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&grs.

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 2020stress-ng: RdRandncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinystress-ng: Semaphoresncnn: Vulkan GPU - vgg16stress-ng: NUMAcouchdb: 100 - 1000 - 24renaissance: Savina Reactors.IOstress-ng: Forkingstress-ng: MMAPstress-ng: MEMFDstress-ng: Context Switchingespeak: Text-To-Speech Synthesisinfluxdb: 4 - 10000 - 2,5000,1 - 10000wireguard: keydb: vkfft: stress-ng: Socket Activityffte: N=256, 3D Complex FFT Routinerenaissance: In-Memory Database Shootoutglmark2: 1920 x 1080glmark2: 1920 x 1200stress-ng: SENDFILEcaffe: AlexNet - CPU - 200stress-ng: Atomicmnn: resnet-v2-50onednn: Deconvolution Batch deconv_3d - f32 - CPUlczero: BLAScaffe: GoogleNet - CPU - 200neatbench: CPUcaffe: GoogleNet - CPU - 100glmark2: 2560 x 1440caffe: AlexNet - CPU - 100lczero: Eigenmnn: inception-v3mnn: SqueezeNetV1.0daphne: OpenMP - Points2Imagejava-gradle-perf: Reactormlpack: scikit_qdarodinia: OpenMP Leukocytedacapobench: Jythonmnn: mobilenet-v1-1.0compress-7zip: Compress Speed Testdacapobench: Tradesoapglmark2: 3840 x 2160luxcorerender: DLSCmpv: Big Buck Bunny Sunflower 1080p - Software Onlymnn: MobileNetV2_224onednn: Convolution Batch Shapes Auto - u8s8f32 - CPUluxcorerender: Rainbow Colors and Prismnamd: ATPase Simulation - 327,506 Atomsmlpack: scikit_icancnn: CPU - mnasnetlczero: Randrenaissance: Scala Dottyonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUavifenc: 8hugin: Panorama Photo Assistant + Stitching Timepyperformance: goopencv: Object Detectionmlpack: scikit_linearridgeregressionpyperformance: crypto_pyaesonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUavifenc: 10sunflow: Global Illumination + Image Synthesisonednn: IP Batch 1D - u8s8f32 - CPUstress-ng: Memory Copyingopenvino: Face Detection 0106 FP16 - CPUonednn: IP Batch All - u8s8f32 - CPUopenvino: Face Detection 0106 FP32 - CPUavifenc: 0pyperformance: regex_compileonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUstress-ng: Glibc C String Functionspyperformance: django_templateonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUpyperformance: pathlibopenvino: Person Detection 0106 FP32 - CPUopencv: Features 2Dopenvino: Person Detection 0106 FP16 - CPUstress-ng: CPU Cacheopenvino: Person Detection 0106 FP32 - CPUonednn: IP Batch 1D - f32 - CPUdav1d: Summer Nature 4Kpyperformance: json_loadsonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUopenvino: Face Detection 0106 FP32 - CPUai-benchmark: Device Inference Scorerodinia: OpenMP LavaMDmpv: Big Buck Bunny Sunflower 4K - Software Onlybuild2: Time To Compileincompact3d: Cylindersystem-decompress-gzip: openvino: Person Detection 0106 FP16 - CPUcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9onednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUncnn: CPU - squeezenetopenvino: Face Detection 0106 FP16 - CPUncnn: CPU - alexnetdav1d: Chimera 1080p 10-bitstress-ng: Glibc Qsort Data Sortingbuild-linux-kernel: Time To Compilestress-ng: Matrix Mathncnn: CPU - blazefacemafft: Multiple Sequence Alignment - LSU RNAastcenc: Exhaustiveai-benchmark: Device AI Scorebuild-apache: Time To Compilestress-ng: CPU Stressncnn: CPU - mobilenetncnn: CPU - shufflenet-v2gpaw: Carbon Nanotubepyperformance: raytracerenaissance: Akka Unbalanced Cobwebbed Treeonednn: IP Batch All - f32 - CPUdaphne: OpenMP - Euclidean Clusterai-benchmark: Device Training Scoreavifenc: 2dav1d: Summer Nature 1080pncnn: CPU - yolov4-tinyastcenc: Fastopenvino: Age Gender Recognition Retail 0013 FP32 - CPUpyperformance: python_startupdav1d: Chimera 1080pbyte: Dhrystone 2brl-cad: VGR Performance Metrichint: FLOATpyperformance: 2to3stress-ng: Mallocwebp: Quality 100, Losslesspyperformance: chaosncnn: CPU-v2-v2 - mobilenet-v2influxdb: 1024 - 10000 - 2,5000,1 - 10000tesseract-ocr: Time To OCR 7 Imagespyperformance: floatmontage: Mosaic of M17, K band, 1.5 deg x 1.5 deglibraw: Post-Processing Benchmarkinfluxdb: 64 - 10000 - 2,5000,1 - 10000ncnn: CPU - resnet18ocrmypdf: Processing 60 Page PDF Documentastcenc: Thoroughdolfyn: Computational Fluid Dynamicsrodinia: OpenMP CFD Solverncnn: CPU - efficientnet-b0astcenc: Mediumrodinia: OpenMP HotSpot3Dwebp: Quality 100, Lossless, Highest Compressionncnn: CPU - vgg16ncnn: CPU - googlenetmlpack: scikit_svmopenvino: Age Gender Recognition Retail 0013 FP16 - CPUstress-ng: Vector Mathtnn: CPU - MobileNet v2rodinia: OpenMP Streamclusterncnn: CPU - resnet50hmmer: Pfam Database Searchv-ray: CPUwebp: Quality 100compress-zstd: 3tensorflow-lite: SqueezeNetlammps: Rhodopsin Proteinwebp: Quality 100, Highest Compressionstress-ng: Cryptowebp: Defaulttensorflow-lite: Mobilenet Quantrnnoise: tnn: CPU - SqueezeNet v1.1tensorflow-lite: Inception ResNet V2tensorflow-lite: Mobilenet Floattensorflow-lite: NASNet Mobiletensorflow-lite: Inception V4pyperformance: pickle_pure_pythonpyperformance: nbodyopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUncnn: CPU-v3-v3 - mobilenet-v3compress-zstd: 19mocassin: Dust 2D tau100.0opencv: DNN - Deep Neural Networkkripke: ncnn: Vulkan GPU - blazefacestress-ng: System V Message Passingdaphne: OpenMP - NDT Mappinggromacs: Water Benchmarkrenaissance: Apache Spark PageRankrenaissance: Apache Spark Bayesrenaissance: Apache Spark ALSrenaissance: Rand Forestdacapobench: H2realsr-ncnn: 4x - NoLinux 5.4Linux 5.8Linux 5.9195256.5537.7770.8234.8633.6423.1793.1679.7799.08106.61106.57141.04145.32763926.86250.13125.52152.44617713.73743990.5847.39366.661578574.1426.9991190894.9168.750440142.2711235364.4821538.7314462973052.94159352864128.69102389263212.7342.24711.460995325076110.41256573495129087647.6677.82425141.433877322199.23069.95201.49735325.9992899756341570.84150.374.35116.39020.923.1670256.545.302563471525.6624.128006.76061.699214361043.4894.021.71787.438206.2941.9483.005271367.012694.9140.56051.46147.086151482.653297.060605374.9340.65.7727617.70.891322080.9122.644399.206.54384104.6522.38.181472734.33838457.36237.19193.413600.6389572.8904345.9240.1945.9227120.521.4919.9883.4968.23159.95823746.731.7010.376464.58174726.6712253.8323.753.68484.9804007673.08998.3707990.8790987.881360.9132.667.573700.087.75389.1644618964.461836445325469.7847527930826272.7016.74090.26.341250226.322.62297.176.78433.621239227.018.1444.72257.9218.14938.7738.588.9799.79038.99978.9918.8123.653720.6834720.08308.55221.32937.52102.55377102.3482710.13992333.4417.015978.391.49927847224.077297.608520144327081329282757495603681091.071.075.37232412823228929746.194624409.89797.680.5864012.3482928.2722266.9401611.398295542.1246101.8113.0024.4712.1111.768.3033.4629.5337.2041.2747.0971.5077.65560118.49193.83104.83120.15315098.23842694.5042.37330.201749583.1729.6621084501.1184.544480395.4512114990.2223103.5952977123219.09762755360899.89107567262238.7043.99111.929299126050410.81303893615318890749.1698.06824549.315160252193.05671.94207.37135216.1562875657161610.86153.944.43716.18870.933.1390655.365.402613231521.4694.207416.85262.540210357253.4492.521.48417.473816.3621.9783.050351370.242657.9341.01471.47148.526149485.387297.446612988.3040.15.7068917.80.891307510.9122.554379.116.54102103.7622.18.133432710.49831453.96637.50195.005605.0761922.8804332.3240.0005.9639320.381.519.8682.9667.90159.02323793.601.6910.321461.89173826.5192264.7223.623.69487.4183997656.80298.0709987.2690787.518361.0332.537.593697.197.77389.3944673416.761606444887120.5889927830773901.0016.68389.96.361254110.122.69297.276.91033.521239154.618.1544.77957.7718.15038.6798.568.95100.00638.91579.1618.8523.603713.4034720.29308.57221.29337.49102.45677082.3462708.93988093.4387.017978.231.49827850124.067297.506520281027079129288757489103681091.071.075.37232411777567294172.424899988.40776.820.6194095.8082845.8262605.0711712.8342928258.7226099.9113.0224.4912.1111.778.7533.4929.5737.0441.2946.4471.4977.81560355.50193.3697.27122.08615086.86837586.6042.26333.901737256.0429.8551086068.7183.326474329.5012125084.4422961.9772365793253.71762455661511.86105821274452.4844.19311.667298725994010.81301513625282090149.3308.08424347.011593353197.76072.05206.11636226.1612826457801610.86153.914.45416.01790.943.1007656.065.292616261552.3364.145336.89062.879210354593.4292.421.37237.555726.3921.9563.018761351.142663.5941.12181.48149.099150479.076300.907609670.5240.45.7036317.60.901313760.922.804354.596.60699103.6322.18.206172716.75832453.55137.48194.408603.4241132.8694314.6939.9145.9568720.461.4919.9983.0167.80160.02023890.641.7010.315461.93173726.5362251.9923.623.70485.0334017634.86898.5451986.3890587.900359.5532.597.603711.837.78390.6444505024.961663443682873.6593127830880073.5816.73990.26.361252051.722.65697.477.02033.571242649.218.1044.84357.8418.19438.7208.568.9699.89138.93079.1618.8123.623712.8934648.21307.94721.28637.55102.40077182.3492706.73987493.4377.009979.171.49827861524.074297.517520109727087229283657484333681091.071.075.37232411783387284632.254608826.62798.880.6244135.9322863.1392642.1861685.9292935258.758OpenBenchmarking.org

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

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9918273645SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 337.7713.0013.02MIN: 33.38 / MAX: 38.57MIN: 12.32 / MAX: 13.23MIN: 12.89 / MAX: 13.251. (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 5.4Linux 5.8Linux 5.91632486480SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 370.8224.4724.49MIN: 69.67 / MAX: 71.79MIN: 23.73 / MAX: 24.58MIN: 23.83 / MAX: 25.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9816243240SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 334.8612.1112.11MIN: 34.26 / MAX: 35.46MIN: 12.07 / MAX: 12.17MIN: 11.59 / MAX: 12.261. (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 5.4Linux 5.8Linux 5.9816243240SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 333.6411.7611.77MIN: 33.07 / MAX: 34.23MIN: 11.27 / MAX: 12.75MIN: 11.06 / MAX: 13.041. (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 5.4Linux 5.8Linux 5.9612182430SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.25, N = 323.178.308.75MIN: 21.86 / MAX: 25.39MIN: 7.58 / MAX: 8.86MIN: 7.72 / MAX: 9.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.23, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 393.1633.4633.49MIN: 62.27 / MAX: 94.88MIN: 33.2 / MAX: 33.72MIN: 32.86 / MAX: 34.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 379.7729.5329.57MIN: 76.91 / MAX: 83.23MIN: 29.19 / MAX: 30.71MIN: 29.16 / MAX: 29.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 399.0837.2037.04MIN: 96.17 / MAX: 104.21MIN: 34.81 / MAX: 44.93MIN: 34.76 / MAX: 44.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3106.6141.2741.29MIN: 104.06 / MAX: 109.19MIN: 40.78 / MAX: 42.17MIN: 40.79 / MAX: 42.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 2.09, N = 3SE +/- 0.25, N = 3SE +/- 0.13, N = 3106.5747.0946.44MIN: 45.62 / MAX: 113.54MIN: 44.75 / MAX: 50.3MIN: 44.14 / MAX: 49.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3141.0471.5071.49MIN: 127.63 / MAX: 144.9MIN: 71.18 / MAX: 72.42MIN: 71.03 / MAX: 71.741. (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 5.4Linux 5.8Linux 5.9306090120150SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3145.3277.6577.81MIN: 108.89 / MAX: 162.25MIN: 75.84 / MAX: 78.61MIN: 76.22 / MAX: 114.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Stress-NG

Test: Semaphores

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresLinux 5.4Linux 5.8Linux 5.9160K320K480K640K800KSE +/- 5286.21, N = 3SE +/- 6354.42, N = 3SE +/- 3455.29, N = 3763926.86560118.49560355.501. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.950100150200250SE +/- 0.03, N = 3SE +/- 0.62, N = 3SE +/- 0.15, N = 3250.13193.83193.36MIN: 245.47 / MAX: 262.02MIN: 190.96 / MAX: 196.34MIN: 191.52 / MAX: 195.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.4Linux 5.8Linux 5.9306090120150SE +/- 0.66, N = 3SE +/- 0.55, N = 3SE +/- 0.87, N = 3152.45120.15122.091. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Renaissance

Test: Savina Reactors.IO

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Savina Reactors.IOLinux 5.4Linux 5.8Linux 5.94K8K12K16K20KSE +/- 212.09, N = 5SE +/- 123.78, N = 5SE +/- 151.20, N = 2017713.7415098.2415086.87

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: 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: MEMFD

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDLinux 5.4Linux 5.8Linux 5.980160240320400SE +/- 1.32, N = 3SE +/- 0.87, N = 3SE +/- 0.62, N = 3366.66330.20333.901. (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 5.4Linux 5.8Linux 5.9400K800K1200K1600K2000KSE +/- 2474.15, N = 3SE +/- 2375.17, N = 3SE +/- 12341.27, N = 31578574.141749583.171737256.041. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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

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 5.8Linux 5.9300K600K900K1200K1500KSE +/- 2088.97, N = 3SE +/- 3705.44, N = 3SE +/- 5945.94, N = 31190894.91084501.11086068.7

WireGuard + Linux Networking Stack Stress Test

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestLinux 5.4Linux 5.8Linux 5.94080120160200SE +/- 1.52, N = 3SE +/- 1.05, N = 3SE +/- 1.26, N = 3168.75184.54183.33

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.4Linux 5.8Linux 5.9100K200K300K400K500KSE +/- 5820.40, N = 3SE +/- 552.43, N = 3SE +/- 861.37, N = 3440142.27480395.45474329.501. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.4Linux 5.8Linux 5.930060090012001500SE +/- 0.58, N = 3SE +/- 0.67, N = 3112312111212

Stress-NG

Test: Socket Activity

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityLinux 5.4Linux 5.8Linux 5.911002200330044005500SE +/- 67.02, N = 5SE +/- 53.60, N = 3SE +/- 51.41, N = 35364.484990.225084.441. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.8Linux 5.95K10K15K20K25KSE +/- 110.33, N = 3SE +/- 82.87, N = 3SE +/- 83.00, N = 321538.7323103.6022961.981. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.4Linux 5.8Linux 5.9140280420560700593627624

GLmark2

Resolution: 1920 x 1200

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200Linux 5.4Linux 5.8Linux 5.9120240360480600528553556

Stress-NG

Test: SENDFILE

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILELinux 5.4Linux 5.8Linux 5.914K28K42K56K70KSE +/- 48.64, N = 3SE +/- 53.10, N = 3SE +/- 13.69, N = 364128.6960899.8961511.861. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.920K40K60K80K100KSE +/- 85.08, N = 3SE +/- 1277.85, N = 14SE +/- 328.88, N = 31023891075671058211. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Stress-NG

Test: Atomic

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicLinux 5.4Linux 5.8Linux 5.960K120K180K240K300KSE +/- 3268.99, N = 15SE +/- 3238.76, N = 15SE +/- 481.84, N = 3263212.73262238.70274452.481. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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

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 5.8Linux 5.93691215SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 311.4611.9311.67MIN: 11.3MIN: 11.66MIN: 11.441. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.92004006008001000SE +/- 11.67, N = 3SE +/- 3.48, N = 3SE +/- 2.19, N = 39539919871. (CXX) g++ options: -flto -pthread

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.960K120K180K240K300KSE +/- 101.17, N = 3SE +/- 225.71, N = 3SE +/- 69.44, N = 32507612605042599401. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NeatBench

Acceleration: CPU

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPULinux 5.4Linux 5.8Linux 5.93691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 310.410.810.8

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8Linux 5.930K60K90K120K150KSE +/- 103.41, N = 3SE +/- 63.52, N = 3SE +/- 34.95, N = 31256571303891301511. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

GLmark2

Resolution: 2560 x 1440

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440Linux 5.4Linux 5.8Linux 5.980160240320400349361362

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8Linux 5.911K22K33K44K55KSE +/- 17.36, N = 3SE +/- 24.10, N = 3SE +/- 15.95, N = 35129053188528201. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.8Linux 5.92004006008001000SE +/- 4.93, N = 3SE +/- 4.73, N = 38769079011. (CXX) g++ options: -flto -pthread

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

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

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

Java Gradle Build

Gradle Build: Reactor

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorLinux 5.4Linux 5.8Linux 5.94080120160200SE +/- 2.14, N = 12SE +/- 2.36, N = 12SE +/- 2.86, N = 12199.23193.06197.76

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

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteLinux 5.4Linux 5.8Linux 5.950100150200250SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.83, N = 3201.50207.37206.121. (CXX) g++ options: -O2 -lOpenCL

DaCapo Benchmark

Java Test: Jython

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonLinux 5.4Linux 5.8Linux 5.98001600240032004000SE +/- 45.57, N = 5SE +/- 28.79, N = 20SE +/- 40.45, N = 20353235213622

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

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

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

GLmark2

Resolution: 3840 x 2160

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160Linux 5.4Linux 5.8Linux 5.94080120160200157161161

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCLinux 5.4Linux 5.8Linux 5.90.19350.3870.58050.7740.9675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.840.860.86MIN: 0.81 / MAX: 0.86MIN: 0.82 / MAX: 0.87MIN: 0.83 / MAX: 0.87

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 5.4Linux 5.8Linux 5.9306090120150SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3150.37153.94153.91MIN: 112.18 / MAX: 157.9MIN: 129 / MAX: 157.9MIN: 123.87 / MAX: 157.91. mpv 0.32.0

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

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 5.4Linux 5.8Linux 5.948121620SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 316.3916.1916.02MIN: 15.71MIN: 15.69MIN: 15.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismLinux 5.4Linux 5.8Linux 5.90.21150.4230.63450.8461.0575SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.920.930.94MIN: 0.89 / MAX: 0.97MIN: 0.91 / MAX: 0.96MIN: 0.91 / MAX: 1.02

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4Linux 5.8Linux 5.90.71261.42522.13782.85043.563SE +/- 0.01880, N = 3SE +/- 0.02241, N = 3SE +/- 0.00339, N = 33.167023.139063.10076

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8Linux 5.91326395265SE +/- 0.38, N = 3SE +/- 0.35, N = 3SE +/- 0.69, N = 456.5455.3656.06

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.91.2152.433.6454.866.075SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 35.305.405.29MIN: 5.25 / MAX: 7.75MIN: 5.25 / MAX: 40.64MIN: 5.24 / MAX: 6.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.4Linux 5.8Linux 5.960K120K180K240K300KSE +/- 349.60, N = 3SE +/- 136.67, N = 3SE +/- 63.07, N = 32563472613232616261. (CXX) g++ options: -flto -pthread

Renaissance

Test: Scala Dotty

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Scala DottyLinux 5.4Linux 5.8Linux 5.930060090012001500SE +/- 13.80, N = 5SE +/- 8.98, N = 5SE +/- 15.02, N = 51525.661521.471552.34

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 5.8Linux 5.90.94671.89342.84013.78684.7335SE +/- 0.00371, N = 3SE +/- 0.01635, N = 3SE +/- 0.01366, N = 34.128004.207414.14533MIN: 4.07MIN: 4.13MIN: 4.081. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

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

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goLinux 5.4Linux 5.8Linux 5.950100150200250214210210

OpenCV

Test: Object Detection

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Object DetectionLinux 5.4Linux 5.8Linux 5.98K16K24K32K40KSE +/- 539.05, N = 15SE +/- 514.75, N = 4SE +/- 481.89, N = 43610435725354591. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8Linux 5.90.7831.5662.3493.1323.915SE +/- 0.03, N = 10SE +/- 0.04, N = 3SE +/- 0.05, N = 33.483.443.42

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 394.092.592.4

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 5.4Linux 5.8Linux 5.9510152025SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 321.7221.4821.37MIN: 21.5MIN: 21.34MIN: 21.221. (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

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

Sunflow Rendering System

Global Illumination + Image Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisLinux 5.4Linux 5.8Linux 5.90.44510.89021.33531.78042.2255SE +/- 0.003, N = 3SE +/- 0.018, N = 3SE +/- 0.010, N = 31.9481.9781.956MIN: 1.86 / MAX: 2.45MIN: 1.86 / MAX: 2.52MIN: 1.84 / MAX: 2.46

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 5.8Linux 5.90.68631.37262.05892.74523.4315SE +/- 0.00383, N = 3SE +/- 0.00143, N = 3SE +/- 0.00964, N = 33.005273.050353.01876MIN: 2.93MIN: 2.97MIN: 2.931. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Stress-NG

Test: Memory Copying

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingLinux 5.4Linux 5.8Linux 5.930060090012001500SE +/- 7.33, N = 3SE +/- 9.55, N = 3SE +/- 1.27, N = 31367.011370.241351.141. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.96001200180024003000SE +/- 12.61, N = 3SE +/- 5.30, N = 3SE +/- 6.91, N = 32694.912657.932663.59

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

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.90.3330.6660.9991.3321.665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.461.471.48

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

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileLinux 5.4Linux 5.8Linux 5.9306090120150151149150

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 5.4Linux 5.8Linux 5.9110220330440550SE +/- 0.50, N = 3SE +/- 2.50, N = 3SE +/- 5.06, N = 3482.65485.39479.08MIN: 480.58MIN: 480.32MIN: 469.421. (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

Stress-NG

Test: Glibc C String Functions

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String FunctionsLinux 5.4Linux 5.8Linux 5.9130K260K390K520K650KSE +/- 312.30, N = 3SE +/- 77.03, N = 3SE +/- 2693.27, N = 3605374.93612988.30609670.521. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateLinux 5.4Linux 5.8Linux 5.9918273645SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 340.640.140.4

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 5.4Linux 5.8Linux 5.91.29892.59783.89675.19566.4945SE +/- 0.06972, N = 3SE +/- 0.00567, N = 3SE +/- 0.00520, N = 35.772765.706895.70363MIN: 5.62MIN: 5.61MIN: 5.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibLinux 5.4Linux 5.8Linux 5.948121620SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 317.717.817.6

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.90.20250.4050.60750.811.0125SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.890.890.90

OpenCV

Test: Features 2D

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Features 2DLinux 5.4Linux 5.8Linux 5.930K60K90K120K150KSE +/- 1472.64, N = 6SE +/- 415.82, N = 3SE +/- 1357.42, N = 31322081307511313761. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

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

Stress-NG

Test: CPU Cache

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheLinux 5.4Linux 5.8Linux 5.9510152025SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 322.6422.5522.801. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.99001800270036004500SE +/- 10.14, N = 3SE +/- 20.80, N = 3SE +/- 1.73, N = 34399.204379.114354.59

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 5.4Linux 5.8Linux 5.9246810SE +/- 0.00427, N = 3SE +/- 0.02516, N = 3SE +/- 0.03872, N = 36.543846.541026.60699MIN: 6.29MIN: 6.33MIN: 6.41. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsLinux 5.4Linux 5.8Linux 5.9510152025SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 322.322.122.1

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 5.4Linux 5.8Linux 5.9246810SE +/- 0.02099, N = 3SE +/- 0.02286, N = 3SE +/- 0.07536, N = 38.181478.133438.20617MIN: 8.06MIN: 8.03MIN: 8.061. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4Linux 5.8Linux 5.96001200180024003000SE +/- 6.28, N = 3SE +/- 7.21, N = 3SE +/- 3.35, N = 32734.332710.492716.75

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreLinux 5.4Linux 5.8Linux 5.92004006008001000838831832

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.4Linux 5.8Linux 5.9100200300400500SE +/- 1.14, N = 3SE +/- 1.37, N = 3SE +/- 1.07, N = 3457.36453.97453.551. (CXX) g++ options: -O2 -lOpenCL

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 5.4Linux 5.8Linux 5.9918273645SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 337.1937.5037.48MIN: 36.15 / MAX: 37.98MIN: 36.81 / MAX: 38.22MIN: 36.59 / MAX: 38.221. mpv 0.32.0

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileLinux 5.4Linux 5.8Linux 5.94080120160200SE +/- 0.23, N = 3SE +/- 0.82, N = 3SE +/- 0.61, N = 3193.41195.01194.41

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.4Linux 5.8Linux 5.9130260390520650SE +/- 0.53, N = 3SE +/- 0.21, N = 3SE +/- 1.18, N = 3600.64605.08603.421. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

System GZIP Decompression

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4Linux 5.8Linux 5.90.65031.30061.95092.60123.2515SE +/- 0.040, N = 14SE +/- 0.045, N = 14SE +/- 0.034, N = 142.8902.8802.869

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.99001800270036004500SE +/- 6.10, N = 3SE +/- 11.71, N = 3SE +/- 4.29, N = 34345.924332.324314.69

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 5.4Linux 5.8Linux 5.9918273645SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 340.1940.0039.911. (CC) gcc options: -pthread -fvisibility=hidden -O2

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 5.8Linux 5.91.34192.68384.02575.36766.7095SE +/- 0.01148, N = 3SE +/- 0.00504, N = 3SE +/- 0.01836, N = 35.922715.963935.95687MIN: 5.88MIN: 5.91MIN: 5.871. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9510152025SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 320.5220.3820.46MIN: 20.33 / MAX: 23.11MIN: 20.3 / MAX: 21.63MIN: 20.3 / MAX: 29.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4Linux 5.8Linux 5.90.33750.6751.01251.351.6875SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.491.501.49

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9510152025SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 319.9819.8619.99MIN: 19.74 / MAX: 20.46MIN: 19.72 / MAX: 29.42MIN: 19.74 / MAX: 20.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 383.4982.9683.01MIN: 56.28 / MAX: 184.52MIN: 56.02 / MAX: 182.08MIN: 56.07 / MAX: 181.911. (CC) gcc options: -pthread

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

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileLinux 5.4Linux 5.8Linux 5.94080120160200SE +/- 0.55, N = 3SE +/- 0.73, N = 3SE +/- 0.83, N = 3159.96159.02160.02

Stress-NG

Test: Matrix Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathLinux 5.4Linux 5.8Linux 5.95K10K15K20K25KSE +/- 327.37, N = 3SE +/- 82.76, N = 3SE +/- 311.08, N = 323746.7323793.6023890.641. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.90.38250.7651.14751.531.9125SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.701.691.70MIN: 1.67 / MAX: 1.78MIN: 1.67 / MAX: 1.75MIN: 1.68 / MAX: 1.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.4Linux 5.8Linux 5.93691215SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 310.3810.3210.321. (CC) gcc options: -std=c99 -O3 -lm -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.4Linux 5.8Linux 5.9100200300400500SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3464.58461.89461.931. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

AI Benchmark Alpha

Device AI Score

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

Timed Apache Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileLinux 5.4Linux 5.8Linux 5.9612182430SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 326.6726.5226.54

Stress-NG

Test: CPU Stress

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressLinux 5.4Linux 5.8Linux 5.95001000150020002500SE +/- 12.25, N = 3SE +/- 22.94, N = 3SE +/- 17.12, N = 32253.832264.722251.991. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9612182430SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 323.7523.6223.62MIN: 23.6 / MAX: 33.68MIN: 23.54 / MAX: 25.8MIN: 23.49 / MAX: 25.451. (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

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.4Linux 5.8Linux 5.9110220330440550SE +/- 0.10, N = 3SE +/- 1.07, N = 3SE +/- 0.17, N = 3484.98487.42485.031. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceLinux 5.4Linux 5.8Linux 5.990180270360450SE +/- 0.33, N = 3SE +/- 0.67, N = 3400399401

Renaissance

Test: Akka Unbalanced Cobwebbed Tree

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeLinux 5.4Linux 5.8Linux 5.916003200480064008000SE +/- 102.37, N = 5SE +/- 52.14, N = 5SE +/- 86.44, N = 57673.097656.807634.87

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 5.4Linux 5.8Linux 5.920406080100SE +/- 0.04, N = 3SE +/- 0.24, N = 3SE +/- 0.22, N = 398.3798.0798.55MIN: 96.72MIN: 96.88MIN: 96.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

AI Benchmark Alpha

Device Training Score

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

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.10, N = 3SE +/- 0.23, N = 3SE +/- 0.24, N = 387.8887.5287.901. (CXX) g++ options: -O3 -fPIC

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pLinux 5.4Linux 5.8Linux 5.980160240320400SE +/- 0.88, N = 3SE +/- 0.71, N = 3SE +/- 0.04, N = 3360.91361.03359.55MIN: 320.03 / MAX: 393.23MIN: 332.7 / MAX: 396.62MIN: 326.04 / MAX: 3931. (CC) gcc options: -pthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9816243240SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 332.6632.5332.59MIN: 32.51 / MAX: 34.05MIN: 32.45 / MAX: 35.73MIN: 32.47 / MAX: 34.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

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 5.4Linux 5.8Linux 5.98001600240032004000SE +/- 8.81, N = 3SE +/- 10.34, N = 3SE +/- 2.42, N = 33700.083697.193711.83

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

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pLinux 5.4Linux 5.8Linux 5.980160240320400SE +/- 0.68, N = 3SE +/- 0.78, N = 3SE +/- 0.51, N = 3389.16389.39390.64MIN: 283.33 / MAX: 628.16MIN: 284.04 / MAX: 622.86MIN: 284.57 / MAX: 621.431. (CC) gcc options: -pthread

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.4Linux 5.8Linux 5.910M20M30M40M50MSE +/- 148494.90, N = 3SE +/- 52622.62, N = 3SE +/- 129412.59, N = 344618964.444673416.744505024.9

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricLinux 5.4Linux 5.8Linux 5.913K26K39K52K65K6183661606616631. (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

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

PyPerformance

Benchmark: 2to3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Linux 5.4Linux 5.8Linux 5.960120180240300279278278

Stress-NG

Test: Malloc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocLinux 5.4Linux 5.8Linux 5.97M14M21M28M35MSE +/- 18293.92, N = 3SE +/- 53114.71, N = 3SE +/- 37067.76, N = 330826272.7030773901.0030880073.581. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.4Linux 5.8Linux 5.948121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 316.7416.6816.741. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 390.289.990.2

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

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 5.4Linux 5.8Linux 5.9300K600K900K1200K1500KSE +/- 1080.06, N = 3SE +/- 1296.96, N = 3SE +/- 1603.00, N = 31250226.31254110.11252051.7

Tesseract OCR

Time To OCR 7 Images

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesLinux 5.4Linux 5.8Linux 5.9510152025SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 322.6222.6922.66

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

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

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.8Linux 5.9816243240SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 333.6233.5233.571. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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 5.4Linux 5.8Linux 5.9300K600K900K1200K1500KSE +/- 588.19, N = 3SE +/- 4430.10, N = 3SE +/- 1100.56, N = 31239227.01239154.61242649.2

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.948121620SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 318.1418.1518.10MIN: 18.03 / MAX: 20.15MIN: 17.99 / MAX: 20.22MIN: 17.98 / MAX: 20.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.4Linux 5.8Linux 5.91326395265SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 357.9257.7757.841. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverLinux 5.4Linux 5.8Linux 5.9918273645SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 338.7738.6838.721. (CXX) g++ options: -O2 -lOpenCL

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9246810SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 38.588.568.56MIN: 8.49 / MAX: 21.34MIN: 8.5 / MAX: 9.18MIN: 8.49 / MAX: 9.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumLinux 5.4Linux 5.8Linux 5.93691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.978.958.961. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.05, N = 3SE +/- 0.27, N = 3SE +/- 0.22, N = 399.79100.0199.891. (CXX) g++ options: -O2 -lOpenCL

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 5.4Linux 5.8Linux 5.9918273645SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 339.0038.9238.931. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9510152025SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 318.8118.8518.81MIN: 18.71 / MAX: 19.31MIN: 18.69 / MAX: 20.88MIN: 18.71 / MAX: 20.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8Linux 5.9612182430SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 323.6523.6023.62

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

Stress-NG

Test: Vector Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathLinux 5.4Linux 5.8Linux 5.97K14K21K28K35KSE +/- 0.45, N = 3SE +/- 1.65, N = 3SE +/- 73.83, N = 334720.0834720.2934648.211. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.8Linux 5.970140210280350SE +/- 0.37, N = 3SE +/- 1.05, N = 3SE +/- 0.41, N = 3308.55308.57307.95MIN: 307.18 / MAX: 309.84MIN: 306.49 / MAX: 311.86MIN: 306.42 / MAX: 312.631. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterLinux 5.4Linux 5.8Linux 5.9510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 321.3321.2921.291. (CXX) g++ options: -O2 -lOpenCL

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9918273645SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 337.5237.4937.55MIN: 37.36 / MAX: 62.22MIN: 37.36 / MAX: 40.61MIN: 37.36 / MAX: 52.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4Linux 5.8Linux 5.920406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3102.55102.46102.401. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPULinux 5.4Linux 5.8Linux 5.917003400510068008500SE +/- 14.44, N = 3SE +/- 5.67, N = 3SE +/- 25.64, N = 3771077087718

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.4Linux 5.8Linux 5.90.52851.0571.58552.1142.6425SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 32.3482.3462.3491. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.4Linux 5.8Linux 5.990K180K270K360K450KSE +/- 163.48, N = 3SE +/- 21.36, N = 3SE +/- 34.51, N = 3399233398809398749

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

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 5.4Linux 5.8Linux 5.9246810SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 37.0157.0177.0091. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Stress-NG

Test: Crypto

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoLinux 5.4Linux 5.8Linux 5.92004006008001000SE +/- 1.00, N = 3SE +/- 0.71, N = 3SE +/- 0.24, N = 3978.39978.23979.171. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4Linux 5.8Linux 5.90.33730.67461.01191.34921.6865SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.4991.4981.4981. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.4Linux 5.8Linux 5.9612182430SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 324.0824.0724.071. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8Linux 5.960120180240300SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3297.61297.51297.52MIN: 297.15 / MAX: 298.48MIN: 297.11 / MAX: 297.95MIN: 297.06 / MAX: 298.411. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.4Linux 5.8Linux 5.91.1M2.2M3.3M4.4M5.5MSE +/- 294.86, N = 3SE +/- 1330.61, N = 3SE +/- 317.51, N = 3520144352028105201097

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.8Linux 5.960K120K180K240K300KSE +/- 6.12, N = 3SE +/- 15.28, N = 3SE +/- 47.69, N = 3270813270791270872

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.8Linux 5.960K120K180K240K300KSE +/- 56.15, N = 3SE +/- 33.14, N = 3SE +/- 39.95, N = 3292827292887292836

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.4Linux 5.8Linux 5.91.2M2.4M3.6M4.8M6MSE +/- 1685.06, N = 3SE +/- 51.32, N = 3SE +/- 610.31, N = 3574956057489105748433

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

PyPerformance

Benchmark: nbody

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

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

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

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

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.4Linux 5.8Linux 5.96121824302323231. (CC) gcc options: -O3 -pthread -lz -llzma

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

OpenCV

Test: DNN - Deep Neural Network

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkLinux 5.4Linux 5.8Linux 5.96K12K18K24K30KSE +/- 8295.57, N = 15SE +/- 71.34, N = 3SE +/- 179.08, N = 32823217775178331. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.4Linux 5.8Linux 5.92M4M6M8M10MSE +/- 5698.82, N = 3SE +/- 475554.05, N = 9SE +/- 124576.41, N = 32892974672941787284631. (CXX) g++ options: -O3 -fopenmp

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9246810SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 36.192.422.25MIN: 5.97 / MAX: 6.61MIN: 2.11 / MAX: 2.83MIN: 2.06 / MAX: 2.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Stress-NG

Test: System V Message Passing

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message PassingLinux 5.4Linux 5.8Linux 5.91000K2000K3000K4000K5000KSE +/- 144575.68, N = 15SE +/- 6757.38, N = 3SE +/- 6099.30, N = 34624409.894899988.404608826.621. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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 5.4Linux 5.8Linux 5.92004006008001000SE +/- 2.01, N = 3SE +/- 15.95, N = 15SE +/- 0.69, N = 3797.68776.82798.881. (CXX) g++ options: -O3 -std=c++11 -fopenmp

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4Linux 5.8Linux 5.90.14040.28080.42120.56160.702SE +/- 0.020, N = 9SE +/- 0.001, N = 3SE +/- 0.003, N = 30.5860.6190.6241. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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: Apache Spark Bayes

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark BayesLinux 5.4Linux 5.8Linux 5.96001200180024003000SE +/- 58.62, N = 25SE +/- 55.26, N = 25SE +/- 57.81, N = 252928.272845.832863.14

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: Random Forest

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestLinux 5.4Linux 5.8Linux 5.9400800120016002000SE +/- 20.88, N = 5SE +/- 24.52, N = 25SE +/- 18.08, N = 251611.401712.831685.93

DaCapo Benchmark

Java Test: H2

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Linux 5.4Linux 5.8Linux 5.96001200180024003000SE +/- 33.70, N = 4SE +/- 47.98, N = 20SE +/- 51.89, N = 20295529282935

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

Phoronix Test Suite v10.8.5