machine-learning-macbook-pro-big-sur

Apple M1 testing with a Apple MacBook Pro and Apple M1 on macOS 11.7 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 2210222-PROG-MACHINE03
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machine-learning-macbook-pro-big-sur
October 23 2022
  17 Hours, 52 Minutes
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machine-learning-macbook-pro-big-surOpenBenchmarking.orgPhoronix Test SuiteApple M1 (8 Cores)Apple MacBook Pro16GB927GBApple M1Color LCDmacOS 11.720.6.0 (arm64)GCC 13.0.0 + Clang 13.0.0APFS2880x1800ProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelCompilerFile-SystemScreen ResolutionMachine-learning-macbook-pro-big-sur BenchmarksSystem Logs- XPC_FLAGS=0x0- Python 2.7.16 + Python 3.10.8

machine-learning-macbook-pro-big-surnumpy: mnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: 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: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetncnn: 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-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoremachine-learning-macbook-pro-big-sur602.9814.0442.2644.02331.8296.9164.4795.68844.73320.315.164.203.265.228.451.6023.6571.8215.8729.2743.3929.6216.807.291625.692.5620.085.114.153.235.178.401.5823.4971.3315.7329.0843.0429.216.707.251624.412.5617.07112.558140.39638.3237569851741OpenBenchmarking.org

oneDNN

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

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

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

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

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

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

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

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

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

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

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

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

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

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

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

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: ./benchdnn: No such file or directory

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmarkmachine-learning-macbook-pro-big-sur130260390520650SE +/- 0.98, N = 3602.98

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

Acceleration: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: Reason: image not found

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetmachine-learning-macbook-pro-big-sur48121620SE +/- 0.03, N = 314.04MIN: 11.36 / MAX: 27.881. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3machine-learning-macbook-pro-big-sur0.50941.01881.52822.03762.547SE +/- 0.028, N = 32.264MIN: 1.86 / MAX: 4.141. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1machine-learning-macbook-pro-big-sur0.90521.81042.71563.62084.526SE +/- 0.001, N = 34.023MIN: 2.94 / MAX: 6.241. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50machine-learning-macbook-pro-big-sur714212835SE +/- 0.05, N = 331.83MIN: 27.65 / MAX: 134.111. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0machine-learning-macbook-pro-big-sur246810SE +/- 0.001, N = 36.916MIN: 5.91 / MAX: 12.411. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224machine-learning-macbook-pro-big-sur1.00782.01563.02344.03125.039SE +/- 0.003, N = 34.479MIN: 3.96 / MAX: 7.971. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0machine-learning-macbook-pro-big-sur1.27982.55963.83945.11926.399SE +/- 0.003, N = 35.688MIN: 5.37 / MAX: 10.861. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3machine-learning-macbook-pro-big-sur1020304050SE +/- 0.21, N = 344.73MIN: 40.53 / MAX: 87.51. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

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 20220729Target: CPU - Model: mobilenetmachine-learning-macbook-pro-big-sur510152025SE +/- 0.12, N = 320.31MIN: 20.03 / MAX: 21.331. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2machine-learning-macbook-pro-big-sur1.1612.3223.4834.6445.805SE +/- 0.03, N = 35.16MIN: 5.09 / MAX: 5.41. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3machine-learning-macbook-pro-big-sur0.9451.892.8353.784.725SE +/- 0.02, N = 34.20MIN: 4.14 / MAX: 4.461. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2machine-learning-macbook-pro-big-sur0.73351.4672.20052.9343.6675SE +/- 0.02, N = 33.26MIN: 3.23 / MAX: 3.51. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetmachine-learning-macbook-pro-big-sur1.17452.3493.52354.6985.8725SE +/- 0.03, N = 35.22MIN: 5.16 / MAX: 5.531. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0machine-learning-macbook-pro-big-sur246810SE +/- 0.06, N = 38.45MIN: 8.36 / MAX: 8.831. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefacemachine-learning-macbook-pro-big-sur0.360.721.081.441.8SE +/- 0.01, N = 31.60MIN: 1.57 / MAX: 1.731. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetmachine-learning-macbook-pro-big-sur612182430SE +/- 0.15, N = 323.65MIN: 23.45 / MAX: 24.221. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16machine-learning-macbook-pro-big-sur1632486480SE +/- 0.39, N = 371.82MIN: 71.13 / MAX: 73.481. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18machine-learning-macbook-pro-big-sur48121620SE +/- 0.10, N = 315.87MIN: 15.74 / MAX: 16.351. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetmachine-learning-macbook-pro-big-sur714212835SE +/- 0.18, N = 329.27MIN: 29.03 / MAX: 30.351. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50machine-learning-macbook-pro-big-sur1020304050SE +/- 0.25, N = 343.39MIN: 43.02 / MAX: 44.181. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinymachine-learning-macbook-pro-big-sur714212835SE +/- 0.07, N = 329.62MIN: 29.35 / MAX: 30.131. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdmachine-learning-macbook-pro-big-sur48121620SE +/- 0.10, N = 316.80MIN: 16.62 / MAX: 17.291. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mmachine-learning-macbook-pro-big-sur246810SE +/- 0.05, N = 37.29MIN: 7.23 / MAX: 7.81. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformermachine-learning-macbook-pro-big-sur30060090012001500SE +/- 0.99, N = 31625.69MIN: 1622.01 / MAX: 1633.551. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetmachine-learning-macbook-pro-big-sur0.5761.1521.7282.3042.88SE +/- 0.00, N = 32.56MIN: 2.55 / MAX: 2.731. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mobilenetmachine-learning-macbook-pro-big-sur510152025SE +/- 0.01, N = 320.08MIN: 20.01 / MAX: 20.481. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2machine-learning-macbook-pro-big-sur1.14982.29963.44944.59925.749SE +/- 0.01, N = 35.11MIN: 5.09 / MAX: 5.391. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3machine-learning-macbook-pro-big-sur0.93381.86762.80143.73524.669SE +/- 0.00, N = 34.15MIN: 4.14 / MAX: 4.391. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: shufflenet-v2machine-learning-macbook-pro-big-sur0.72681.45362.18042.90723.634SE +/- 0.00, N = 33.23MAX: 3.411. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mnasnetmachine-learning-macbook-pro-big-sur1.16332.32663.48994.65325.8165SE +/- 0.00, N = 35.17MIN: 5.16 / MAX: 5.391. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: efficientnet-b0machine-learning-macbook-pro-big-sur246810SE +/- 0.01, N = 38.40MIN: 8.37 / MAX: 8.851. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefacemachine-learning-macbook-pro-big-sur0.35550.7111.06651.4221.7775SE +/- 0.01, N = 31.58MIN: 1.57 / MAX: 1.711. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: googlenetmachine-learning-macbook-pro-big-sur612182430SE +/- 0.00, N = 323.49MIN: 23.45 / MAX: 23.851. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vgg16machine-learning-macbook-pro-big-sur1632486480SE +/- 0.05, N = 371.33MIN: 71.12 / MAX: 74.51. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet18machine-learning-macbook-pro-big-sur48121620SE +/- 0.04, N = 315.73MIN: 15.63 / MAX: 15.991. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetmachine-learning-macbook-pro-big-sur714212835SE +/- 0.01, N = 329.08MIN: 29 / MAX: 29.481. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50machine-learning-macbook-pro-big-sur1020304050SE +/- 0.06, N = 343.04MIN: 42.86 / MAX: 44.61. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: yolov4-tinymachine-learning-macbook-pro-big-sur714212835SE +/- 0.22, N = 329.2MIN: 28.83 / MAX: 29.871. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: squeezenet_ssdmachine-learning-macbook-pro-big-sur48121620SE +/- 0.01, N = 316.70MIN: 16.64 / MAX: 17.591. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: regnety_400mmachine-learning-macbook-pro-big-sur246810SE +/- 0.01, N = 37.25MIN: 7.22 / MAX: 7.531. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vision_transformermachine-learning-macbook-pro-big-sur30060090012001500SE +/- 1.46, N = 31624.41MIN: 1549.17 / MAX: 1641.041. (CXX) g++ options: -O3 -arch -isysroot

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetmachine-learning-macbook-pro-big-sur0.5761.1521.7282.3042.88SE +/- 0.01, N = 32.56MIN: 2.54 / MAX: 2.721. (CXX) g++ options: -O3 -arch -isysroot

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: plaidml: line 24: /.local/bin/plaidbench: No such file or directory

FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: plaidml: line 24: /.local/bin/plaidbench: No such file or directory

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

Detector: EXPoSE

machine-learning-macbook-pro-big-sur: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'sklearn'

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative Entropymachine-learning-macbook-pro-big-sur48121620SE +/- 0.77, N = 1517.07

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed Gaussianmachine-learning-macbook-pro-big-sur3691215SE +/- 0.17, N = 312.56

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko Skylinemachine-learning-macbook-pro-big-sur306090120150SE +/- 0.90, N = 3140.40

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian Changepointmachine-learning-macbook-pro-big-sur918273645SE +/- 0.26, N = 338.32

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference Scoremachine-learning-macbook-pro-big-sur160320480640800756

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training Scoremachine-learning-macbook-pro-big-sur2004006008001000985

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI Scoremachine-learning-macbook-pro-big-sur4008001200160020001741