Cache

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheLinux 5.9Linux 5.4Linux 5.8510152025SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 322.8022.6422.551. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: CPU Stress

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressLinux 5.8Linux 5.4Linux 5.95001000150020002500SE +/- 22.94, N = 3SE +/- 12.25, N = 3SE +/- 17.12, N = 32264.722253.832251.991. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Semaphores

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresLinux 5.4Linux 5.9Linux 5.8160K320K480K640K800KSE +/- 5286.21, N = 3SE +/- 3455.29, N = 3SE +/- 6354.42, N = 3763926.86560355.50560118.491. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Matrix Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathLinux 5.9Linux 5.8Linux 5.45K10K15K20K25KSE +/- 311.08, N = 3SE +/- 82.76, N = 3SE +/- 327.37, N = 323890.6423793.6023746.731. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Vector Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathLinux 5.8Linux 5.4Linux 5.97K14K21K28K35KSE +/- 1.65, N = 3SE +/- 0.45, N = 3SE +/- 73.83, N = 334720.2934720.0834648.211. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Memory Copying

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingLinux 5.8Linux 5.4Linux 5.930060090012001500SE +/- 9.55, N = 3SE +/- 7.33, N = 3SE +/- 1.27, N = 31370.241367.011351.141. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Socket Activity

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityLinux 5.4Linux 5.9Linux 5.811002200330044005500SE +/- 67.02, N = 5SE +/- 51.41, N = 3SE +/- 53.60, N = 35364.485084.444990.221. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Context Switching

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingLinux 5.8Linux 5.9Linux 5.4400K800K1200K1600K2000KSE +/- 2375.17, N = 3SE +/- 12341.27, N = 3SE +/- 2474.15, N = 31749583.171737256.041578574.141. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Glibc C String Functions

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String FunctionsLinux 5.8Linux 5.9Linux 5.4130K260K390K520K650KSE +/- 77.03, N = 3SE +/- 2693.27, N = 3SE +/- 312.30, N = 3612988.30609670.52605374.931. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Glibc Qsort Data Sorting

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data SortingLinux 5.4Linux 5.8Linux 5.91530456075SE +/- 0.20, N = 3SE +/- 0.42, N = 3SE +/- 0.22, N = 368.2367.9067.801. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: System V Message Passing

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message PassingLinux 5.8Linux 5.4Linux 5.91000K2000K3000K4000K5000KSE +/- 6757.38, N = 3SE +/- 144575.68, N = 15SE +/- 6099.30, N = 34899988.404624409.894608826.621. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pLinux 5.9Linux 5.8Linux 5.480160240320400SE +/- 0.51, N = 3SE +/- 0.78, N = 3SE +/- 0.68, N = 3390.64389.39389.16MIN: 284.57 / MAX: 621.43MIN: 284.04 / MAX: 622.86MIN: 283.33 / MAX: 628.161. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3104.65103.76103.63MIN: 98.09 / MAX: 118.79MIN: 97.22 / MAX: 117.82MIN: 97.01 / MAX: 117.671. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pLinux 5.8Linux 5.4Linux 5.980160240320400SE +/- 0.71, N = 3SE +/- 0.88, N = 3SE +/- 0.04, N = 3361.03360.91359.55MIN: 332.7 / MAX: 396.62MIN: 320.03 / MAX: 393.23MIN: 326.04 / MAX: 3931. (CC) gcc options: -pthread

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitLinux 5.4Linux 5.9Linux 5.820406080100SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 383.4983.0182.96MIN: 56.28 / MAX: 184.52MIN: 56.07 / MAX: 181.91MIN: 56.02 / MAX: 182.081. (CC) gcc options: -pthread

MPV

Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.8Linux 5.9Linux 5.4918273645SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 337.5037.4837.19MIN: 36.81 / MAX: 38.22MIN: 36.59 / MAX: 38.22MIN: 36.15 / MAX: 37.981. mpv 0.32.0

MPV

Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.8Linux 5.9Linux 5.4306090120150SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3153.94153.91150.37MIN: 129 / MAX: 157.9MIN: 123.87 / MAX: 157.9MIN: 112.18 / MAX: 157.91. mpv 0.32.0

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.8Linux 5.9Linux 5.40.33750.6751.01251.351.6875SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.501.491.49

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.9Linux 5.8Linux 5.40.3330.6660.9991.3321.665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.481.471.46

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.8Linux 5.4Linux 5.90.20480.40960.61440.81921.024SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.910.910.90

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.9Linux 5.8Linux 5.40.20250.4050.60750.811.0125SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.900.890.89

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.98001600240032004000SE +/- 8.11, N = 3SE +/- 7.38, N = 3SE +/- 4.20, N = 33720.683713.403712.89

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.9Linux 5.4Linux 5.88001600240032004000SE +/- 2.42, N = 3SE +/- 8.81, N = 3SE +/- 10.34, N = 33711.833700.083697.19

NeatBench

Acceleration: CPU

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPULinux 5.9Linux 5.8Linux 5.43691215SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.810.810.4

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPULinux 5.9Linux 5.4Linux 5.817003400510068008500SE +/- 25.64, N = 3SE +/- 14.44, N = 3SE +/- 5.67, N = 3771877107708

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.8Linux 5.4Linux 5.910M20M30M40M50MSE +/- 52622.62, N = 3SE +/- 148494.90, N = 3SE +/- 129412.59, N = 344673416.744618964.444505024.9

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCLinux 5.9Linux 5.8Linux 5.40.19350.3870.58050.7740.9675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.860.860.84MIN: 0.83 / MAX: 0.87MIN: 0.82 / MAX: 0.87MIN: 0.81 / MAX: 0.86

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismLinux 5.9Linux 5.8Linux 5.40.21150.4230.63450.8461.0575SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.940.930.92MIN: 0.91 / MAX: 1.02MIN: 0.91 / MAX: 0.96MIN: 0.89 / MAX: 0.97

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.4Linux 5.8Linux 5.96001200180024003000SE +/- 7.37, N = 3SE +/- 8.43, N = 3SE +/- 16.61, N = 32710.12708.92706.71. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.9Linux 5.8Linux 5.46121824302323231. (CC) gcc options: -O3 -pthread -lz -llzma

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.8Linux 5.9Linux 5.45K10K15K20K25KSE +/- 82.87, N = 3SE +/- 83.00, N = 3SE +/- 110.33, N = 323103.6022961.9821538.731. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestLinux 5.4Linux 5.8Linux 5.96K12K18K24K30KSE +/- 338.75, N = 3SE +/- 332.69, N = 3SE +/- 45.63, N = 32899728756282641. (CXX) g++ options: -pipe -lpthread

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.9Linux 5.8816243240SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 333.6233.5733.521. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.8Linux 5.9Linux 5.42004006008001000SE +/- 3.48, N = 3SE +/- 2.19, N = 3SE +/- 11.67, N = 39919879531. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.8Linux 5.9Linux 5.42004006008001000SE +/- 4.93, N = 3SE +/- 4.73, N = 39079018761. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.9Linux 5.8Linux 5.460K120K180K240K300KSE +/- 63.07, N = 3SE +/- 136.67, N = 3SE +/- 349.60, N = 32616262613232563471. (CXX) g++ options: -flto -pthread

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.9Linux 5.8Linux 5.40.14040.28080.42120.56160.702SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.020, N = 90.6240.6190.5861. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.8Linux 5.90.77421.54842.32263.09683.871SE +/- 0.009, N = 3SE +/- 0.010, N = 3SE +/- 0.005, N = 33.4413.4383.4371. (CXX) g++ options: -O3 -pthread -lm

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.8Linux 5.9Linux 5.4100K200K300K400K500KSE +/- 552.43, N = 3SE +/- 861.37, N = 3SE +/- 5820.40, N = 3480395.45474329.50440142.271. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.4Linux 5.8Linux 5.9100M200M300M400M500MSE +/- 548012.24, N = 3SE +/- 531332.52, N = 3SE +/- 1176140.02, N = 3445325469.78444887120.59443682873.661. (CC) gcc options: -O3 -march=native -lm

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.8Linux 5.9Linux 5.4140280420560700627624593

GLmark2

Resolution: 1920 x 1200

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200Linux 5.9Linux 5.8Linux 5.4120240360480600556553528

GLmark2

Resolution: 2560 x 1440

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440Linux 5.9Linux 5.8Linux 5.480160240320400362361349

GLmark2

Resolution: 3840 x 2160

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160Linux 5.9Linux 5.8Linux 5.44080120160200161161157

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreLinux 5.4Linux 5.9Linux 5.82004006008001000838832831

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreLinux 5.4Linux 5.8Linux 5.92004006008001000909907905

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreLinux 5.4Linux 5.8Linux 5.9400800120016002000174717381737

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingLinux 5.9Linux 5.4Linux 5.82004006008001000SE +/- 0.69, N = 3SE +/- 2.01, N = 3SE +/- 15.95, N = 15798.88797.68776.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageLinux 5.4Linux 5.8Linux 5.95K10K15K20K25KSE +/- 216.15, N = 3SE +/- 235.28, N = 3SE +/- 218.93, N = 325141.4324549.3224347.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterLinux 5.4Linux 5.8Linux 5.92004006008001000SE +/- 0.19, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 3990.87987.26986.381. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.9Linux 5.8Linux 5.42M4M6M8M10MSE +/- 124576.41, N = 3SE +/- 475554.05, N = 9SE +/- 5698.82, N = 38728463672941728929741. (CXX) g++ options: -O3 -fopenmp

InfluxDB

Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.9Linux 5.8300K600K900K1200K1500KSE +/- 2088.97, N = 3SE +/- 5945.94, N = 3SE +/- 3705.44, N = 31190894.91086068.71084501.1

InfluxDB

Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.9Linux 5.4Linux 5.8300K600K900K1200K1500KSE +/- 1100.56, N = 3SE +/- 588.19, N = 3SE +/- 4430.10, N = 31242649.21239227.01239154.6

InfluxDB

Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.8Linux 5.9Linux 5.4300K600K900K1200K1500KSE +/- 1296.96, N = 3SE +/- 1603.00, N = 3SE +/- 1080.06, N = 31254110.11252051.71250226.3

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricLinux 5.4Linux 5.9Linux 5.813K26K39K52K65K6183661663616061. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.9Linux 5.8Linux 5.40.71261.42522.13782.85043.563SE +/- 0.00339, N = 3SE +/- 0.02241, N = 3SE +/- 0.01880, N = 33.100763.139063.16702

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.8Linux 5.9Linux 5.40.33730.67461.01191.34921.6865SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.4981.4981.4991. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.8Linux 5.4Linux 5.90.52851.0571.58552.1142.6425SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.003, N = 32.3462.3482.3491. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.8Linux 5.9Linux 5.448121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 316.6816.7416.741. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.9Linux 5.4Linux 5.8246810SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.003, N = 37.0097.0157.0171. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.8Linux 5.9Linux 5.4918273645SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 338.9238.9339.001. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.9Linux 5.8Linux 5.490K180K270K360K450KSE +/- 34.51, N = 3SE +/- 21.36, N = 3SE +/- 163.48, N = 3398749398809399233

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.9Linux 5.8Linux 5.41.2M2.4M3.6M4.8M6MSE +/- 610.31, N = 3SE +/- 51.32, N = 3SE +/- 1685.06, N = 3574843357489105749560

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.9Linux 5.860K120K180K240K300KSE +/- 56.15, N = 3SE +/- 39.95, N = 3SE +/- 33.14, N = 3292827292836292887

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.8Linux 5.4Linux 5.960K120K180K240K300KSE +/- 15.28, N = 3SE +/- 6.12, N = 3SE +/- 47.69, N = 3270791270813270872

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.8Linux 5.960K120K180K240K300KSE +/- 17.75, N = 3SE +/- 79.65, N = 3SE +/- 68.79, N = 3278472278501278615

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.9Linux 5.4Linux 5.81.1M2.2M3.3M4.4M5.5MSE +/- 317.51, N = 3SE +/- 294.86, N = 3SE +/- 1330.61, N = 3520109752014435202810

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.9Linux 5.811K22K33K44K55KSE +/- 17.36, N = 3SE +/- 15.95, N = 3SE +/- 24.10, N = 35129052820531881. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.9Linux 5.820K40K60K80K100KSE +/- 85.08, N = 3SE +/- 328.88, N = 3SE +/- 1277.85, N = 141023891058211075671. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.9Linux 5.830K60K90K120K150KSE +/- 103.41, N = 3SE +/- 34.95, N = 3SE +/- 63.52, N = 31256571301511303891. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.9Linux 5.860K120K180K240K300KSE +/- 101.17, N = 3SE +/- 69.44, N = 3SE +/- 225.71, N = 32507612599402605041. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goLinux 5.8Linux 5.9Linux 5.450100150200250210210214

PyPerformance

Benchmark: 2to3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Linux 5.8Linux 5.9Linux 5.460120180240300278278279

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosLinux 5.8Linux 5.4Linux 5.920406080100SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 389.990.290.2

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 397.197.297.4

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyLinux 5.4Linux 5.8Linux 5.920406080100109109109

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibLinux 5.9Linux 5.4Linux 5.848121620SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 317.617.717.8

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceLinux 5.8Linux 5.4Linux 5.990180270360450SE +/- 0.33, N = 3SE +/- 0.67, N = 3399400401

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsLinux 5.8Linux 5.9Linux 5.4510152025SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 322.122.122.3

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesLinux 5.9Linux 5.8Linux 5.420406080100SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 392.492.594.0

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileLinux 5.8Linux 5.9Linux 5.4306090120150149150151

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupLinux 5.4Linux 5.8Linux 5.9246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.757.777.78

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateLinux 5.8Linux 5.9Linux 5.4918273645SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 340.140.440.6

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonLinux 5.4Linux 5.8Linux 5.980160240320400SE +/- 0.67, N = 3SE +/- 0.58, N = 3368368368

Renaissance

Test: Scala Dotty

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Scala DottyLinux 5.8Linux 5.4Linux 5.930060090012001500SE +/- 8.98, N = 5SE +/- 13.80, N = 5SE +/- 15.02, N = 51521.471525.661552.34

Renaissance

Test: Random Forest

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestLinux 5.4Linux 5.9Linux 5.8400800120016002000SE +/- 20.88, N = 5SE +/- 18.08, N = 25SE +/- 24.52, N = 251611.401685.931712.83

Renaissance

Test: Apache Spark ALS

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark ALSLinux 5.4Linux 5.8Linux 5.96001200180024003000SE +/- 19.32, N = 25SE +/- 39.61, N = 25SE +/- 33.82, N = 252266.942605.072642.19

Renaissance

Test: Apache Spark Bayes

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark BayesLinux 5.8Linux 5.9Linux 5.46001200180024003000SE +/- 55.26, N = 25SE +/- 57.81, N = 25SE +/- 58.62, N = 252845.832863.142928.27

Renaissance

Test: Savina Reactors.IO

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Savina Reactors.IOLinux 5.9Linux 5.8Linux 5.44K8K12K16K20KSE +/- 151.20, N = 20SE +/- 123.78, N = 5SE +/- 212.09, N = 515086.8715098.2417713.74

Renaissance

Test: Apache Spark PageRank

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRankLinux 5.4Linux 5.8Linux 5.99001800270036004500SE +/- 68.36, N = 21SE +/- 75.44, N = 25SE +/- 44.43, N = 254012.354095.814135.93

Renaissance

Test: In-Memory Database Shootout

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database ShootoutLinux 5.4Linux 5.8Linux 5.97001400210028003500SE +/- 34.78, N = 5SE +/- 35.26, N = 25SE +/- 41.32, N = 53052.943219.103253.72

Renaissance

Test: Akka Unbalanced Cobwebbed Tree

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeLinux 5.9Linux 5.8Linux 5.416003200480064008000SE +/- 86.44, N = 5SE +/- 52.14, N = 5SE +/- 102.37, N = 57634.877656.807673.09

oneDNN

Harness: IP Batch 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPULinux 5.8Linux 5.4Linux 5.9246810SE +/- 0.02516, N = 3SE +/- 0.00427, N = 3SE +/- 0.03872, N = 36.541026.543846.60699MIN: 6.33MIN: 6.29MIN: 6.41. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: IP Batch All - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPULinux 5.8Linux 5.4Linux 5.920406080100SE +/- 0.24, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 398.0798.3798.55MIN: 96.88MIN: 96.72MIN: 96.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.9Linux 5.80.68631.37262.05892.74523.4315SE +/- 0.00383, N = 3SE +/- 0.00964, N = 3SE +/- 0.00143, N = 33.005273.018763.05035MIN: 2.93MIN: 2.93MIN: 2.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9918273645SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 340.5641.0141.12MIN: 40.09MIN: 40.6MIN: 40.471. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.9Linux 5.8Linux 5.4510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 321.3721.4821.72MIN: 21.22MIN: 21.34MIN: 21.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9246810SE +/- 0.00290, N = 3SE +/- 0.01348, N = 3SE +/- 0.00733, N = 37.438207.473817.55572MIN: 7.4MIN: 7.41MIN: 7.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.9Linux 5.83691215SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 311.4611.6711.93MIN: 11.3MIN: 11.44MIN: 11.661. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPULinux 5.9Linux 5.8Linux 5.448121620SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 316.0216.1916.39MIN: 15.62MIN: 15.69MIN: 15.711. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPULinux 5.8Linux 5.4Linux 5.9246810SE +/- 0.02286, N = 3SE +/- 0.02099, N = 3SE +/- 0.07536, N = 38.133438.181478.20617MIN: 8.03MIN: 8.06MIN: 8.061. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.9Linux 5.81.34192.68384.02575.36766.7095SE +/- 0.01148, N = 3SE +/- 0.01836, N = 3SE +/- 0.00504, N = 35.922715.956875.96393MIN: 5.88MIN: 5.87MIN: 5.911. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 5.9Linux 5.4Linux 5.8110220330440550SE +/- 5.06, N = 3SE +/- 0.50, N = 3SE +/- 2.50, N = 3479.08482.65485.39MIN: 469.42MIN: 480.58MIN: 480.321. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.970140210280350SE +/- 1.86, N = 3SE +/- 0.56, N = 3SE +/- 2.37, N = 3297.06297.45300.91MIN: 294.1MIN: 295.8MIN: 295.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPULinux 5.4Linux 5.9Linux 5.80.94671.89342.84013.78684.7335SE +/- 0.00371, N = 3SE +/- 0.01366, N = 3SE +/- 0.01635, N = 34.128004.145334.20741MIN: 4.07MIN: 4.08MIN: 4.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPULinux 5.9Linux 5.8Linux 5.41.29892.59783.89675.19566.4945SE +/- 0.00520, N = 3SE +/- 0.00567, N = 3SE +/- 0.06972, N = 35.703635.706895.77276MIN: 5.62MIN: 5.61MIN: 5.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.4Linux 5.8Linux 5.9246810SE +/- 0.023, N = 3SE +/- 0.018, N = 3SE +/- 0.017, N = 37.8248.0688.084MIN: 7.71 / MAX: 27.2MIN: 7.99 / MAX: 12.11MIN: 8.02 / MAX: 11.771. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.8Linux 5.91020304050SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 342.2543.9944.19MIN: 41.79 / MAX: 57.27MIN: 43.66 / MAX: 111.84MIN: 43.82 / MAX: 89.331. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.4Linux 5.8Linux 5.91.00222.00443.00664.00885.011SE +/- 0.008, N = 3SE +/- 0.021, N = 3SE +/- 0.002, N = 34.3514.4374.454MIN: 4.27 / MAX: 20.32MIN: 4.37 / MAX: 21.73MIN: 4.42 / MAX: 8.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.8Linux 5.9246810SE +/- 0.024, N = 3SE +/- 0.023, N = 3SE +/- 0.008, N = 35.9996.1566.161MIN: 5.91 / MAX: 9.9MIN: 6.04 / MAX: 23.01MIN: 6.1 / MAX: 10.411. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.8Linux 5.91122334455SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 347.6749.1749.33MIN: 47.15 / MAX: 63.21MIN: 48.85 / MAX: 73.83MIN: 49.12 / MAX: 66.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8Linux 5.9Linux 5.4510152025SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 320.3820.4620.52MIN: 20.3 / MAX: 21.63MIN: 20.3 / MAX: 29.27MIN: 20.33 / MAX: 23.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.8Linux 5.9Linux 5.4612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 323.6223.6223.75MIN: 23.54 / MAX: 25.8MIN: 23.49 / MAX: 25.45MIN: 23.6 / MAX: 33.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.346.366.36MIN: 6.26 / MAX: 7.66MIN: 6.29 / MAX: 7.84MIN: 6.27 / MAX: 8.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.91.20832.41663.62494.83326.0415SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.375.375.37MIN: 5.31 / MAX: 6.75MIN: 5.3 / MAX: 6.88MIN: 5.29 / MAX: 6.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.90.83251.6652.49753.334.1625SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 33.683.693.70MIN: 3.64 / MAX: 5.72MIN: 3.63 / MAX: 5.12MIN: 3.63 / MAX: 23.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.9Linux 5.4Linux 5.81.2152.433.6454.866.075SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 35.295.305.40MIN: 5.24 / MAX: 6.68MIN: 5.25 / MAX: 7.75MIN: 5.25 / MAX: 40.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.8Linux 5.9Linux 5.4246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 38.568.568.58MIN: 8.5 / MAX: 9.18MIN: 8.49 / MAX: 9.17MIN: 8.49 / MAX: 21.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.8Linux 5.4Linux 5.90.38250.7651.14751.531.9125SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 31.691.701.70MIN: 1.67 / MAX: 1.75MIN: 1.67 / MAX: 1.78MIN: 1.68 / MAX: 1.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.9Linux 5.8510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 318.8118.8118.85MIN: 18.71 / MAX: 19.31MIN: 18.71 / MAX: 20.89MIN: 18.69 / MAX: 20.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 378.9979.1679.16MIN: 78.84 / MAX: 88.48MIN: 78.88 / MAX: 88.73MIN: 78.91 / MAX: 88.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.9Linux 5.4Linux 5.848121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 318.1018.1418.15MIN: 17.98 / MAX: 20.49MIN: 18.03 / MAX: 20.15MIN: 17.99 / MAX: 20.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8Linux 5.4Linux 5.9510152025SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 319.8619.9819.99MIN: 19.72 / MAX: 29.42MIN: 19.74 / MAX: 20.46MIN: 19.74 / MAX: 20.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.8Linux 5.4Linux 5.9918273645SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 337.4937.5237.55MIN: 37.36 / MAX: 40.61MIN: 37.36 / MAX: 62.22MIN: 37.36 / MAX: 52.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.8Linux 5.9Linux 5.4816243240SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 332.5332.5932.66MIN: 32.45 / MAX: 35.73MIN: 32.47 / MAX: 34.94MIN: 32.51 / MAX: 34.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.8Linux 5.9Linux 5.420406080100SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 341.2741.29106.61MIN: 40.78 / MAX: 42.17MIN: 40.79 / MAX: 42.15MIN: 104.06 / MAX: 109.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.9Linux 5.8Linux 5.420406080100SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 337.0437.2099.08MIN: 34.76 / MAX: 44.88MIN: 34.81 / MAX: 44.93MIN: 96.17 / MAX: 104.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.8Linux 5.9Linux 5.4816243240SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.7611.7733.64MIN: 11.27 / MAX: 12.75MIN: 11.06 / MAX: 13.04MIN: 33.07 / MAX: 34.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.8Linux 5.9Linux 5.4918273645SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 313.0013.0237.77MIN: 12.32 / MAX: 13.23MIN: 12.89 / MAX: 13.25MIN: 33.38 / MAX: 38.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Linux 5.8Linux 5.9Linux 5.4612182430SE +/- 0.08, N = 3SE +/- 0.25, N = 3SE +/- 0.02, N = 38.308.7523.17MIN: 7.58 / MAX: 8.86MIN: 7.72 / MAX: 9.77MIN: 21.86 / MAX: 25.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.8Linux 5.9Linux 5.4816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.1112.1134.86MIN: 12.07 / MAX: 12.17MIN: 11.59 / MAX: 12.26MIN: 34.26 / MAX: 35.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.8Linux 5.9Linux 5.41632486480SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 324.4724.4970.82MIN: 23.73 / MAX: 24.58MIN: 23.83 / MAX: 25.59MIN: 69.67 / MAX: 71.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.9Linux 5.8Linux 5.4246810SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 32.252.426.19MIN: 2.06 / MAX: 2.73MIN: 2.11 / MAX: 2.83MIN: 5.97 / MAX: 6.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.8Linux 5.9Linux 5.420406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 333.4633.4993.16MIN: 33.2 / MAX: 33.72MIN: 32.86 / MAX: 34.59MIN: 62.27 / MAX: 94.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.9Linux 5.8Linux 5.450100150200250SE +/- 0.15, N = 3SE +/- 0.62, N = 3SE +/- 0.03, N = 3193.36193.83250.13MIN: 191.52 / MAX: 195.18MIN: 190.96 / MAX: 196.34MIN: 245.47 / MAX: 262.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.8Linux 5.9Linux 5.420406080100SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 329.5329.5779.77MIN: 29.19 / MAX: 30.71MIN: 29.16 / MAX: 29.67MIN: 76.91 / MAX: 83.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.9Linux 5.8Linux 5.420406080100SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 2.09, N = 346.4447.09106.57MIN: 44.14 / MAX: 49.49MIN: 44.75 / MAX: 50.3MIN: 45.62 / MAX: 113.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.9Linux 5.8Linux 5.4306090120150SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 371.4971.50141.04MIN: 71.03 / MAX: 71.74MIN: 71.18 / MAX: 72.42MIN: 127.63 / MAX: 144.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.8Linux 5.9Linux 5.4306090120150SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 377.6577.81145.32MIN: 75.84 / MAX: 78.61MIN: 76.22 / MAX: 114.27MIN: 108.89 / MAX: 162.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.9Linux 5.4Linux 5.870140210280350SE +/- 0.41, N = 3SE +/- 0.37, N = 3SE +/- 1.05, N = 3307.95308.55308.57MIN: 306.42 / MAX: 312.63MIN: 307.18 / MAX: 309.84MIN: 306.49 / MAX: 311.861. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.8Linux 5.9Linux 5.460120180240300SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3297.51297.52297.61MIN: 297.11 / MAX: 297.95MIN: 297.06 / MAX: 298.41MIN: 297.15 / MAX: 298.481. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.8Linux 5.9Linux 5.46001200180024003000SE +/- 5.30, N = 3SE +/- 6.91, N = 3SE +/- 12.61, N = 32657.932663.592694.91

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.8Linux 5.9Linux 5.46001200180024003000SE +/- 7.21, N = 3SE +/- 3.35, N = 3SE +/- 6.28, N = 32710.492716.752734.33

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.9Linux 5.8Linux 5.49001800270036004500SE +/- 4.29, N = 3SE +/- 11.71, N = 3SE +/- 6.10, N = 34314.694332.324345.92

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.9Linux 5.8Linux 5.49001800270036004500SE +/- 1.73, N = 3SE +/- 20.80, N = 3SE +/- 10.14, N = 34354.594379.114399.20

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.90.24080.48160.72240.96321.204SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.071.071.07

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.90.24080.48160.72240.96321.204SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.071.071.07

OpenCV

Test: Features 2D

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Features 2DLinux 5.8Linux 5.9Linux 5.430K60K90K120K150KSE +/- 415.82, N = 3SE +/- 1357.42, N = 3SE +/- 1472.64, N = 61307511313761322081. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

OpenCV

Test: Object Detection

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Object DetectionLinux 5.9Linux 5.8Linux 5.48K16K24K32K40KSE +/- 481.89, N = 4SE +/- 514.75, N = 4SE +/- 539.05, N = 153545935725361041. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

OpenCV

Test: DNN - Deep Neural Network

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkLinux 5.8Linux 5.9Linux 5.46K12K18K24K30KSE +/- 71.34, N = 3SE +/- 179.08, N = 3SE +/- 8295.57, N = 151777517833282321. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

DaCapo Benchmark

Java Test: H2

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Linux 5.8Linux 5.9Linux 5.46001200180024003000SE +/- 47.98, N = 20SE +/- 51.89, N = 20SE +/- 33.70, N = 4292829352955

DaCapo Benchmark

Java Test: Jython

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonLinux 5.8Linux 5.4Linux 5.98001600240032004000SE +/- 28.79, N = 20SE +/- 45.57, N = 5SE +/- 40.45, N = 20352135323622

DaCapo Benchmark

Java Test: Tradesoap

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapLinux 5.4Linux 5.8Linux 5.912002400360048006000SE +/- 74.35, N = 4SE +/- 44.65, N = 4563457165780

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoLinux 5.4Linux 5.8Linux 5.960120180240300SE +/- 2.09, N = 15SE +/- 0.06, N = 3SE +/- 0.08, N = 342.12258.72258.76

WireGuard + Linux Networking Stack Stress Test

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestLinux 5.4Linux 5.9Linux 5.84080120160200SE +/- 1.52, N = 3SE +/- 1.26, N = 3SE +/- 1.05, N = 3168.75183.33184.54

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.9Linux 5.8Linux 5.4100200300400500SE +/- 1.07, N = 3SE +/- 1.37, N = 3SE +/- 1.14, N = 3453.55453.97457.361. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DLinux 5.4Linux 5.9Linux 5.820406080100SE +/- 0.05, N = 3SE +/- 0.22, N = 3SE +/- 0.27, N = 399.7999.89100.011. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteLinux 5.4Linux 5.9Linux 5.850100150200250SE +/- 0.27, N = 3SE +/- 0.83, N = 3SE +/- 0.13, N = 3201.50206.12207.371. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverLinux 5.8Linux 5.9Linux 5.4918273645SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 338.6838.7238.771. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterLinux 5.9Linux 5.8Linux 5.4510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 321.2921.2921.331. (CXX) g++ options: -O2 -lOpenCL

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.4Linux 5.8Linux 5.948121620SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 318.1518.1518.19

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.9Linux 5.8Linux 5.420406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3102.40102.46102.551. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.4Linux 5.9Linux 5.8130260390520650SE +/- 0.53, N = 3SE +/- 1.18, N = 3SE +/- 0.21, N = 3600.64603.42605.081. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.9Linux 5.8Linux 5.43691215SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 310.3210.3210.381. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.4Linux 5.8Linux 5.950100150200250SE +/- 0.33, N = 32412412411. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Java Gradle Build

Gradle Build: Reactor

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorLinux 5.8Linux 5.9Linux 5.44080120160200SE +/- 2.36, N = 12SE +/- 2.86, N = 12SE +/- 2.14, N = 12193.06197.76199.23

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.4Linux 5.8Linux 5.9306090120150SE +/- 0.24, N = 3SE +/- 0.33, N = 3SE +/- 1.40, N = 3147.09148.53149.101. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.8Linux 5.4Linux 5.920406080100SE +/- 0.23, N = 3SE +/- 0.10, N = 3SE +/- 0.24, N = 387.5287.8887.901. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 8

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.4Linux 5.8Linux 5.9246810SE +/- 0.019, N = 3SE +/- 0.022, N = 3SE +/- 0.012, N = 36.7606.8526.8901. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 10

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Linux 5.4Linux 5.8Linux 5.9246810SE +/- 0.014, N = 3SE +/- 0.010, N = 3SE +/- 0.013, N = 36.2946.3626.3921. (CXX) g++ options: -O3 -fPIC

Timed Apache Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileLinux 5.8Linux 5.9Linux 5.4612182430SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 326.5226.5426.67

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileLinux 5.8Linux 5.4Linux 5.94080120160200SE +/- 0.73, N = 3SE +/- 0.55, N = 3SE +/- 0.83, N = 3159.02159.96160.02

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileLinux 5.4Linux 5.9Linux 5.84080120160200SE +/- 0.23, N = 3SE +/- 0.61, N = 3SE +/- 0.82, N = 3193.41194.41195.01

XZ Compression

Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Linux 5.9Linux 5.8Linux 5.4918273645SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.25, N = 339.9140.0040.191. (CC) gcc options: -pthread -fvisibility=hidden -O2

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.4Linux 5.8Linux 5.9714212835SE +/- 0.18, N = 4SE +/- 0.27, N = 20SE +/- 0.21, N = 1727.0029.6629.861. (CC) gcc options: -O2 -std=c99

Montage Astronomical Image Mosaic Engine

Mosaic of M17, K band, 1.5 deg x 1.5 deg

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 376.7876.9177.021. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.8Linux 5.9Linux 5.4612182430SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 324.0724.0724.081. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

System GZIP Decompression

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.9Linux 5.8Linux 5.40.65031.30061.95092.60123.2515SE +/- 0.034, N = 14SE +/- 0.045, N = 14SE +/- 0.040, N = 142.8692.8802.890

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.8Linux 5.9Linux 5.4306090120150SE +/- 0.55, N = 3SE +/- 0.87, N = 3SE +/- 0.66, N = 3120.15122.09152.451. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastLinux 5.4Linux 5.8Linux 5.9246810SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 37.577.597.601. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumLinux 5.8Linux 5.9Linux 5.43691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 38.958.968.971. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.8Linux 5.9Linux 5.41326395265SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 357.7757.8457.921. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.8Linux 5.9Linux 5.4100200300400500SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3461.89461.93464.581. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Hugin

Panorama Photo Assistant + Stitching Time

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeLinux 5.4Linux 5.8Linux 5.91428425670SE +/- 0.17, N = 3SE +/- 0.46, N = 3SE +/- 0.11, N = 361.7062.5462.88

OCRMyPDF

Processing 60 Page PDF Document

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentLinux 5.4Linux 5.8Linux 5.91020304050SE +/- 0.22, N = 3SE +/- 0.21, N = 3SE +/- 0.35, N = 344.7244.7844.84

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.4Linux 5.9Linux 5.8110220330440550SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 1.07, N = 3484.98485.03487.421. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.8Linux 5.9Linux 5.41326395265SE +/- 0.35, N = 3SE +/- 0.69, N = 4SE +/- 0.38, N = 355.3656.0656.54

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8Linux 5.91632486480SE +/- 0.33, N = 3SE +/- 0.80, N = 3SE +/- 0.71, N = 1269.9571.9472.05

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.8Linux 5.9Linux 5.4612182430SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 323.6023.6223.65

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.9Linux 5.8Linux 5.40.7831.5662.3493.1323.915SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 103.423.443.48

Sunflow Rendering System

Global Illumination + Image Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisLinux 5.4Linux 5.9Linux 5.80.44510.89021.33531.78042.2255SE +/- 0.003, N = 3SE +/- 0.010, N = 3SE +/- 0.018, N = 31.9481.9561.978MIN: 1.86 / MAX: 2.45MIN: 1.84 / MAX: 2.46MIN: 1.86 / MAX: 2.52

Tesseract OCR

Time To OCR 7 Images

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesLinux 5.4Linux 5.9Linux 5.8510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 322.6222.6622.69

Phoronix Test Suite v10.8.5