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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009295-PTS-8565UMON93
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Bioinformatics 2 Tests
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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

123Result OverviewPhoronix Test Suite 10.2.2100%102%105%107%FFTELeelaChessZeroApache CouchDBTimed MAFFT AlignmentTimed HMMer SearchDolfynGROMACSRealSR-NCNNMlpack BenchmarkCaffeTNNHierarchical INTegrationBYTE Unix BenchmarkNCNN

8565U Mondayrealsr-ncnn: 4x - Nolczero: BLASlczero: Eigenlczero: Randdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbyte: Dhrystone 2couchdb: 100 - 1000 - 24gromacs: Water Benchmarkcaffe: 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 v1.1hint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregression12316.82740239316255819.86414955.245278133115.82814.22741388503.2219.5970.35010464920937025823651626333.7739.889.668.756.449.3014.423.0131.98112.2529.9132.3758.2052.38113.17109.7939.9844.1627.2741.0579.437.24100.19264.9193.52111.97145.94152.72354.311321.297413697236.17006105.60128.6327.014.9116.86137535915557420.43913669.482756807119.81715.01341285586.6232.5830.34910416021039425982351712533.6839.889.678.746.459.3014.483.0232.05112.7430.1332.5658.0752.34113.23109.9539.6943.7727.2241.1180.517.2699.97266.3993.48110.69146.21152.19354.240321.592413895480.89544102.04130.8926.855.1217.01037635815511620.76013988.362401492121.43014.90241275405.5235.2730.34610486221010125899351995333.7039.969.658.726.509.2714.342.9732.04112.2629.9231.7058.2252.39112.73109.7539.5344.1226.9541.0180.437.2699.97264.4993.58111.37145.98152.35358.291321.335415027165.81048102.85129.8226.775.11OpenBenchmarking.org

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No12348121620Min: 16.51 / Avg: 16.83 / Max: 17.01Min: 16.62 / Avg: 16.86 / Max: 17Min: 16.89 / Avg: 17.01 / Max: 17.22

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS12370140210280350Min: 377 / Avg: 401.86 / Max: 414Min: 359 / Avg: 374.5 / Max: 388Min: 372 / Avg: 376.33 / Max: 3791. (CXX) g++ options: -flto -pthread

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
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen12370140210280350Min: 391 / Avg: 393 / Max: 395Min: 351 / Avg: 358.67 / Max: 368Min: 355 / Avg: 358 / Max: 3631. (CXX) g++ options: -flto -pthread

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
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random12330K60K90K120K150KMin: 162248 / Avg: 162558 / Max: 162908Min: 155134 / Avg: 155574.33 / Max: 155813Min: 154628 / Avg: 155115.67 / Max: 1557901. (CXX) g++ options: -flto -pthread

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.13, N = 319.8620.4420.76
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025Min: 19.81 / Avg: 19.86 / Max: 19.97Min: 19.86 / Avg: 20.44 / Max: 20.75Min: 20.51 / Avg: 20.76 / Max: 20.96

FFTE

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
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1233K6K9K12K15KMin: 14341.48 / Avg: 14955.25 / Max: 19769.34Min: 13144.45 / Avg: 13669.48 / Max: 19497.39Min: 13401.64 / Avg: 13988.36 / Max: 19256.921. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 115.44 / Avg: 115.83 / Max: 116.06Min: 119.17 / Avg: 119.82 / Max: 120.2Min: 120.52 / Avg: 121.43 / Max: 123.221. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620Min: 13.68 / Avg: 14.23 / Max: 14.6Min: 14.2 / Avg: 15.01 / Max: 15.34Min: 14.24 / Avg: 14.9 / Max: 15.271. (CC) gcc options: -std=c99 -O3 -lm -lpthread

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21237M14M21M28M35MMin: 41167270 / Avg: 41388503.17 / Max: 41661113.4Min: 41144812.3 / Avg: 41285586.6 / Max: 41524722.5Min: 41126355.2 / Avg: 41275405.53 / Max: 41491400.2

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 241234080120160200Min: 217.04 / Avg: 219.6 / Max: 223.05Min: 229.47 / Avg: 232.58 / Max: 235.9Min: 233.31 / Avg: 235.27 / Max: 238.311. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark12312345Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.34 / Avg: 0.35 / Max: 0.351. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10012320K40K60K80K100KMin: 103210 / Avg: 104648.67 / Max: 106339Min: 103519 / Avg: 104159.67 / Max: 104947Min: 103857 / Avg: 104862.33 / Max: 1054421. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012340K80K120K160K200KMin: 209038 / Avg: 209370.33 / Max: 209582Min: 209447 / Avg: 210394.33 / Max: 211114Min: 209578 / Avg: 210100.67 / Max: 2105761. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012350K100K150K200K250KMin: 256857 / Avg: 258235.67 / Max: 259306Min: 257495 / Avg: 259823.33 / Max: 263504Min: 258193 / Avg: 258993 / Max: 2594571. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012390K180K270K360K450KMin: 514772 / Avg: 516263 / Max: 518755Min: 516883 / Avg: 517124.67 / Max: 517281Min: 516600 / Avg: 519953.33 / Max: 5233001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123714212835Min: 33.6 / Avg: 33.77 / Max: 33.88Min: 33.52 / Avg: 33.68 / Max: 33.79Min: 33.5 / Avg: 33.7 / Max: 34.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123816243240Min: 39.74 / Avg: 39.88 / Max: 39.98Min: 39.7 / Avg: 39.88 / Max: 40Min: 39.73 / Avg: 39.96 / Max: 40.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 7.83 / Avg: 9.66 / Max: 10.64Min: 7.71 / Avg: 9.67 / Max: 10.65Min: 7.74 / Avg: 9.65 / Max: 10.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31233691215Min: 8.74 / Avg: 8.75 / Max: 8.77Min: 8.63 / Avg: 8.74 / Max: 8.82Min: 8.53 / Avg: 8.72 / Max: 8.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21233691215Min: 6.43 / Avg: 6.44 / Max: 6.47Min: 6.43 / Avg: 6.45 / Max: 6.47Min: 6.47 / Avg: 6.5 / Max: 6.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1233691215Min: 9.26 / Avg: 9.3 / Max: 9.33Min: 9.24 / Avg: 9.3 / Max: 9.34Min: 9.25 / Avg: 9.27 / Max: 9.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b012348121620Min: 14.28 / Avg: 14.42 / Max: 14.5Min: 14.38 / Avg: 14.48 / Max: 14.59Min: 14.28 / Avg: 14.34 / Max: 14.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 2.97 / Avg: 3.01 / Max: 3.04Min: 2.96 / Avg: 3.02 / Max: 3.07Min: 2.95 / Avg: 2.97 / Max: 2.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123714212835Min: 31.91 / Avg: 31.98 / Max: 32.03Min: 32 / Avg: 32.05 / Max: 32.16Min: 31.97 / Avg: 32.04 / Max: 32.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612320406080100Min: 111.99 / Avg: 112.25 / Max: 112.38Min: 112.65 / Avg: 112.74 / Max: 112.88Min: 112.02 / Avg: 112.26 / Max: 112.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123714212835Min: 29.9 / Avg: 29.91 / Max: 29.93Min: 29.8 / Avg: 30.13 / Max: 30.71Min: 29.88 / Avg: 29.92 / Max: 29.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123714212835Min: 31.56 / Avg: 32.37 / Max: 32.78Min: 31.3 / Avg: 32.56 / Max: 33.2Min: 31.46 / Avg: 31.7 / Max: 31.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231224364860Min: 58.05 / Avg: 58.2 / Max: 58.33Min: 58.03 / Avg: 58.07 / Max: 58.11Min: 58.19 / Avg: 58.22 / Max: 58.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1231020304050Min: 52.26 / Avg: 52.38 / Max: 52.46Min: 52.13 / Avg: 52.34 / Max: 52.5Min: 52.27 / Avg: 52.39 / Max: 52.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet12320406080100Min: 113.17 / Avg: 113.17 / Max: 113.18Min: 113.16 / Avg: 113.23 / Max: 113.36Min: 111.9 / Avg: 112.73 / Max: 113.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet12320406080100Min: 109.76 / Avg: 109.79 / Max: 109.84Min: 109.73 / Avg: 109.95 / Max: 110.17Min: 109.56 / Avg: 109.75 / Max: 110.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2123816243240Min: 39.26 / Avg: 39.98 / Max: 40.63Min: 39.57 / Avg: 39.69 / Max: 39.8Min: 39.22 / Avg: 39.53 / Max: 39.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3123918273645Min: 44.06 / Avg: 44.16 / Max: 44.25Min: 43.06 / Avg: 43.77 / Max: 44.14Min: 44.1 / Avg: 44.12 / Max: 44.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2123612182430Min: 27.23 / Avg: 27.27 / Max: 27.29Min: 27.2 / Avg: 27.22 / Max: 27.24Min: 26.35 / Avg: 26.95 / Max: 27.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet123918273645Min: 40.93 / Avg: 41.05 / Max: 41.23Min: 40.87 / Avg: 41.11 / Max: 41.29Min: 40.94 / Avg: 41.01 / Max: 41.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b01231530456075Min: 77.12 / Avg: 79.43 / Max: 80.63Min: 80.44 / Avg: 80.51 / Max: 80.59Min: 80.14 / Avg: 80.43 / Max: 80.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1233691215Min: 7.22 / Avg: 7.24 / Max: 7.26Min: 7.24 / Avg: 7.26 / Max: 7.29Min: 7.22 / Avg: 7.26 / Max: 7.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet12320406080100Min: 100.17 / Avg: 100.19 / Max: 100.21Min: 99.9 / Avg: 99.97 / Max: 100.09Min: 99.62 / Avg: 99.97 / Max: 100.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1612350100150200250Min: 263.88 / Avg: 264.91 / Max: 265.62Min: 262.19 / Avg: 266.39 / Max: 273.37Min: 261.12 / Avg: 264.49 / Max: 267.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet1812320406080100Min: 93.45 / Avg: 93.52 / Max: 93.58Min: 93.35 / Avg: 93.48 / Max: 93.6Min: 93.48 / Avg: 93.58 / Max: 93.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet12320406080100Min: 111.43 / Avg: 111.97 / Max: 112.49Min: 109.51 / Avg: 110.69 / Max: 111.88Min: 111.18 / Avg: 111.37 / Max: 111.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50123306090120150Min: 145.58 / Avg: 145.94 / Max: 146.24Min: 146.19 / Avg: 146.21 / Max: 146.23Min: 145.8 / Avg: 145.98 / Max: 146.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny123306090120150Min: 152.63 / Avg: 152.72 / Max: 152.82Min: 152.09 / Avg: 152.19 / Max: 152.31Min: 152.29 / Avg: 152.35 / Max: 152.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 337.58 / Avg: 354.31 / Max: 365.32Min: 337.74 / Avg: 354.24 / Max: 362.5Min: 337.33 / Avg: 358.29 / Max: 368.251. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300Min: 321.16 / Avg: 321.3 / Max: 321.37Min: 321.4 / Avg: 321.59 / Max: 321.82Min: 321.18 / Avg: 321.34 / Max: 321.581. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12370M140M210M280M350MMin: 412628032.75 / Avg: 413697236.17 / Max: 414295334.48Min: 412974884.45 / Avg: 413895480.9 / Max: 414942122.97Min: 414419449.1 / Avg: 415027165.81 / Max: 415976884.531. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica12320406080100SE +/- 0.48, N = 3SE +/- 0.52, N = 3SE +/- 1.53, N = 3105.60102.04102.85
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica12320406080100Min: 105.11 / Avg: 105.6 / Max: 106.56Min: 101.38 / Avg: 102.04 / Max: 103.07Min: 99.93 / Avg: 102.85 / Max: 105.13

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda123306090120150SE +/- 0.32, N = 3SE +/- 1.23, N = 12SE +/- 0.33, N = 3128.63130.89129.82
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda12320406080100Min: 128.14 / Avg: 128.63 / Max: 129.23Min: 128.72 / Avg: 130.89 / Max: 144.15Min: 129.21 / Avg: 129.82 / Max: 130.36

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123612182430SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 327.0126.8526.77
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123612182430Min: 26.91 / Avg: 27.01 / Max: 27.18Min: 26.78 / Avg: 26.85 / Max: 26.95Min: 26.72 / Avg: 26.77 / Max: 26.81

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
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression123246810Min: 4.76 / Avg: 4.91 / Max: 5.05Min: 4.81 / Avg: 5.12 / Max: 5.42Min: 4.66 / Avg: 5.11 / Max: 5.48


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