mnn ncnn apple m1

Apple M1 testing with a Apple Mac mini (M1 2020) and llvmpipe on Arch Linux ARM 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 2208136-NE-MNNNCNNAP23
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A
August 13 2022
  6 Hours, 18 Minutes
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August 13 2022
  3 Hours, 44 Minutes
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August 13 2022
  6 Hours, 17 Minutes
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August 13 2022
  6 Hours, 17 Minutes
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mnn ncnn apple m1OpenBenchmarking.orgPhoronix Test SuiteApple M1 @ 2.06GHz (4 Cores / 8 Threads)Apple Mac mini (M1 2020)8GB251GB APPLE SSD AP0256Q + 2 x 0GB APPLE SSD AP0256QllvmpipeBroadcom NetXtreme BCM57762 PCIe + Broadcom BRCM4378 + Broadcom Device 5f69Arch Linux ARM5.19.0-rc7-asahi-2-1-ARCH (aarch64)KDE Plasma 5.25.4X Server 1.21.1.44.5 Mesa 22.1.4 (LLVM 14.0.6 128 bits)GCC 12.1.0 + Clang 14.0.6ext41920x1080ProcessorMotherboardMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionMnn Ncnn Apple M1 BenchmarksSystem Logs- --build=aarch64-unknown-linux-gnu --disable-libssp --disable-libstdcxx-pch --disable-multilib --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-fix-cortex-a53-835769 --enable-fix-cortex-a53-843419 --enable-gnu-indirect-function --enable-gnu-unique-object --enable-languages=c,c++,fortran,go,lto,objc,obj-c++ --enable-lto --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-unknown-linux-gnu --mandir=/usr/share/man --with-arch=armv8-a --with-linker-hash-style=gnu - Scaling Governor: apple-cpufreq schedutil- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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

ABCDResult OverviewPhoronix Test Suite100%103%106%109%113%NCNNMobile Neural NetworkMobile Neural NetworkNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNMobile Neural NetworkNCNNNCNNNCNNMobile Neural NetworkMobile Neural NetworkNCNNMobile Neural NetworkNCNNMobile Neural NetworkCPU - FastestDetMobileNetV2_224mobilenetV3CPU - mnasnetCPU-v3-v3 - mobilenet-v3CPU - squeezenet_ssdCPU - resnet18CPU - googlenetCPU - shufflenet-v2CPU - mobilenetCPU - blazefaceCPU - regnety_400mCPU - alexnetCPU - resnet50inception-v3CPU - efficientnet-b0CPU-v2-v2 - mobilenet-v2CPU - yolov4-tinySqueezeNetV1.0resnet-v2-50CPU - vgg16squeezenetv1.1CPU - vision_transformermobilenet-v1-1.0

mnn ncnn apple m1mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3ncnn: CPU - FastestDetncnn: CPU - blazefacencnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetABCD44.4765.7524.6787.20231.2654.1202.0121.912.83556.155.8110.9416.9317.6913.436.6334.1314.383.852.632.132.552.4914.5143.8845.7415.0257.22531.5124.1392.1222.152.79557.835.8211.1317.0917.5413.626.8234.0714.773.862.452.182.522.4614.6744.0705.7354.5117.16631.3464.1151.9292.012.81558.925.8611.3817.0417.5613.736.5633.9114.323.902.562.192.432.4614.8943.9275.7494.5367.16531.3334.1191.9762.002.86557.345.9511.1017.1317.8113.606.7833.9414.283.902.432.162.562.4814.62OpenBenchmarking.org

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: inception-v3ABCD1020304050SE +/- 0.27, N = 12SE +/- 0.81, N = 3SE +/- 0.23, N = 12SE +/- 0.23, N = 1244.4843.8844.0743.93MIN: 43.4 / MAX: 71.04MIN: 42.56 / MAX: 52.14MIN: 43.4 / MAX: 51.58MIN: 42.55 / MAX: 50.761. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: mobilenet-v1-1.0ABCD1.29422.58843.88265.17686.471SE +/- 0.008, N = 12SE +/- 0.031, N = 3SE +/- 0.008, N = 12SE +/- 0.010, N = 125.7525.7415.7355.749MIN: 5.68 / MAX: 9.4MIN: 5.66 / MAX: 8.59MIN: 5.68 / MAX: 11.55MIN: 5.65 / MAX: 11.691. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: MobileNetV2_224ABCD1.13062.26123.39184.52245.653SE +/- 0.117, N = 12SE +/- 0.031, N = 3SE +/- 0.116, N = 12SE +/- 0.110, N = 124.6785.0254.5114.536MIN: 4.14 / MAX: 8.31MIN: 4.97 / MAX: 5.27MIN: 4.09 / MAX: 10MIN: 4.16 / MAX: 10.911. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: SqueezeNetV1.0ABCD246810SE +/- 0.051, N = 12SE +/- 0.102, N = 3SE +/- 0.051, N = 12SE +/- 0.049, N = 127.2027.2257.1667.165MIN: 6.94 / MAX: 10.14MIN: 6.99 / MAX: 7.66MIN: 6.93 / MAX: 11.58MIN: 6.94 / MAX: 8.771. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: resnet-v2-50ABCD714212835SE +/- 0.06, N = 12SE +/- 0.12, N = 3SE +/- 0.07, N = 12SE +/- 0.05, N = 1231.2731.5131.3531.33MIN: 30.89 / MAX: 36.52MIN: 30.98 / MAX: 35.98MIN: 30.87 / MAX: 35.51MIN: 31.02 / MAX: 36.841. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: squeezenetv1.1ABCD0.93131.86262.79393.72524.6565SE +/- 0.012, N = 12SE +/- 0.014, N = 3SE +/- 0.010, N = 12SE +/- 0.009, N = 124.1204.1394.1154.119MIN: 4.03 / MAX: 4.54MIN: 4.07 / MAX: 8.54MIN: 4.04 / MAX: 7.45MIN: 4.04 / MAX: 9.151. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: mobilenetV3ABCD0.47750.9551.43251.912.3875SE +/- 0.042, N = 12SE +/- 0.020, N = 3SE +/- 0.034, N = 12SE +/- 0.043, N = 122.0122.1221.9291.976MIN: 1.79 / MAX: 5.19MIN: 2.07 / MAX: 2.37MIN: 1.78 / MAX: 2.9MIN: 1.78 / MAX: 2.461. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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: FastestDetABCD0.48380.96761.45141.93522.419SE +/- 0.01, N = 2SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 31.912.152.012.00MIN: 1.88 / MAX: 3.36MIN: 2.08 / MAX: 9.79MIN: 1.88 / MAX: 8.67MIN: 1.89 / MAX: 2.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceABCD0.64351.2871.93052.5743.2175SE +/- 0.07, N = 2SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 32.832.792.812.86MIN: 1.26 / MAX: 9.38MIN: 1.38 / MAX: 10.17MIN: 1.17 / MAX: 9.42MIN: 1.14 / MAX: 9.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerABCD120240360480600SE +/- 0.36, N = 3SE +/- 0.64, N = 3SE +/- 0.98, N = 3SE +/- 1.03, N = 3556.15557.83558.92557.34MIN: 516.47 / MAX: 589.99MIN: 520.8 / MAX: 597.49MIN: 522.41 / MAX: 596.29MIN: 523.45 / MAX: 591.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mABCD1.33882.67764.01645.35526.694SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 35.815.825.865.95MIN: 5.78 / MAX: 6.09MIN: 5.78 / MAX: 10.73MIN: 5.79 / MAX: 7.87MIN: 5.79 / MAX: 8.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdABCD3691215SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 310.9411.1311.3811.10MIN: 8.03 / MAX: 20.45MIN: 8.08 / MAX: 21.53MIN: 8.02 / MAX: 21.68MIN: 8.04 / MAX: 21.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyABCD48121620SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 316.9317.0917.0417.13MIN: 14.21 / MAX: 26.86MIN: 13.92 / MAX: 30.17MIN: 14.15 / MAX: 25.65MIN: 14.16 / MAX: 27.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50ABCD48121620SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 317.6917.5417.5617.81MIN: 15.3 / MAX: 27.57MIN: 15.32 / MAX: 28.27MIN: 15.37 / MAX: 27.48MIN: 15.42 / MAX: 30.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetABCD48121620SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 313.4313.6213.7313.60MIN: 9.68 / MAX: 21.9MIN: 9.81 / MAX: 22.21MIN: 9.79 / MAX: 22.09MIN: 9.79 / MAX: 21.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18ABCD246810SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 36.636.826.566.78MIN: 5.77 / MAX: 15.63MIN: 5.74 / MAX: 16.88MIN: 5.75 / MAX: 20.92MIN: 5.74 / MAX: 16.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ABCD816243240SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 334.1334.0733.9133.94MIN: 30.19 / MAX: 46.59MIN: 30.33 / MAX: 45.17MIN: 30.14 / MAX: 47.42MIN: 30.26 / MAX: 46.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetABCD48121620SE +/- 0.10, N = 3SE +/- 0.19, N = 2SE +/- 0.25, N = 3SE +/- 0.26, N = 314.3814.7714.3214.28MIN: 9.51 / MAX: 22.97MIN: 9.79 / MAX: 24.43MIN: 9.41 / MAX: 23.61MIN: 9.29 / MAX: 23.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0ABCD0.87751.7552.63253.514.3875SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.853.863.903.90MIN: 3.81 / MAX: 6.92MIN: 3.81 / MAX: 14.93MIN: 3.81 / MAX: 15.96MIN: 3.81 / MAX: 13.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetABCD0.59181.18361.77542.36722.959SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 32.632.452.562.43MIN: 2.41 / MAX: 12.5MIN: 2.41 / MAX: 4.31MIN: 2.41 / MAX: 4.91MIN: 2.41 / MAX: 3.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2ABCD0.49280.98561.47841.97122.464SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.132.182.192.16MIN: 2.09 / MAX: 2.44MIN: 2.12 / MAX: 7.27MIN: 2.11 / MAX: 20.5MIN: 2.12 / MAX: 3.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ABCD0.5761.1521.7282.3042.88SE +/- 0.02, N = 2SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 32.552.522.432.56MIN: 2.5 / MAX: 4.94MIN: 2.46 / MAX: 2.78MIN: 2.27 / MAX: 2.59MIN: 2.51 / MAX: 5.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2ABCD0.56031.12061.68092.24122.8015SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.492.462.462.48MIN: 2.44 / MAX: 13.25MIN: 2.43 / MAX: 2.9MIN: 2.44 / MAX: 4.62MIN: 2.44 / MAX: 11.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetABCD48121620SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 314.5114.6714.8914.62MIN: 9.47 / MAX: 25.78MIN: 9.45 / MAX: 26.22MIN: 9.41 / MAX: 25.28MIN: 9.37 / MAX: 25.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread