ncnn mnn 2022

AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS) and AMD Radeon RX 6700/6700 XT / 6800M on Ubuntu 22.04 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 2208131-PTS-NCNNMNN216
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August 13 2022
  3 Hours, 26 Minutes
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August 13 2022
  9 Hours, 13 Minutes
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August 13 2022
  8 Hours, 56 Minutes
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August 13 2022
  11 Hours, 18 Minutes
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August 13 2022
  11 Hours, 19 Minutes
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ncnn mnn 2022OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS)AMD Starship/Matisse32GB1000GB Sabrent Rocket 4.0 PlusAMD Radeon RX 6700/6700 XT / 6800M (2880/1124MHz)AMD Navi 21 HDMI AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 22.045.15.0-46-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.3 + Wayland4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.42)1.3.204GCC 11.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionNcnn Mnn 2022 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201016 - 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 and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCDEResult OverviewPhoronix Test Suite100%105%111%116%121%NCNNNCNNNCNNNCNNNCNNNCNNMobile Neural NetworkNCNNNCNNMobile Neural NetworkNCNNNCNNNCNNNCNNNCNNNCNNMobile Neural NetworkNCNNNCNNMobile Neural NetworkMobile Neural NetworkNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNMobile Neural NetworkNCNNNCNNNCNNNCNNNCNNNCNNMobile Neural NetworkNCNNNCNNNCNNNCNNCPU - alexnetVulkan GPU - FastestDetVulkan GPU - squeezenet_ssdVulkan GPU - alexnetVulkan GPU - mobilenetCPU - googlenetSqueezeNetV1.0CPU - blazefaceVulkan GPU-v2-v2 - mobilenet-v2resnet-v2-50CPU - mobilenetVulkan GPU - shufflenet-v2Vulkan GPU - blazefaceVulkan GPU - mnasnetVulkan GPU - resnet18CPU - resnet50mobilenet-v1-1.0Vulkan GPU-v3-v3 - mobilenet-v3CPU - FastestDetmobilenetV3squeezenetv1.1Vulkan GPU - vgg16Vulkan GPU - regnety_400mCPU - squeezenet_ssdCPU - mnasnetCPU - efficientnet-b0Vulkan GPU - yolov4-tinyVulkan GPU - googlenetCPU-v3-v3 - mobilenet-v3MobileNetV2_224Vulkan GPU - efficientnet-b0CPU - yolov4-tinyCPU - vgg16Vulkan GPU - resnet50CPU-v2-v2 - mobilenet-v2CPU - resnet18inception-v3CPU - vision_transformerCPU - shufflenet-v2CPU - regnety_400mVulkan GPU - vision_transformer

ncnn mnn 2022mnn: 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 - FastestDetABCDE1.9033.20921.9565.2343.4492.62526.07411.464.293.784.303.895.911.8212.1947.5812.177.7921.4721.5118.3212.83123.554.989.451.922.352.041.974.931.643.676.772.632.084.9914.585.233.11220.752.501.8603.22721.5645.1443.4222.54225.80611.924.333.824.303.975.971.8011.6947.5212.217.7320.9821.3318.5312.81122.894.909.341.952.362.122.044.891.603.716.932.542.244.9414.485.143.03219.902.281.8653.27821.0985.3503.4682.55625.90511.714.283.774.303.895.901.8211.3847.5812.087.6721.7021.5718.5912.90122.634.939.841.992.342.092.014.901.653.666.752.602.095.0014.565.473.09219.572.331.9133.29821.7045.3023.4562.59225.92411.844.313.774.263.906.021.8811.5647.3412.167.7221.4821.3018.3912.85123.874.869.901.982.362.092.044.861.643.716.752.612.085.0014.595.503.08220.312.381.9023.29621.5365.3823.4722.58125.99011.644.303.764.283.905.901.8311.5347.9412.149.3021.3921.4318.1712.79123.444.8410.052.002.412.092.044.861.663.726.802.622.124.9714.775.553.06220.852.37OpenBenchmarking.org

Mobile Neural Network

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: mobilenetV3BCEAD0.43040.86081.29121.72162.152SE +/- 0.010, N = 3SE +/- 0.014, N = 3SE +/- 0.015, N = 15SE +/- 0.020, N = 3SE +/- 0.015, N = 151.8601.8651.9021.9031.913MIN: 1.74 / MAX: 11.33MIN: 1.74 / MAX: 10.98MIN: 1.69 / MAX: 11.39MIN: 1.71 / MAX: 13.23MIN: 1.69 / MAX: 11.761. (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: squeezenetv1.1ABCED0.74211.48422.22632.96843.7105SE +/- 0.079, N = 3SE +/- 0.058, N = 3SE +/- 0.046, N = 3SE +/- 0.028, N = 15SE +/- 0.036, N = 153.2093.2273.2783.2963.298MIN: 2.96 / MAX: 11.86MIN: 2.95 / MAX: 11.74MIN: 3.03 / MAX: 11.65MIN: 2.88 / MAX: 12.56MIN: 2.83 / MAX: 11.81. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: resnet-v2-50CEBDA510152025SE +/- 0.14, N = 3SE +/- 0.08, N = 15SE +/- 0.49, N = 3SE +/- 0.10, N = 15SE +/- 0.06, N = 321.1021.5421.5621.7021.96MIN: 19.73 / MAX: 46.88MIN: 19.51 / MAX: 34.69MIN: 19.55 / MAX: 34.8MIN: 19.47 / MAX: 39.03MIN: 19.8 / MAX: 82.591. (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: SqueezeNetV1.0BADCE1.2112.4223.6334.8446.055SE +/- 0.059, N = 3SE +/- 0.029, N = 3SE +/- 0.047, N = 15SE +/- 0.070, N = 3SE +/- 0.042, N = 155.1445.2345.3025.3505.382MIN: 4.8 / MAX: 17.58MIN: 4.93 / MAX: 13.77MIN: 4.58 / MAX: 14.4MIN: 5.01 / MAX: 13.89MIN: 4.9 / MAX: 40.681. (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_224BADCE0.78121.56242.34363.12483.906SE +/- 0.019, N = 3SE +/- 0.011, N = 3SE +/- 0.026, N = 15SE +/- 0.008, N = 3SE +/- 0.024, N = 153.4223.4493.4563.4683.472MIN: 3.2 / MAX: 12.93MIN: 3.24 / MAX: 13.32MIN: 3.05 / MAX: 17.71MIN: 3.25 / MAX: 13.17MIN: 3.04 / MAX: 13.371. (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-v1-1.0BCEDA0.59061.18121.77182.36242.953SE +/- 0.018, N = 3SE +/- 0.031, N = 3SE +/- 0.018, N = 15SE +/- 0.025, N = 15SE +/- 0.021, N = 32.5422.5562.5812.5922.625MIN: 2.36 / MAX: 11.09MIN: 2.32 / MAX: 11.13MIN: 2.32 / MAX: 11.34MIN: 2.32 / MAX: 11.27MIN: 2.41 / MAX: 11.151. (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: inception-v3BCDEA612182430SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 15SE +/- 0.06, N = 15SE +/- 0.18, N = 325.8125.9125.9225.9926.07MIN: 24.39 / MAX: 40.84MIN: 24.43 / MAX: 37.78MIN: 23.04 / MAX: 39.16MIN: 23.91 / MAX: 39.7MIN: 24.37 / MAX: 39.271. (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: mobilenetAECDB3691215SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.35, N = 1511.4611.6411.7111.8411.92MIN: 10.61 / MAX: 19.16MIN: 10.9 / MAX: 20.48MIN: 10.59 / MAX: 60.99MIN: 10.94 / MAX: 29.92MIN: 10.28 / MAX: 716.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2CAEDB0.97431.94862.92293.89724.8715SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 154.284.294.304.314.33MIN: 3.95 / MAX: 12.13MIN: 3.94 / MAX: 12.29MIN: 3.94 / MAX: 12.37MIN: 3.94 / MAX: 16.66MIN: 3.93 / MAX: 33.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ECDAB0.85951.7192.57853.4384.2975SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 153.763.773.773.783.82MIN: 3.56 / MAX: 12.52MIN: 3.56 / MAX: 11.78MIN: 3.55 / MAX: 11.83MIN: 3.56 / MAX: 11.69MIN: 3.55 / MAX: 35.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2DEABC0.96751.9352.90253.874.8375SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 2SE +/- 0.01, N = 14SE +/- 0.01, N = 34.264.284.304.304.30MIN: 4.01 / MAX: 12.04MIN: 4.01 / MAX: 12.08MIN: 4.03 / MAX: 12.41MIN: 3.97 / MAX: 35.81MIN: 4.07 / MAX: 12.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetACDEB0.89331.78662.67993.57324.4665SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 153.893.893.903.903.97MIN: 3.68 / MAX: 11.81MIN: 3.69 / MAX: 11.45MIN: 3.68 / MAX: 11.86MIN: 3.65 / MAX: 24.96MIN: 3.69 / MAX: 14.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0CEABD246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 15SE +/- 0.08, N = 35.905.905.915.976.02MIN: 5.59 / MAX: 14.02MIN: 5.53 / MAX: 32.65MIN: 5.57 / MAX: 17MIN: 5.56 / MAX: 78.45MIN: 5.56 / MAX: 47.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceBACED0.4230.8461.2691.6922.115SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 31.801.821.821.831.88MIN: 1.63 / MAX: 9.64MIN: 1.7 / MAX: 9.71MIN: 1.71 / MAX: 4.41MIN: 1.69 / MAX: 10.06MIN: 1.68 / MAX: 49.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetCEDBA3691215SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 15SE +/- 0.31, N = 311.3811.5311.5611.6912.19MIN: 10.66 / MAX: 20.39MIN: 10.64 / MAX: 33.91MIN: 10.58 / MAX: 20.15MIN: 10.57 / MAX: 54.38MIN: 10.69 / MAX: 42.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16DBACE1122334455SE +/- 0.08, N = 3SE +/- 0.12, N = 15SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.40, N = 347.3447.5247.5847.5847.94MIN: 43.83 / MAX: 71.03MIN: 43.88 / MAX: 109.37MIN: 44.3 / MAX: 69.79MIN: 44.41 / MAX: 87.25MIN: 44.37 / MAX: 85.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18CEDAB3691215SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 1512.0812.1412.1612.1712.21MIN: 10.9 / MAX: 20.66MIN: 10.93 / MAX: 29.46MIN: 10.93 / MAX: 21.19MIN: 11.06 / MAX: 20.42MIN: 10.82 / MAX: 25.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetCDBAE3691215SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 15SE +/- 0.05, N = 3SE +/- 1.56, N = 37.677.727.737.799.30MIN: 7.09 / MAX: 16.27MIN: 7.14 / MAX: 16.18MIN: 7.11 / MAX: 21.38MIN: 7.1 / MAX: 16.44MIN: 7.13 / MAX: 633.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50BEADC510152025SE +/- 0.11, N = 15SE +/- 0.19, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 320.9821.3921.4721.4821.70MIN: 18.95 / MAX: 79.65MIN: 19.66 / MAX: 37.46MIN: 19.56 / MAX: 30.76MIN: 19.75 / MAX: 39.98MIN: 19.94 / MAX: 30.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyDBEAC510152025SE +/- 0.04, N = 3SE +/- 0.09, N = 15SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 321.3021.3321.4321.5121.57MIN: 19.44 / MAX: 33.91MIN: 19.29 / MAX: 47.85MIN: 19.88 / MAX: 29.43MIN: 19.61 / MAX: 83.91MIN: 19.56 / MAX: 36.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdEADBC510152025SE +/- 0.19, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 15SE +/- 0.14, N = 318.1718.3218.3918.5318.59MIN: 16.13 / MAX: 27.12MIN: 15.5 / MAX: 34.97MIN: 15.88 / MAX: 27.52MIN: 15.19 / MAX: 66.5MIN: 16.26 / MAX: 43.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mEBADC3691215SE +/- 0.10, N = 3SE +/- 0.05, N = 15SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 312.7912.8112.8312.8512.90MIN: 11.97 / MAX: 21.29MIN: 11.76 / MAX: 25.73MIN: 12.11 / MAX: 26.51MIN: 12.05 / MAX: 26.05MIN: 12.14 / MAX: 20.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerCBEAD306090120150SE +/- 0.17, N = 3SE +/- 0.11, N = 15SE +/- 0.61, N = 3SE +/- 0.06, N = 3SE +/- 0.36, N = 3122.63122.89123.44123.55123.87MIN: 119.12 / MAX: 162.72MIN: 119.06 / MAX: 171.55MIN: 119.37 / MAX: 173.88MIN: 119.55 / MAX: 191.98MIN: 119.07 / MAX: 187.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetEDBCA1.12052.2413.36154.4825.6025SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 15SE +/- 0.08, N = 3SE +/- 0.11, N = 34.844.864.904.934.98MIN: 4.19 / MAX: 12.16MIN: 4.61 / MAX: 12MIN: 4.19 / MAX: 12.29MIN: 4.52 / MAX: 11.93MIN: 4.56 / MAX: 12.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mobilenetBACDE3691215SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.22, N = 15SE +/- 0.17, N = 15SE +/- 0.23, N = 159.349.459.849.9010.05MIN: 5.97 / MAX: 18.47MIN: 5.91 / MAX: 20.24MIN: 5.61 / MAX: 25.64MIN: 4.66 / MAX: 29.74MIN: 4.72 / MAX: 26.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2ABDCE0.450.91.351.82.25SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 15SE +/- 0.04, N = 15SE +/- 0.02, N = 151.921.951.981.992.00MIN: 1.7 / MAX: 6.92MIN: 1.71 / MAX: 6.43MIN: 1.69 / MAX: 9.54MIN: 1.69 / MAX: 14.04MIN: 1.7 / MAX: 12.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3CABDE0.54231.08461.62692.16922.7115SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 15SE +/- 0.03, N = 152.342.352.362.362.41MIN: 2.07 / MAX: 14.62MIN: 2.07 / MAX: 8.2MIN: 2.09 / MAX: 9.49MIN: 2.08 / MAX: 15.13MIN: 2.07 / MAX: 19.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: shufflenet-v2ACDEB0.4770.9541.4311.9082.385SE +/- 0.07, N = 3SE +/- 0.02, N = 15SE +/- 0.02, N = 15SE +/- 0.01, N = 15SE +/- 0.02, N = 32.042.092.092.092.12MIN: 1.65 / MAX: 11.74MIN: 1.65 / MAX: 9.6MIN: 1.65 / MAX: 13.26MIN: 1.65 / MAX: 9.44MIN: 1.67 / MAX: 7.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mnasnetACBDE0.4590.9181.3771.8362.295SE +/- 0.02, N = 3SE +/- 0.01, N = 15SE +/- 0.03, N = 3SE +/- 0.02, N = 13SE +/- 0.02, N = 141.972.012.042.042.04MIN: 1.73 / MAX: 6.43MIN: 1.73 / MAX: 9.57MIN: 1.74 / MAX: 9.58MIN: 1.73 / MAX: 14.09MIN: 1.73 / MAX: 11.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: efficientnet-b0DEBCA1.10932.21863.32794.43725.5465SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.05, N = 3SE +/- 0.02, N = 15SE +/- 0.04, N = 34.864.864.894.904.93MIN: 4.49 / MAX: 18.62MIN: 4.52 / MAX: 18.87MIN: 4.53 / MAX: 27.46MIN: 4.48 / MAX: 29.81MIN: 4.52 / MAX: 29.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefaceBADCE0.37350.7471.12051.4941.8675SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.02, N = 151.601.641.641.651.66MIN: 1.25 / MAX: 10.18MIN: 1.18 / MAX: 11.1MIN: 1.16 / MAX: 14.86MIN: 1.15 / MAX: 12.54MIN: 1.15 / MAX: 22.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: googlenetCABDE0.8371.6742.5113.3484.185SE +/- 0.03, N = 15SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 15SE +/- 0.03, N = 153.663.673.713.713.72MIN: 3.24 / MAX: 16.69MIN: 3.25 / MAX: 17.16MIN: 3.26 / MAX: 16.59MIN: 3.24 / MAX: 25.35MIN: 3.24 / MAX: 18.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vgg16CDAEB246810SE +/- 0.03, N = 15SE +/- 0.02, N = 15SE +/- 0.05, N = 3SE +/- 0.02, N = 15SE +/- 0.06, N = 36.756.756.776.806.93MIN: 6.25 / MAX: 36.3MIN: 6.25 / MAX: 28.85MIN: 6.25 / MAX: 25.32MIN: 6.24 / MAX: 30.4MIN: 6.25 / MAX: 28.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet18BCDEA0.59181.18361.77542.36722.959SE +/- 0.02, N = 3SE +/- 0.02, N = 15SE +/- 0.03, N = 15SE +/- 0.03, N = 13SE +/- 0.03, N = 32.542.602.612.622.63MIN: 2.16 / MAX: 11.84MIN: 2.15 / MAX: 15.22MIN: 2.15 / MAX: 21.7MIN: 2.15 / MAX: 20.98MIN: 2.15 / MAX: 16.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetADCEB0.5041.0081.5122.0162.52SE +/- 0.06, N = 3SE +/- 0.02, N = 13SE +/- 0.03, N = 15SE +/- 0.03, N = 12SE +/- 0.08, N = 32.082.082.092.122.24MIN: 1.68 / MAX: 11.23MIN: 1.67 / MAX: 18.09MIN: 1.67 / MAX: 18.2MIN: 1.68 / MAX: 19.9MIN: 1.68 / MAX: 18.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50BEACD1.1252.253.3754.55.625SE +/- 0.03, N = 3SE +/- 0.03, N = 15SE +/- 0.02, N = 3SE +/- 0.03, N = 15SE +/- 0.04, N = 154.944.974.995.005.00MIN: 4.5 / MAX: 26.23MIN: 4.49 / MAX: 30.82MIN: 4.5 / MAX: 26.58MIN: 4.49 / MAX: 33.3MIN: 4.5 / MAX: 30.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: yolov4-tinyBCADE48121620SE +/- 0.09, N = 3SE +/- 0.04, N = 15SE +/- 0.04, N = 3SE +/- 0.03, N = 15SE +/- 0.25, N = 1514.4814.5614.5814.5914.77MIN: 13.05 / MAX: 21.86MIN: 12.76 / MAX: 28.55MIN: 13.18 / MAX: 22.42MIN: 12.89 / MAX: 35.38MIN: 12.94 / MAX: 50.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: squeezenet_ssdBACDE1.24882.49763.74644.99526.244SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 15SE +/- 0.12, N = 15SE +/- 0.14, N = 155.145.235.475.505.55MIN: 3.67 / MAX: 16.01MIN: 3.64 / MAX: 17.71MIN: 3.7 / MAX: 27.5MIN: 3.7 / MAX: 21.81MIN: 3.7 / MAX: 22.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: regnety_400mBEDCA0.69981.39962.09942.79923.499SE +/- 0.12, N = 3SE +/- 0.03, N = 15SE +/- 0.03, N = 15SE +/- 0.03, N = 15SE +/- 0.13, N = 33.033.063.083.093.11MIN: 2.67 / MAX: 13.33MIN: 2.69 / MAX: 14.14MIN: 2.69 / MAX: 25.76MIN: 2.7 / MAX: 23.46MIN: 2.71 / MAX: 12.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vision_transformerCBDAE50100150200250SE +/- 0.33, N = 15SE +/- 1.44, N = 3SE +/- 0.34, N = 15SE +/- 0.44, N = 3SE +/- 0.36, N = 15219.57219.90220.31220.75220.85MIN: 204.22 / MAX: 967.44MIN: 204.44 / MAX: 295.75MIN: 204.86 / MAX: 914.53MIN: 205.2 / MAX: 332.92MIN: 204.72 / MAX: 1074.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetBCEDA0.56251.1251.68752.252.8125SE +/- 0.03, N = 3SE +/- 0.01, N = 14SE +/- 0.03, N = 15SE +/- 0.04, N = 15SE +/- 0.17, N = 32.282.332.372.382.50MIN: 1.85 / MAX: 8.13MIN: 1.84 / MAX: 7.89MIN: 1.85 / MAX: 17.06MIN: 1.84 / MAX: 9.1MIN: 1.86 / MAX: 8.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread