apple-macmini-2020-hpc

Apple M1 testing with a Apple Mac mini and Apple M1 on macOS 12.0.1 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2210193-NE-APPLEMACM88.

apple-macmini-2020-hpcProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelCompilerFile-SystemScreen ResolutionApple M1Apple M1 (8 Cores)Apple Mac mini8GB229GBApple M1Evanlak4K60macOS 12.0.121.1.0 (arm64)GCC 13.0.0 + Clang 13.0.0 + Xcode 13.1APFS3840x2160OpenBenchmarking.org- Python 2.7.18 + Python 3.8.9

apple-macmini-2020-hpcnamd: ATPase Simulation - 327,506 Atomsmafft: Multiple Sequence Alignment - LSU RNAmnn: 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 - FastestDetpyhpc: CPU - TensorFlow - 4194304 - Isoneutral MixingApple M13.6846111.54415.6552.5004.30433.3337.4454.9306.15446.74920.045.124.153.225.188.381.5823.5171.4715.7529.1543.0429.3516.707.021626.052.5220.025.114.153.225.178.371.5823.5171.3815.7329.1343.0629.3916.707.011625.832.52OpenBenchmarking.org

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsApple M10.8291.6582.4873.3164.145SE +/- 0.02378, N = 33.68461

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAApple M13691215SE +/- 0.09, N = 1411.541. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Mobile Neural Network

Model: nasnet

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetApple M148121620SE +/- 0.07, N = 315.66MIN: 11.75 / MAX: 35.991. (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

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3Apple M10.56251.1251.68752.252.8125SE +/- 0.012, N = 32.500MIN: 1.86 / MAX: 13.461. (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

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1Apple M10.96841.93682.90523.87364.842SE +/- 0.013, N = 34.304MIN: 2.98 / MAX: 10.671. (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

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50Apple M1816243240SE +/- 0.09, N = 333.33MIN: 28.16 / MAX: 51.551. (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

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0Apple M1246810SE +/- 0.055, N = 37.445MIN: 5.96 / MAX: 18.061. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224Apple M11.10932.21863.32794.43725.5465SE +/- 0.010, N = 34.930MIN: 3.97 / MAX: 13.81. (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

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0Apple M1246810SE +/- 0.004, N = 36.154MIN: 5.4 / MAX: 15.251. (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

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3Apple M11122334455SE +/- 0.06, N = 346.75MIN: 41.76 / MAX: 72.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -arch -isysroot

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetApple M1510152025SE +/- 0.01, N = 320.04MIN: 19.96 / MAX: 22.441. (CXX) g++ options: -O3 -arch -isysroot

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Apple M11.1522.3043.4564.6085.76SE +/- 0.01, N = 35.12MIN: 5.08 / MAX: 5.561. (CXX) g++ options: -O3 -arch -isysroot

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Apple M10.93381.86762.80143.73524.669SE +/- 0.01, N = 34.15MIN: 4.13 / MAX: 4.661. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Apple M10.72451.4492.17352.8983.6225SE +/- 0.00, N = 33.22MIN: 3.21 / MAX: 3.551. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetApple M11.16552.3313.49654.6625.8275SE +/- 0.02, N = 35.18MIN: 5.15 / MAX: 5.831. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Apple M1246810SE +/- 0.01, N = 38.38MIN: 8.33 / MAX: 9.281. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceApple M10.35550.7111.06651.4221.7775SE +/- 0.01, N = 31.58MIN: 1.57 / MAX: 1.781. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetApple M1612182430SE +/- 0.00, N = 323.51MIN: 23.43 / MAX: 25.081. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Apple M11632486480SE +/- 0.03, N = 371.47MIN: 71.07 / MAX: 76.791. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18Apple M148121620SE +/- 0.01, N = 315.75MIN: 15.61 / MAX: 17.011. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetApple M1714212835SE +/- 0.01, N = 329.15MIN: 29.01 / MAX: 30.931. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Apple M11020304050SE +/- 0.03, N = 343.04MIN: 42.84 / MAX: 45.71. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyApple M1714212835SE +/- 0.02, N = 329.35MIN: 28.76 / MAX: 31.441. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdApple M148121620SE +/- 0.01, N = 316.70MIN: 16.6 / MAX: 18.321. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mApple M1246810SE +/- 0.01, N = 37.02MIN: 6.97 / MAX: 7.741. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerApple M130060090012001500SE +/- 0.07, N = 31626.05MIN: 1622.85 / MAX: 1635.931. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: CPU - Model: FastestDet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetApple M10.5671.1341.7012.2682.835SE +/- 0.00, N = 32.52MAX: 2.841. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mobilenetApple M1510152025SE +/- 0.01, N = 320.02MIN: 19.95 / MAX: 21.631. (CXX) g++ options: -O3 -arch -isysroot

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Apple M11.14982.29963.44944.59925.749SE +/- 0.01, N = 35.11MIN: 5.08 / MAX: 5.831. (CXX) g++ options: -O3 -arch -isysroot

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Apple M10.93381.86762.80143.73524.669SE +/- 0.00, N = 34.15MIN: 4.13 / MAX: 4.511. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: shufflenet-v2Apple M10.72451.4492.17352.8983.6225SE +/- 0.00, N = 33.22MIN: 3.21 / MAX: 3.481. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mnasnetApple M11.16332.32663.48994.65325.8165SE +/- 0.01, N = 35.17MIN: 5.15 / MAX: 5.921. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: efficientnet-b0Apple M1246810SE +/- 0.01, N = 38.37MIN: 8.33 / MAX: 9.061. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefaceApple M10.35550.7111.06651.4221.7775SE +/- 0.01, N = 31.58MIN: 1.57 / MAX: 1.791. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: googlenetApple M1612182430SE +/- 0.01, N = 323.51MIN: 23.43 / MAX: 25.051. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vgg16Apple M11632486480SE +/- 0.03, N = 371.38MIN: 71.06 / MAX: 76.31. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet18Apple M148121620SE +/- 0.01, N = 315.73MIN: 15.62 / MAX: 16.761. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetApple M1714212835SE +/- 0.02, N = 329.13MIN: 29.01 / MAX: 31.231. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50Apple M11020304050SE +/- 0.00, N = 343.06MIN: 42.82 / MAX: 45.821. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: yolov4-tinyApple M1714212835SE +/- 0.08, N = 329.39MIN: 28.72 / MAX: 31.751. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: squeezenet_ssdApple M148121620SE +/- 0.01, N = 316.70MIN: 16.61 / MAX: 18.141. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: regnety_400mApple M1246810SE +/- 0.00, N = 37.01MIN: 6.97 / MAX: 7.651. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vision_transformerApple M130060090012001500SE +/- 0.16, N = 31625.83MIN: 1623.29 / MAX: 1635.621. (CXX) g++ options: -O3 -arch -isysroot

NCNN

Target: Vulkan GPU - Model: FastestDet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetApple M10.5671.1341.7012.2682.835SE +/- 0.00, N = 32.52MIN: 2.51 / MAX: 2.691. (CXX) g++ options: -O3 -arch -isysroot

Phoronix Test Suite v10.8.4