8565U Monday

Intel Core i7-8565U testing with a Dell 0KTW76 (1.0.0 BIOS) and Intel UHD 620 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009295-PTS-8565UMON93&gru.

8565U MondayProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)Dell 0KTW76 (1.0.0 BIOS)Intel Cannon Point-LP16GBPC401 NVMe SK hynix 256GBIntel UHD 620 3GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11acUbuntu 20.045.4.0-48-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.11.2.131GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --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 Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6Python Details- Python 3.8.2Security Details- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Not affected + 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: Not affected

8565U Mondaybyte: Dhrystone 2ffte: N=256, 3D Complex FFT Routinelczero: BLASlczero: Eigenlczero: Randgromacs: Water Benchmarkhint: FLOATcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200ncnn: 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 v1.1realsr-ncnn: 4x - Nodolfyn: Computational Fluid Dynamicshmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAcouchdb: 100 - 1000 - 24mlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregression12341388503.214955.2452781334023931625580.350413697236.1700610464920937025823651626333.7739.889.668.756.449.3014.423.0131.98112.2529.9132.3758.2052.38113.17109.7939.9844.1627.2741.0579.437.24100.19264.9193.52111.97145.94152.72354.311321.29716.82719.864115.82814.227219.597105.60128.6327.014.9141285586.613669.4827568073753591555740.349413895480.8954410416021039425982351712533.6839.889.678.746.459.3014.483.0232.05112.7430.1332.5658.0752.34113.23109.9539.6943.7727.2241.1180.517.2699.97266.3993.48110.69146.21152.19354.240321.59216.86120.439119.81715.013232.583102.04130.8926.855.1241275405.513988.3624014923763581551160.346415027165.8104810486221010125899351995333.7039.969.658.726.509.2714.342.9732.04112.2629.9231.7058.2252.39112.73109.7539.5344.1226.9541.0180.437.2699.97264.4993.58111.37145.98152.35358.291321.33517.01020.760121.43014.902235.273102.85129.8226.775.11OpenBenchmarking.org

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21239M18M27M36M45MSE +/- 144856.28, N = 3SE +/- 120193.17, N = 3SE +/- 110567.66, N = 341388503.241285586.641275405.5

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1233K6K9K12K15KSE +/- 374.98, N = 15SE +/- 416.61, N = 15SE +/- 389.74, N = 1514955.2513669.4813988.361. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS12390180270360450SE +/- 4.40, N = 7SE +/- 4.55, N = 6SE +/- 2.19, N = 34023753761. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen12390180270360450SE +/- 1.15, N = 3SE +/- 4.98, N = 3SE +/- 2.52, N = 33933593581. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random12330K60K90K120K150KSE +/- 191.57, N = 3SE +/- 220.43, N = 3SE +/- 348.18, N = 31625581555741551161. (CXX) g++ options: -flto -pthread

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.07880.15760.23640.31520.394SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.3500.3490.3461. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12390M180M270M360M450MSE +/- 535857.19, N = 3SE +/- 571379.17, N = 3SE +/- 481014.66, N = 3413697236.17413895480.90415027165.811. (CC) gcc options: -O3 -march=native -lm

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10012320K40K60K80K100KSE +/- 911.99, N = 3SE +/- 418.70, N = 3SE +/- 504.63, N = 31046491041601048621. (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: 20012350K100K150K200K250KSE +/- 168.23, N = 3SE +/- 494.50, N = 3SE +/- 289.07, N = 32093702103942101011. (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: 10012360K120K180K240K300KSE +/- 723.58, N = 3SE +/- 1861.78, N = 3SE +/- 401.70, N = 32582362598232589931. (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: 200123110K220K330K440K550KSE +/- 1254.00, N = 3SE +/- 122.56, N = 3SE +/- 1934.13, N = 35162635171255199531. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123816243240SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 333.7733.6833.70MIN: 32.55 / MAX: 49.1MIN: 32.44 / MAX: 38.42MIN: 32.91 / MAX: 50.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123918273645SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.22, N = 339.8839.8839.96MIN: 38.48 / MAX: 56.21MIN: 38.54 / MAX: 60.99MIN: 38.62 / MAX: 57.581. (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-v21233691215SE +/- 0.92, N = 3SE +/- 0.98, N = 3SE +/- 0.96, N = 39.669.679.65MIN: 7.51 / MAX: 15.29MIN: 7.44 / MAX: 15.12MIN: 7.53 / MAX: 29.91. (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-v3123246810SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 38.758.748.72MIN: 7.78 / MAX: 24.03MIN: 7.07 / MAX: 25.14MIN: 7.05 / MAX: 13.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.446.456.50MIN: 6.35 / MAX: 11.01MIN: 6.35 / MAX: 11.05MIN: 6.35 / MAX: 20.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1233691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 39.309.309.27MIN: 8.92 / MAX: 13.87MIN: 8.84 / MAX: 14.35MIN: 8.85 / MAX: 13.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b012348121620SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 314.4214.4814.34MIN: 13.92 / MAX: 19.14MIN: 13.9 / MAX: 32.08MIN: 14.12 / MAX: 32.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.67951.3592.03852.7183.3975SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 33.013.022.97MIN: 2.77 / MAX: 6.88MIN: 2.79 / MAX: 7.55MIN: 2.77 / MAX: 6.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123714212835SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 331.9832.0532.04MIN: 30.35 / MAX: 37.74MIN: 30.26 / MAX: 49.18MIN: 30.31 / MAX: 52.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16123306090120150SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3112.25112.74112.26MIN: 110.69 / MAX: 136.47MIN: 110.79 / MAX: 135.36MIN: 110.23 / MAX: 135.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123714212835SE +/- 0.01, N = 3SE +/- 0.29, N = 3SE +/- 0.04, N = 329.9130.1329.92MIN: 27.51 / MAX: 48.14MIN: 27.34 / MAX: 47.3MIN: 27.37 / MAX: 47.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123816243240SE +/- 0.40, N = 3SE +/- 0.63, N = 3SE +/- 0.15, N = 332.3732.5631.70MIN: 29.45 / MAX: 40.61MIN: 28.88 / MAX: 49.52MIN: 24.92 / MAX: 66.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231326395265SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 358.2058.0758.22MIN: 50.41 / MAX: 73.95MIN: 50.39 / MAX: 80.94MIN: 49.31 / MAX: 84.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1231224364860SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 352.3852.3452.39MIN: 50.66 / MAX: 70.3MIN: 50.48 / MAX: 69.03MIN: 50.54 / MAX: 70.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet123306090120150SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.42, N = 3113.17113.23112.73MIN: 77.63 / MAX: 142.17MIN: 78.34 / MAX: 131.33MIN: 47.2 / MAX: 122.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet12320406080100SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3109.79109.95109.75MIN: 82.84 / MAX: 143.69MIN: 81.69 / MAX: 140.69MIN: 80.74 / MAX: 114.881. (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-v2123918273645SE +/- 0.40, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 339.9839.6939.53MIN: 37.94 / MAX: 41.57MIN: 37.31 / MAX: 41.35MIN: 37.9 / MAX: 41.141. (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-v31231020304050SE +/- 0.06, N = 3SE +/- 0.35, N = 3SE +/- 0.01, N = 344.1643.7744.12MIN: 41.14 / MAX: 45.1MIN: 13.11 / MAX: 44.95MIN: 37.44 / MAX: 46.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2123612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.30, N = 327.2727.2226.95MIN: 26.82 / MAX: 27.67MIN: 25.25 / MAX: 27.65MIN: 8.15 / MAX: 27.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet123918273645SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 341.0541.1141.01MIN: 39.15 / MAX: 42.78MIN: 39.17 / MAX: 42.58MIN: 37.91 / MAX: 42.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b012320406080100SE +/- 1.16, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 379.4380.5180.43MIN: 25.06 / MAX: 82.26MIN: 63.31 / MAX: 82.32MIN: 32.99 / MAX: 82.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.247.267.26MIN: 6.92 / MAX: 7.74MIN: 6.96 / MAX: 7.68MIN: 6.93 / MAX: 7.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet12320406080100SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3100.1999.9799.97MIN: 91.26 / MAX: 104.58MIN: 52.87 / MAX: 103.44MIN: 50.54 / MAX: 104.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1612360120180240300SE +/- 0.53, N = 3SE +/- 3.51, N = 3SE +/- 1.79, N = 3264.91266.39264.49MIN: 200.25 / MAX: 278.56MIN: 226.52 / MAX: 278MIN: 245.81 / MAX: 277.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet1812320406080100SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 393.5293.4893.58MIN: 63.85 / MAX: 96.7MIN: 63.46 / MAX: 96.79MIN: 68.4 / MAX: 96.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet123306090120150SE +/- 0.31, N = 3SE +/- 0.68, N = 3SE +/- 0.15, N = 3111.97110.69111.37MIN: 49.79 / MAX: 119.56MIN: 46.21 / MAX: 124.73MIN: 83.8 / MAX: 119.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50123306090120150SE +/- 0.19, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3145.94146.21145.98MIN: 71.98 / MAX: 150.92MIN: 134.59 / MAX: 150.77MIN: 102.95 / MAX: 150.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny123306090120150SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3152.72152.19152.35MIN: 143.57 / MAX: 188.32MIN: 105.13 / MAX: 163.85MIN: 113.42 / MAX: 185.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212380160240320400SE +/- 4.28, N = 6SE +/- 3.97, N = 7SE +/- 3.08, N = 11354.31354.24358.29MIN: 336.38 / MAX: 421.59MIN: 336.42 / MAX: 379.51MIN: 335.91 / MAX: 398.131. (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 v1.112370140210280350SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3321.30321.59321.34MIN: 320.64 / MAX: 322.9MIN: 320.33 / MAX: 326.07MIN: 320.34 / MAX: 324.071. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No12348121620SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 316.8316.8617.01

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.13, N = 319.8620.4420.76

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.20, N = 3SE +/- 0.33, N = 3SE +/- 0.89, N = 3115.83119.82121.431. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620SE +/- 0.20, N = 4SE +/- 0.17, N = 6SE +/- 0.18, N = 514.2315.0114.901. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 2412350100150200250SE +/- 1.79, N = 3SE +/- 1.86, N = 3SE +/- 1.54, N = 3219.60232.58235.271. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica12320406080100SE +/- 0.48, N = 3SE +/- 0.52, N = 3SE +/- 1.53, N = 3105.60102.04102.85

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda123306090120150SE +/- 0.32, N = 3SE +/- 1.23, N = 12SE +/- 0.33, N = 3128.63130.89129.82

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123612182430SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 327.0126.8526.77

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1231.1522.3043.4564.6085.76SE +/- 0.08, N = 3SE +/- 0.05, N = 15SE +/- 0.07, N = 154.915.125.11

Phoronix Test Suite v10.8.4