machine_learning_test

Nano_machine_learning_test_result

HTML result view exported from: https://openbenchmarking.org/result/2307255-NE-MACHINELE43&grs.

machine_learning_testProcessorMotherboardMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolutionmachine_learning_test_resultARMv8 Cortex-A78E @ 1.51GHz (6 Cores)EDK II 3.1-328277478GB256GB TEAM Ind N745-M80WNVIDIA Tegra OrinBenQ GW2381Realtek RTL8111/8168/8411 + Realtek RTL8822CE 802.11ac PCIeUbuntu 20.045.10.104-tegra (aarch64)GNOME Shell 3.36.9X Server 1.20.13NVIDIA 35.3.14.6.01.3.212GCC 9.4.0 + CUDA 11.4ext41920x1200OpenBenchmarking.org- Transparent Huge Pages: always- --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto -v - Scaling Governor: tegra194 schedutil- Python 2.7.18 + Python 3.8.10- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

machine_learning_testscikit-learn: LocalOutlierFactorscikit-learn: Feature Expansionsscikit-learn: Plot OMP vs. LARSscikit-learn: Plot Hierarchicalscikit-learn: Text Vectorizersscikit-learn: Plot Lasso Pathscikit-learn: SGD Regressionscikit-learn: Plot Neighborsscikit-learn: MNIST Datasetscikit-learn: Plot Wardscikit-learn: Sparsifyscikit-learn: Lassoscikit-learn: Treescikit-learn: SAGAscikit-learn: GLMnumenta-nab: Contextual Anomaly Detector OSEnumenta-nab: Bayesian Changepointnumenta-nab: Earthgecko Skylinenumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: KNN CADtnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2tnn: CPU - MobileNet v2tnn: CPU - DenseNetncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3mnn: nasnettensorflow-lite: Inception ResNet V2tensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floattensorflow-lite: NASNet Mobiletensorflow-lite: Inception V4tensorflow-lite: SqueezeNetrnnoise: rbenchmark: numpy: lczero: BLASopencv: DNN - Deep Neural Networkscikit-learn: TSNE MNIST Datasetncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - mobilenetonednn: IP Shapes 1D - f32 - CPUmachine_learning_test_result272.750347.101159.485473.073206.412589.354181.386687.955205.606156.972183.637793.006181.6622449.3841051.972260.818210.464550.59138.46792.502739.301483.095132.243544.1287490.1764.86935.566.2923.219.679.0319.348.212.938.615.104.085.57805.5312.8317.4429.4931.6015.4013.4761.6517.862.369.715.504.965.636.1020.1084.63411.6667.83712.85866.2657.3113.10126.4421874305186.4310162.530199.920503014679.236.7490.3711165.052532847151313.49213.415.584.445.2713.39OpenBenchmarking.org

Scikit-Learn

Benchmark: LocalOutlierFactor

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: LocalOutlierFactormachine_learning_test_result60120180240300SE +/- 0.81, N = 3272.751. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Feature Expansions

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Feature Expansionsmachine_learning_test_result80160240320400SE +/- 0.16, N = 3347.101. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot OMP vs. LARS

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot OMP vs. LARSmachine_learning_test_result4080120160200SE +/- 0.44, N = 3159.491. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Hierarchical

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Hierarchicalmachine_learning_test_result100200300400500SE +/- 0.71, N = 3473.071. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Text Vectorizers

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Text Vectorizersmachine_learning_test_result50100150200250SE +/- 0.43, N = 3206.411. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Lasso Path

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Lasso Pathmachine_learning_test_result130260390520650SE +/- 7.20, N = 4589.351. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: SGD Regression

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGD Regressionmachine_learning_test_result4080120160200SE +/- 0.91, N = 3181.391. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Neighbors

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Neighborsmachine_learning_test_result150300450600750SE +/- 6.64, N = 3687.961. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: MNIST Dataset

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: MNIST Datasetmachine_learning_test_result50100150200250SE +/- 0.39, N = 3205.611. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Plot Ward

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Wardmachine_learning_test_result306090120150SE +/- 0.37, N = 3156.971. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Sparsify

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sparsifymachine_learning_test_result4080120160200SE +/- 0.31, N = 3183.641. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Lasso

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Lassomachine_learning_test_result2004006008001000SE +/- 2.89, N = 3793.011. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: Tree

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Treemachine_learning_test_result4080120160200SE +/- 0.81, N = 3181.661. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: SAGA

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SAGAmachine_learning_test_result5001000150020002500SE +/- 0.80, N = 32449.381. (F9X) gfortran options: -O0

Scikit-Learn

Benchmark: GLM

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: GLMmachine_learning_test_result2004006008001000SE +/- 3.81, N = 31051.971. (F9X) gfortran options: -O0

Numenta Anomaly Benchmark

Detector: Contextual Anomaly Detector OSE

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSEmachine_learning_test_result60120180240300SE +/- 1.75, N = 3260.82

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian Changepointmachine_learning_test_result50100150200250SE +/- 1.96, N = 3210.46

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko Skylinemachine_learning_test_result120240360480600SE +/- 4.48, N = 3550.59

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed Gaussianmachine_learning_test_result918273645SE +/- 0.20, N = 338.47

Numenta Anomaly Benchmark

Detector: Relative Entropy

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative Entropymachine_learning_test_result20406080100SE +/- 0.40, N = 392.50

Numenta Anomaly Benchmark

Detector: KNN CAD

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADmachine_learning_test_result160320480640800SE +/- 5.05, N = 3739.30

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1machine_learning_test_result100200300400500SE +/- 0.10, N = 3483.10MIN: 481.83 / MAX: 485.581. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2machine_learning_test_result306090120150SE +/- 0.18, N = 3132.24MIN: 131.39 / MAX: 134.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2machine_learning_test_result120240360480600SE +/- 1.98, N = 3544.13MIN: 537.28 / MAX: 552.431. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

TNN

Target: CPU - Model: DenseNet

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetmachine_learning_test_result16003200480064008000SE +/- 46.30, N = 37490.18MIN: 7150.37 / MAX: 7917.481. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

NCNN

Target: Vulkan GPU - Model: FastestDet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetmachine_learning_test_result1.09352.1873.28054.3745.4675SE +/- 0.03, N = 64.86MIN: 4.51 / MAX: 5.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vision_transformermachine_learning_test_result2004006008001000SE +/- 0.66, N = 6935.56MIN: 907.84 / MAX: 971.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: regnety_400mmachine_learning_test_result246810SE +/- 0.15, N = 66.29MIN: 5.59 / MAX: 10.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: yolov4-tinymachine_learning_test_result612182430SE +/- 0.50, N = 623.21MIN: 18.67 / MAX: 25.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50machine_learning_test_result3691215SE +/- 0.05, N = 69.67MIN: 9.34 / MAX: 11.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetmachine_learning_test_result3691215SE +/- 0.05, N = 69.03MIN: 8.81 / MAX: 9.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vgg16machine_learning_test_result510152025SE +/- 0.09, N = 619.34MIN: 19.03 / MAX: 20.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: googlenetmachine_learning_test_result246810SE +/- 0.13, N = 68.21MIN: 7.6 / MAX: 14.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefacemachine_learning_test_result0.65931.31861.97792.63723.2965SE +/- 0.02, N = 62.93MIN: 2.46 / MAX: 3.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: efficientnet-b0machine_learning_test_result246810SE +/- 0.14, N = 68.61MIN: 8.01 / MAX: 13.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: shufflenet-v2machine_learning_test_result1.14752.2953.44254.595.7375SE +/- 0.06, N = 65.10MIN: 4.75 / MAX: 5.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2machine_learning_test_result0.9181.8362.7543.6724.59SE +/- 0.06, N = 64.08MIN: 3.89 / MAX: 6.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: FastestDet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetmachine_learning_test_result1.25332.50663.75995.01326.2665SE +/- 0.03, N = 35.57MIN: 5.29 / MAX: 8.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformermachine_learning_test_result2004006008001000SE +/- 0.80, N = 3805.53MIN: 792.04 / MAX: 835.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mmachine_learning_test_result3691215SE +/- 0.16, N = 312.83MIN: 12.15 / MAX: 32.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdmachine_learning_test_result48121620SE +/- 0.07, N = 317.44MIN: 16.82 / MAX: 21.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinymachine_learning_test_result714212835SE +/- 0.10, N = 329.49MIN: 28.54 / MAX: 55.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50machine_learning_test_result714212835SE +/- 0.07, N = 331.60MIN: 30.84 / MAX: 34.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetmachine_learning_test_result48121620SE +/- 0.04, N = 315.40MIN: 15.05 / MAX: 40.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18machine_learning_test_result3691215SE +/- 0.07, N = 313.47MIN: 12.82 / MAX: 31.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16machine_learning_test_result1428425670SE +/- 0.03, N = 361.65MIN: 59.81 / MAX: 67.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetmachine_learning_test_result48121620SE +/- 0.06, N = 317.86MIN: 17.35 / MAX: 43.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefacemachine_learning_test_result0.5311.0621.5932.1242.655SE +/- 0.02, N = 32.36MIN: 2.26 / MAX: 5.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0machine_learning_test_result3691215SE +/- 0.02, N = 39.71MIN: 9.31 / MAX: 15.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetmachine_learning_test_result1.23752.4753.71254.956.1875SE +/- 0.01, N = 35.50MIN: 5.28 / MAX: 6.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2machine_learning_test_result1.1162.2323.3484.4645.58SE +/- 0.02, N = 34.96MIN: 4.75 / MAX: 9.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3machine_learning_test_result1.26682.53363.80045.06726.334SE +/- 0.01, N = 35.63MIN: 5.32 / MAX: 14.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2machine_learning_test_result246810SE +/- 0.01, N = 36.10MIN: 5.72 / MAX: 16.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetmachine_learning_test_result510152025SE +/- 0.03, N = 320.10MIN: 19.54 / MAX: 25.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3machine_learning_test_result20406080100SE +/- 0.14, N = 384.63MIN: 83.31 / MAX: 127.651. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0machine_learning_test_result3691215SE +/- 0.02, N = 311.67MIN: 11.41 / MAX: 23.931. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224machine_learning_test_result246810SE +/- 0.034, N = 37.837MIN: 7.56 / MAX: 28.871. (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 2.1Model: SqueezeNetV1.0machine_learning_test_result3691215SE +/- 0.13, N = 312.86MIN: 12.3 / MAX: 33.191. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50machine_learning_test_result1530456075SE +/- 0.13, N = 366.27MIN: 65.16 / MAX: 96.131. (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: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1machine_learning_test_result246810SE +/- 0.070, N = 37.311MIN: 7.03 / MAX: 27.941. (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: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3machine_learning_test_result0.69771.39542.09312.79083.4885SE +/- 0.011, N = 33.101MIN: 2.97 / MAX: 8.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: nasnet

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetmachine_learning_test_result612182430SE +/- 0.07, N = 326.44MIN: 25.77 / MAX: 56.321. (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

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2machine_learning_test_result40K80K120K160K200KSE +/- 147.73, N = 3187430

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet Quantmachine_learning_test_result11002200330044005500SE +/- 7.51, N = 35186.43

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet Floatmachine_learning_test_result2K4K6K8K10KSE +/- 6.27, N = 310162.5

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet Mobilemachine_learning_test_result6K12K18K24K30KSE +/- 2.71, N = 330199.9

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4machine_learning_test_result40K80K120K160K200KSE +/- 286.58, N = 3205030

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetmachine_learning_test_result3K6K9K12K15KSE +/- 22.88, N = 314679.2

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28machine_learning_test_result816243240SE +/- 0.00, N = 336.751. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

R Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterR Benchmarkmachine_learning_test_result0.08350.1670.25050.3340.4175SE +/- 0.0008, N = 30.37111. R scripting front-end version 3.6.3 (2020-02-29)

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmarkmachine_learning_test_result4080120160200SE +/- 0.31, N = 3165.05

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASmachine_learning_test_result60120180240300SE +/- 2.31, N = 92531. (CXX) g++ options: -flto -pthread

OpenCV

Test: DNN - Deep Neural Network

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: DNN - Deep Neural Networkmachine_learning_test_result60K120K180K240K300KSE +/- 53435.38, N = 62847151. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

Scikit-Learn

Benchmark: TSNE MNIST Dataset

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: TSNE MNIST Datasetmachine_learning_test_result30060090012001500SE +/- 146.33, N = 71313.491. (F9X) gfortran options: -O0

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: squeezenet_ssdmachine_learning_test_result3691215SE +/- 0.42, N = 613.41MIN: 10.48 / MAX: 19.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet18machine_learning_test_result1.25552.5113.76655.0226.2775SE +/- 0.14, N = 65.58MIN: 4.96 / MAX: 9.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mnasnetmachine_learning_test_result0.9991.9982.9973.9964.995SE +/- 0.13, N = 64.44MIN: 3.86 / MAX: 7.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3machine_learning_test_result1.18582.37163.55744.74325.929SE +/- 0.15, N = 65.27MIN: 4.87 / MAX: 8.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mobilenetmachine_learning_test_result3691215SE +/- 0.68, N = 613.39MIN: 11.26 / MAX: 18.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Phoronix Test Suite v10.8.4