NCNN Vulkan - AMD vs. NVIDIA

NCNN Vulkan benchmarks by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009260-PTS-NCNNVULK08
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GTX 1060
September 25 2020
  34 Minutes
GTX 1070
September 26 2020
  1 Hour, 20 Minutes
GTX 1080
September 25 2020
  23 Minutes
GTX 1650
September 25 2020
  38 Minutes
GTX 1650 SUPER
September 26 2020
  29 Minutes
GTX 1660
September 26 2020
  41 Minutes
GTX 1660 SUPER
September 26 2020
  23 Minutes
GTX 1660 Ti
September 26 2020
  1 Hour, 15 Minutes
RTX 2060
September 25 2020
  1 Hour, 7 Minutes
RTX 2060 SUPER
September 25 2020
  19 Minutes
RTX 2070
September 26 2020
  19 Minutes
RTX 2070 SUPER
September 25 2020
  1 Hour, 1 Minute
RTX 2080
September 26 2020
  1 Hour
RTX 2080 SUPER
September 26 2020
  58 Minutes
RTX 2080 Ti
September 26 2020
  55 Minutes
RX Vega 56
September 25 2020
  20 Minutes
RX 5600 XT
September 25 2020
  19 Minutes
RX 5700
September 25 2020
  18 Minutes
RX 5700 XT
September 25 2020
  1 Hour, 5 Minutes
Radeon VII
September 25 2020
  25 Minutes
Invert Behavior (Only Show Selected Data)
  42 Minutes

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NCNN Vulkan - AMD vs. NVIDIAProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGTX 1060GTX 1070GTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiRX Vega 56RX 5600 XTRX 5700RX 5700 XTRadeon VIIAMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600 + 2000GBNVIDIA GeForce GTX 1060 6GB (1506/4006MHz)NVIDIA GP106 HD AudioDELL P2415QRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-48-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.664.6.0OpenCL 2.0 AMD-APP (3182.0) + OpenCL 1.2 CUDA 11.0.2281.2.133GCC 9.3.0 + CUDA 11.0ext43840x2160NVIDIA GeForce GTX 1070 8GB (1506/4006MHz)NVIDIA GP104 HD AudioNVIDIA GeForce GTX 1080 8GB (1607/5005MHz)ASUS NVIDIA GeForce GTX 1650 4GB (1485/4001MHz)NVIDIA Device 10faASUS NVIDIA GeForce GTX 1650 SUPER 4GB (375/810MHz)NVIDIA TU116 HD AudioASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz)eVGA NVIDIA GeForce GTX 1660 SUPER 6GB (1530/7000MHz)eVGA NVIDIA GeForce GTX 1660 Ti 6GB (1500/6000MHz)NVIDIA GeForce RTX 2060 6GB (1365/7000MHz)NVIDIA TU106 HD AudioNVIDIA GeForce RTX 2060 SUPER 8GB (1470/7000MHz)ASUS NVIDIA GeForce RTX 2070 8GB (420/405MHz)NVIDIA GeForce RTX 2070 SUPER 8GB (375/405MHz)NVIDIA TU104 HD AudioZotac NVIDIA GeForce RTX 2080 8GB (1515/7000MHz)NVIDIA GeForce RTX 2080 SUPER 8GB (405/405MHz)NVIDIA GeForce RTX 2080 Ti 11GB (1350/7000MHz)NVIDIA TU102 HD AudioAMD Radeon RX 56/64 8GB (1590/800MHz)AMD Vega 10 HDMI Audio5.9.0-050900rc6daily20200925-generic (x86_64) 202009244.6 Mesa 20.3.0-devel (git-3173367 2020-09-25 focal-oibaf-ppa) (LLVM 10.0.1)OpenCL 2.0 AMD-APP (3182.0)1.2.145Sapphire AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB (1780/875MHz)AMD Navi 10 HDMI AudioAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz)AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz)AMD Radeon VII 16GB (1801/1000MHz)AMD Vega 20 HDMI AudioOpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --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-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 -vProcessor Details- Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701013Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

GTX 1060GTX 1070GTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiRX Vega 56RX 5600 XTRX 5700RX 5700 XTRadeon VIIResult OverviewPhoronix Test Suite100%206%311%417%522%RealSR-NCNNNCNNNCNNRealSR-NCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNN4x - YesVulkan GPU - vgg16Vulkan GPU - efficientnet-b04x - NoVulkan GPU - alexnetVulkan GPU-v3-v3 - mobilenet-v3Vulkan GPU - resnet50Vulkan GPU - resnet18Vulkan GPU - googlenetVulkan GPU - squeezenetVulkan GPU - mnasnetVulkan GPU-v2-v2 - mobilenet-v2Vulkan GPU - mobilenetVulkan GPU - shufflenet-v2Vulkan GPU - yolov4-tinyVulkan GPU - blazeface

NCNN Vulkan - AMD vs. NVIDIArealsr-ncnn: 4x - Yesncnn: Vulkan GPU - vgg16realsr-ncnn: 4x - Noncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2GTX 1060GTX 1070GTX 1080GTX 1650GTX 1650 SUPERGTX 1660GTX 1660 SUPERGTX 1660 TiRTX 2060RTX 2060 SUPERRTX 2070RTX 2070 SUPERRTX 2080RTX 2080 SUPERRTX 2080 TiRX Vega 56RX 5600 XTRX 5700RX 5700 XTRadeon VII143.94920.2020.5435.408.007.775.9910.523.135.450.703.652.071.602.421.97102.78714.9815.3743.845.916.525.479.152.394.580.713.491.961.552.321.85116.45215.0417.2143.784.915.835.268.842.014.130.713.401.931.472.252.23215.51824.1529.3723.748.426.836.2911.953.375.310.703.502.171.572.291.94186.17921.5525.6582.955.835.805.4210.672.614.090.643.211.631.401.881.60138.72116.9819.8933.055.755.525.579.922.374.330.673.192.001.512.141.77120.14815.417.5382.755.025.205.099.412.383.940.632.871.791.331.981.48117.67415.3317.1502.745.045.245.139.452.263.780.662.841.631.461.831.6186.37211.0813.4002.434.264.724.908.742.003.560.692.841.641.421.791.5476.37310.3112.1292.223.844.604.628.541.723.360.622.611.681.321.931.4575.4379.6412.0072.243.884.674.838.421.733.710.622.891.771.321.701.4563.8638.4710.6152.063.754.334.658.301.683.230.662.691.541.361.751.4460.3608.0510.0611.983.574.284.658.221.633.330.712.761.511.441.761.4954.8407.639.4631.933.534.304.458.121.513.230.632.711.511.391.621.4844.9865.608.2601.613.144.014.537.771.423.050.672.731.481.361.731.4466.10811.5610.2544.386.544.896.317.672.205.740.8710.543.092.344.652.9580.26015.2412.0795.245.023.586.548.531.734.240.767.252.331.843.112.1558.92914.919.3585.385.243.586.608.491.714.270.777.852.251.863.132.1855.67813.708.9824.814.463.366.588.321.573.870.736.632.081.732.962.0541.28810.427.1773.786.625.039.0210.002.047.220.9211.073.152.604.132.84OpenBenchmarking.org

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 106050100150200250SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.23, N = 3SE +/- 0.19, N = 3SE +/- 0.38, N = 3SE +/- 0.31, N = 3SE +/- 0.56, N = 3SE +/- 0.43, N = 3SE +/- 0.26, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.29, N = 3SE +/- 0.08, N = 3SE +/- 0.36, N = 3SE +/- 0.33, N = 341.2966.1155.6858.9380.2644.9954.8460.3663.8675.4476.3786.37117.67120.15138.72186.18215.52116.45102.79143.95

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 20200916Target: Vulkan GPU - Model: vgg16Radeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 1060612182430SE +/- 0.11, N = 4SE +/- 0.13, N = 3SE +/- 0.08, N = 14SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 15SE +/- 0.06, N = 15SE +/- 0.06, N = 15SE +/- 0.03, N = 15SE +/- 0.22, N = 3SE +/- 0.56, N = 3SE +/- 0.06, N = 15SE +/- 0.09, N = 15SE +/- 0.17, N = 3SE +/- 0.12, N = 7SE +/- 0.27, N = 3SE +/- 0.03, N = 4SE +/- 0.14, N = 3SE +/- 0.08, N = 15SE +/- 0.19, N = 410.4211.5613.7014.9115.245.607.638.058.479.6410.3111.0815.3315.4016.9821.5524.1515.0414.9820.201. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 1060714212835SE +/- 0.018, N = 6SE +/- 0.021, N = 5SE +/- 0.020, N = 5SE +/- 0.035, N = 5SE +/- 0.024, N = 4SE +/- 0.020, N = 6SE +/- 0.041, N = 5SE +/- 0.038, N = 5SE +/- 0.034, N = 5SE +/- 0.039, N = 4SE +/- 0.039, N = 4SE +/- 0.021, N = 4SE +/- 0.030, N = 3SE +/- 0.010, N = 3SE +/- 0.045, N = 3SE +/- 0.050, N = 3SE +/- 0.039, N = 3SE +/- 0.068, N = 3SE +/- 0.035, N = 4SE +/- 0.020, N = 37.17710.2548.9829.35812.0798.2609.46310.06110.61512.00712.12913.40017.15017.53819.89325.65829.37217.21415.37420.543

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 20200916Target: Vulkan GPU - Model: alexnetRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10601.2152.433.6454.866.075SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 14SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 15SE +/- 0.03, N = 15SE +/- 0.01, N = 14SE +/- 0.02, N = 15SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 15SE +/- 0.04, N = 15SE +/- 0.03, N = 3SE +/- 0.06, N = 7SE +/- 0.03, N = 3SE +/- 0.03, N = 4SE +/- 0.04, N = 3SE +/- 0.04, N = 14SE +/- 0.02, N = 43.784.384.815.385.241.611.931.982.062.242.222.432.742.753.052.953.743.783.845.401. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Radeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 1060246810SE +/- 0.08, N = 4SE +/- 0.07, N = 3SE +/- 0.00, N = 14SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 15SE +/- 0.04, N = 15SE +/- 0.04, N = 15SE +/- 0.04, N = 15SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 15SE +/- 0.03, N = 14SE +/- 0.13, N = 3SE +/- 0.02, N = 7SE +/- 0.03, N = 3SE +/- 0.18, N = 4SE +/- 0.10, N = 3SE +/- 0.04, N = 15SE +/- 0.09, N = 46.626.544.465.245.023.143.533.573.753.883.844.265.045.025.755.838.424.915.918.001. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 1060246810SE +/- 0.07, N = 4SE +/- 0.00, N = 3SE +/- 0.03, N = 14SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 15SE +/- 0.03, N = 15SE +/- 0.04, N = 15SE +/- 0.05, N = 15SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 15SE +/- 0.17, N = 15SE +/- 0.03, N = 3SE +/- 0.06, N = 7SE +/- 0.04, N = 3SE +/- 0.09, N = 4SE +/- 0.02, N = 3SE +/- 0.21, N = 15SE +/- 0.11, N = 45.034.893.363.583.584.014.304.284.334.674.604.725.245.205.525.806.835.836.527.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10603691215SE +/- 0.06, N = 4SE +/- 0.06, N = 3SE +/- 0.01, N = 14SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 14SE +/- 0.05, N = 15SE +/- 0.04, N = 15SE +/- 0.04, N = 15SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 15SE +/- 0.04, N = 15SE +/- 0.12, N = 3SE +/- 0.01, N = 7SE +/- 0.04, N = 3SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.02, N = 15SE +/- 0.08, N = 49.026.316.586.606.544.534.454.654.654.834.624.905.135.095.575.426.295.265.475.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10603691215SE +/- 0.01, N = 4SE +/- 0.02, N = 3SE +/- 0.01, N = 14SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 15SE +/- 0.08, N = 14SE +/- 0.06, N = 15SE +/- 0.06, N = 15SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 15SE +/- 0.04, N = 15SE +/- 0.12, N = 3SE +/- 0.12, N = 7SE +/- 0.08, N = 3SE +/- 0.11, N = 4SE +/- 0.11, N = 3SE +/- 0.04, N = 15SE +/- 0.08, N = 410.007.678.328.498.537.778.128.228.308.428.548.749.459.419.9210.6711.958.849.1510.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GPU Temperature Monitor

OpenBenchmarking.orgCelsiusGPU Temperature MonitorPhoronix Test Suite System MonitoringRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10601632486480Min: 29 / Avg: 44.95 / Max: 66Min: 29 / Avg: 51.18 / Max: 65Min: 35 / Avg: 52.14 / Max: 74Min: 38 / Avg: 52.05 / Max: 67Min: 44 / Avg: 57.67 / Max: 66Min: 32 / Avg: 49.95 / Max: 71Min: 28 / Avg: 48.45 / Max: 72Min: 29 / Avg: 58.81 / Max: 82Min: 26 / Avg: 46.54 / Max: 68Min: 29 / Avg: 54.07 / Max: 74Min: 29 / Avg: 52.23 / Max: 71Min: 28 / Avg: 50.87 / Max: 70Min: 29 / Avg: 52.99 / Max: 69Min: 33 / Avg: 59.37 / Max: 70Min: 29 / Avg: 60.56 / Max: 79Min: 30 / Avg: 55.56 / Max: 66Min: 31 / Avg: 56.9 / Max: 66Min: 29 / Avg: 62.17 / Max: 79Min: 29 / Avg: 60.05 / Max: 78Min: 27 / Avg: 55.8 / Max: 69

GPU Power Consumption Monitor

OpenBenchmarking.orgWattsGPU Power Consumption MonitorPhoronix Test Suite System MonitoringRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 106050100150200250Min: 21 / Avg: 104.49 / Max: 267Min: 11 / Avg: 96.87 / Max: 167Min: 29 / Avg: 88.95 / Max: 225Min: 31 / Avg: 89.52 / Max: 165Min: 22 / Avg: 98.3 / Max: 171Min: 7.79 / Avg: 115.51 / Max: 274.43Min: 8.89 / Avg: 110.83 / Max: 255.3Min: 13.31 / Avg: 108.43 / Max: 221.85Min: 14.42 / Avg: 107.67 / Max: 220.78Min: 7.53 / Avg: 105.98 / Max: 181.01Min: 10.34 / Avg: 108.02 / Max: 179.76Min: 9.49 / Avg: 91.04 / Max: 164.41Min: 7.41 / Avg: 78.56 / Max: 133.19Min: 10.75 / Avg: 90.37 / Max: 129.22Min: 6.69 / Avg: 72.09 / Max: 109.23Min: 6.51 / Avg: 71.29 / Max: 96.43Min: 5.43 / Avg: 53.96 / Max: 68.86Min: 6.57 / Avg: 115.01 / Max: 188.22Min: 6.75 / Avg: 92.52 / Max: 162.74Min: 5.95 / Avg: 86 / Max: 131.08

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 20200916Target: Vulkan GPU - Model: resnet18Radeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10600.75831.51662.27493.03323.7915SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 14SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 14SE +/- 0.02, N = 15SE +/- 0.04, N = 14SE +/- 0.04, N = 15SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 15SE +/- 0.03, N = 15SE +/- 0.12, N = 3SE +/- 0.01, N = 7SE +/- 0.02, N = 3SE +/- 0.06, N = 4SE +/- 0.01, N = 3SE +/- 0.03, N = 15SE +/- 0.06, N = 42.042.201.571.711.731.421.511.631.681.731.722.002.262.382.372.613.372.012.393.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 1060246810SE +/- 0.15, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 14SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 15SE +/- 0.05, N = 15SE +/- 0.07, N = 15SE +/- 0.06, N = 15SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 15SE +/- 0.04, N = 15SE +/- 0.17, N = 3SE +/- 0.06, N = 7SE +/- 0.16, N = 3SE +/- 0.01, N = 4SE +/- 0.06, N = 3SE +/- 0.04, N = 15SE +/- 0.01, N = 47.225.743.874.274.243.053.233.333.233.713.363.563.783.944.334.095.314.134.585.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10600.2070.4140.6210.8281.035SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 14SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 15SE +/- 0.02, N = 15SE +/- 0.04, N = 15SE +/- 0.03, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 15SE +/- 0.03, N = 15SE +/- 0.00, N = 3SE +/- 0.00, N = 7SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.05, N = 3SE +/- 0.03, N = 15SE +/- 0.01, N = 40.920.870.730.770.760.670.630.710.660.620.620.690.660.630.670.640.700.710.710.701. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Radeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10603691215SE +/- 0.06, N = 4SE +/- 0.19, N = 3SE +/- 0.05, N = 14SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 15SE +/- 0.05, N = 15SE +/- 0.04, N = 15SE +/- 0.04, N = 15SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 15SE +/- 0.04, N = 15SE +/- 0.12, N = 3SE +/- 0.05, N = 7SE +/- 0.25, N = 3SE +/- 0.08, N = 4SE +/- 0.10, N = 3SE +/- 0.04, N = 15SE +/- 0.10, N = 411.0710.546.637.857.252.732.712.762.692.892.612.842.842.873.193.213.503.403.493.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRadeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10600.70881.41762.12642.83523.544SE +/- 0.01, N = 4SE +/- 0.31, N = 3SE +/- 0.02, N = 14SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 14SE +/- 0.05, N = 15SE +/- 0.03, N = 15SE +/- 0.04, N = 15SE +/- 0.14, N = 3SE +/- 0.17, N = 2SE +/- 0.05, N = 15SE +/- 0.04, N = 15SE +/- 0.13, N = 3SE +/- 0.07, N = 7SE +/- 0.01, N = 3SE +/- 0.10, N = 4SE +/- 0.12, N = 3SE +/- 0.03, N = 15SE +/- 0.03, N = 43.153.092.082.252.331.481.511.511.541.771.681.641.631.792.001.632.171.931.962.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Radeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10600.5851.171.7552.342.925SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 14SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 15SE +/- 0.05, N = 15SE +/- 0.08, N = 15SE +/- 0.04, N = 15SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 15SE +/- 0.05, N = 15SE +/- 0.01, N = 3SE +/- 0.05, N = 7SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 15SE +/- 0.01, N = 42.602.341.731.861.841.361.391.441.361.321.321.421.461.331.511.401.571.471.551.601. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Radeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10601.04632.09263.13894.18525.2315SE +/- 0.12, N = 4SE +/- 0.93, N = 3SE +/- 0.12, N = 14SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 15SE +/- 0.03, N = 15SE +/- 0.06, N = 15SE +/- 0.04, N = 15SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 15SE +/- 0.04, N = 15SE +/- 0.15, N = 3SE +/- 0.06, N = 7SE +/- 0.12, N = 3SE +/- 0.12, N = 4SE +/- 0.11, N = 3SE +/- 0.05, N = 15SE +/- 0.09, N = 44.134.652.963.133.111.731.621.761.751.701.931.791.831.982.141.882.292.252.322.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Radeon VIIRX Vega 56RX 5700 XTRX 5700RX 5600 XTRTX 2080 TiRTX 2080 SUPERRTX 2080RTX 2070 SUPERRTX 2070RTX 2060 SUPERRTX 2060GTX 1660 TiGTX 1660 SUPERGTX 1660GTX 1650 SUPERGTX 1650GTX 1080GTX 1070GTX 10600.66381.32761.99142.65523.319SE +/- 0.01, N = 4SE +/- 0.36, N = 3SE +/- 0.07, N = 14SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 15SE +/- 0.05, N = 15SE +/- 0.06, N = 15SE +/- 0.03, N = 15SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 15SE +/- 0.04, N = 15SE +/- 0.01, N = 3SE +/- 0.06, N = 7SE +/- 0.02, N = 3SE +/- 0.00, N = 4SE +/- 0.16, N = 3SE +/- 0.02, N = 15SE +/- 0.02, N = 42.842.952.052.182.151.441.481.491.441.451.451.541.611.481.771.601.942.231.851.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread