Icelake NN + Couch

Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus G7 3GB on Ubuntu 20.04 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 2009266-PTS-ICELAKEN12
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Icelake NN + CouchProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)Dell 06CDVY (1.0.9 BIOS)Intel Device 34ef16GBKBG40ZPZ512G NVMe TOSHIBA 512GBIntel Iris Plus G7 3GB (1100MHz)Realtek ALC289Intel Killer Wi-Fi 6 AX1650i 160MHzUbuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.41.2.131GCC 9.3.0ext41920x1200OpenBenchmarking.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 -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.2.2100%100%100%101%101%Apache CouchDBNCNNRealSR-NCNNTNN

Icelake NN + Couchrealsr-ncnn: 4x - Nocouchdb: 100 - 1000 - 24ncnn: CPU - squeezenetncnn: 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: Vulkan GPU - squeezenetncnn: 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-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1123173.978191.19527.8732.807.606.835.908.4212.532.4226.0771.1522.4120.3552.1343.2434.8531.3611.9413.7411.1512.4627.513.0130.15124.3622.2923.3953.1355.91335.940321.807174.240192.41427.9132.937.626.895.938.4212.582.4026.2071.4422.5220.4052.4143.3034.4731.4611.9413.6811.1512.4627.552.8130.16124.1022.2623.4253.0256.07336.526321.882173.969192.77927.8432.777.626.865.908.4212.572.3826.1271.3722.5120.3352.2743.2134.6231.5311.8413.6911.1212.4227.482.6430.13124.1422.3323.4852.9355.95336.157321.810OpenBenchmarking.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: No1234080120160200SE +/- 0.86, N = 3SE +/- 0.95, N = 3SE +/- 0.98, N = 3173.98174.24173.97
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No123306090120150Min: 172.33 / Avg: 173.98 / Max: 175.22Min: 172.35 / Avg: 174.24 / Max: 175.2Min: 172.03 / Avg: 173.97 / Max: 175.11

Apache CouchDB

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 241234080120160200SE +/- 0.99, N = 3SE +/- 0.27, N = 3SE +/- 1.62, N = 3191.20192.41192.781. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 241234080120160200Min: 189.33 / Avg: 191.2 / Max: 192.72Min: 191.89 / Avg: 192.41 / Max: 192.8Min: 190.95 / Avg: 192.78 / Max: 1961. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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: CPU - Model: squeezenet123714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 327.8727.9127.84MIN: 27.28 / MAX: 32.78MIN: 27.26 / MAX: 32.84MIN: 27.23 / MAX: 32.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123612182430Min: 27.85 / Avg: 27.87 / Max: 27.9Min: 27.9 / Avg: 27.91 / Max: 27.93Min: 27.81 / Avg: 27.84 / Max: 27.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123816243240SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 332.8032.9332.77MIN: 31.5 / MAX: 48.3MIN: 31.41 / MAX: 48.84MIN: 31.37 / MAX: 37.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123714212835Min: 32.77 / Avg: 32.8 / Max: 32.85Min: 32.88 / Avg: 32.93 / Max: 32.97Min: 32.76 / Avg: 32.77 / Max: 32.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 1.01, N = 3SE +/- 1.03, N = 3SE +/- 1.04, N = 37.607.627.62MIN: 5.47 / MAX: 13.58MIN: 5.46 / MAX: 13.45MIN: 5.45 / MAX: 13.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 5.57 / Avg: 7.6 / Max: 8.64Min: 5.56 / Avg: 7.62 / Max: 8.69Min: 5.55 / Avg: 7.62 / Max: 8.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.92, N = 3SE +/- 0.96, N = 3SE +/- 0.95, N = 36.836.896.86MIN: 4.89 / MAX: 12.59MIN: 4.89 / MAX: 12.71MIN: 4.89 / MAX: 12.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31233691215Min: 4.98 / Avg: 6.83 / Max: 7.78Min: 4.98 / Avg: 6.89 / Max: 7.87Min: 4.97 / Avg: 6.86 / Max: 7.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21231.33432.66864.00295.33726.6715SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.905.935.90MIN: 5.47 / MAX: 10.52MIN: 5.59 / MAX: 10.29MIN: 5.57 / MAX: 10.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810Min: 5.88 / Avg: 5.9 / Max: 5.93Min: 5.91 / Avg: 5.93 / Max: 5.95Min: 5.89 / Avg: 5.9 / Max: 5.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 38.428.428.42MIN: 7.96 / MAX: 13.34MIN: 7.97 / MAX: 13.44MIN: 7.93 / MAX: 13.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1233691215Min: 8.38 / Avg: 8.42 / Max: 8.47Min: 8.39 / Avg: 8.42 / Max: 8.47Min: 8.41 / Avg: 8.42 / Max: 8.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.5312.5812.57MIN: 12.25 / MAX: 17.27MIN: 11.81 / MAX: 23.93MIN: 11.82 / MAX: 17.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b012348121620Min: 12.5 / Avg: 12.53 / Max: 12.57Min: 12.56 / Avg: 12.58 / Max: 12.59Min: 12.53 / Avg: 12.57 / Max: 12.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.54451.0891.63352.1782.7225SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.422.402.38MIN: 2.23 / MAX: 15.55MIN: 2.23 / MAX: 6.76MIN: 2.23 / MAX: 6.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 2.37 / Avg: 2.42 / Max: 2.49Min: 2.39 / Avg: 2.4 / Max: 2.42Min: 2.37 / Avg: 2.38 / Max: 2.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 326.0726.2026.12MIN: 24.96 / MAX: 41.88MIN: 25.1 / MAX: 32.04MIN: 24.99 / MAX: 31.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123612182430Min: 26.03 / Avg: 26.07 / Max: 26.14Min: 26.18 / Avg: 26.2 / Max: 26.24Min: 26.08 / Avg: 26.12 / Max: 26.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231632486480SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 371.1571.4471.37MIN: 70.04 / MAX: 92.8MIN: 70.35 / MAX: 92.6MIN: 70.23 / MAX: 87.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231428425670Min: 71.1 / Avg: 71.15 / Max: 71.18Min: 71.27 / Avg: 71.44 / Max: 71.6Min: 71.32 / Avg: 71.37 / Max: 71.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 322.4122.5222.51MIN: 20.42 / MAX: 28.62MIN: 20.42 / MAX: 28.57MIN: 20.38 / MAX: 37.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123510152025Min: 22.37 / Avg: 22.41 / Max: 22.45Min: 22.5 / Avg: 22.52 / Max: 22.54Min: 22.44 / Avg: 22.51 / Max: 22.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 320.3520.4020.33MIN: 19.3 / MAX: 36.1MIN: 19.35 / MAX: 36.99MIN: 19.32 / MAX: 25.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123510152025Min: 20.31 / Avg: 20.35 / Max: 20.41Min: 20.33 / Avg: 20.4 / Max: 20.43Min: 20.3 / Avg: 20.33 / Max: 20.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231224364860SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 352.1352.4152.27MIN: 50.22 / MAX: 57.76MIN: 50.4 / MAX: 58.29MIN: 50.33 / MAX: 67.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231122334455Min: 52.1 / Avg: 52.13 / Max: 52.17Min: 52.38 / Avg: 52.41 / Max: 52.44Min: 52.17 / Avg: 52.27 / Max: 52.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1231020304050SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 343.2443.3043.21MIN: 41.77 / MAX: 47.98MIN: 41.6 / MAX: 57.74MIN: 41.5 / MAX: 56.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123918273645Min: 43.22 / Avg: 43.24 / Max: 43.26Min: 43.14 / Avg: 43.3 / Max: 43.43Min: 43.13 / Avg: 43.21 / Max: 43.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet123816243240SE +/- 0.20, N = 3SE +/- 0.22, N = 3SE +/- 0.30, N = 334.8534.4734.62MIN: 33.21 / MAX: 39.32MIN: 33.04 / MAX: 37.47MIN: 33.1 / MAX: 46.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet123714212835Min: 34.63 / Avg: 34.85 / Max: 35.24Min: 34.04 / Avg: 34.47 / Max: 34.7Min: 34.03 / Avg: 34.62 / Max: 34.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet123714212835SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 331.3631.4631.53MIN: 28.98 / MAX: 33.59MIN: 29.2 / MAX: 32.95MIN: 29.38 / MAX: 35.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet123714212835Min: 31.19 / Avg: 31.36 / Max: 31.47Min: 31.39 / Avg: 31.46 / Max: 31.5Min: 31.5 / Avg: 31.53 / Max: 31.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 311.9411.9411.84MIN: 11.68 / MAX: 16.48MIN: 11.66 / MAX: 15.64MIN: 11.63 / MAX: 14.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21233691215Min: 11.85 / Avg: 11.94 / Max: 12.13Min: 11.87 / Avg: 11.94 / Max: 12.07Min: 11.8 / Avg: 11.84 / Max: 11.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v312348121620SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 313.7413.6813.69MIN: 13.47 / MAX: 16.62MIN: 13.22 / MAX: 14.62MIN: 13.41 / MAX: 14.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v312348121620Min: 13.67 / Avg: 13.74 / Max: 13.79Min: 13.65 / Avg: 13.68 / Max: 13.73Min: 13.67 / Avg: 13.69 / Max: 13.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21233691215SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 311.1511.1511.12MIN: 10.35 / MAX: 14.53MIN: 10.94 / MAX: 13.7MIN: 10.84 / MAX: 13.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21233691215Min: 10.53 / Avg: 11.15 / Max: 11.69Min: 11.08 / Avg: 11.15 / Max: 11.28Min: 11.07 / Avg: 11.12 / Max: 11.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.4612.4612.42MIN: 12.02 / MAX: 17.22MIN: 11.81 / MAX: 17.29MIN: 11.86 / MAX: 16.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet12348121620Min: 12.43 / Avg: 12.46 / Max: 12.49Min: 12.45 / Avg: 12.46 / Max: 12.47Min: 12.38 / Avg: 12.42 / Max: 12.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0123612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 327.5127.5527.48MIN: 27.14 / MAX: 27.66MIN: 27.11 / MAX: 27.77MIN: 27.21 / MAX: 27.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0123612182430Min: 27.48 / Avg: 27.51 / Max: 27.54Min: 27.5 / Avg: 27.55 / Max: 27.6Min: 27.47 / Avg: 27.48 / Max: 27.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1230.67731.35462.03192.70923.3865SE +/- 0.44, N = 3SE +/- 0.42, N = 3SE +/- 0.17, N = 33.012.812.64MIN: 2.33 / MAX: 4.02MIN: 2.19 / MAX: 3.85MIN: 2.16 / MAX: 3.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface123246810Min: 2.36 / Avg: 3.01 / Max: 3.86Min: 2.3 / Avg: 2.81 / Max: 3.64Min: 2.31 / Avg: 2.64 / Max: 2.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet123714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 330.1530.1630.13MIN: 29.87 / MAX: 33.19MIN: 29.96 / MAX: 30.98MIN: 29.94 / MAX: 31.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet123714212835Min: 30.13 / Avg: 30.15 / Max: 30.17Min: 30.13 / Avg: 30.16 / Max: 30.2Min: 30.12 / Avg: 30.13 / Max: 30.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16123306090120150SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.21, N = 3124.36124.10124.14MIN: 123.51 / MAX: 125.15MIN: 123.23 / MAX: 125.16MIN: 123.17 / MAX: 125.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1612320406080100Min: 124.35 / Avg: 124.36 / Max: 124.39Min: 123.95 / Avg: 124.1 / Max: 124.31Min: 123.75 / Avg: 124.14 / Max: 124.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18123510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 322.2922.2622.33MIN: 22.1 / MAX: 22.55MIN: 21.99 / MAX: 22.81MIN: 22.08 / MAX: 22.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18123510152025Min: 22.26 / Avg: 22.29 / Max: 22.32Min: 22.22 / Avg: 22.26 / Max: 22.28Min: 22.27 / Avg: 22.33 / Max: 22.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet123612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 323.3923.4223.48MIN: 23.16 / MAX: 23.67MIN: 23.18 / MAX: 23.66MIN: 23.16 / MAX: 23.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet123510152025Min: 23.33 / Avg: 23.39 / Max: 23.42Min: 23.4 / Avg: 23.42 / Max: 23.45Min: 23.38 / Avg: 23.48 / Max: 23.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet501231224364860SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 353.1353.0252.93MIN: 52.68 / MAX: 53.47MIN: 52.6 / MAX: 53.48MIN: 52.57 / MAX: 53.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet501231122334455Min: 53.06 / Avg: 53.13 / Max: 53.17Min: 52.88 / Avg: 53.02 / Max: 53.13Min: 52.84 / Avg: 52.93 / Max: 53.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny1231326395265SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 355.9156.0755.95MIN: 50.23 / MAX: 73.02MIN: 49.62 / MAX: 76.74MIN: 49.96 / MAX: 62.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny1231122334455Min: 55.81 / Avg: 55.91 / Max: 55.97Min: 55.97 / Avg: 56.07 / Max: 56.14Min: 55.92 / Avg: 55.95 / Max: 55.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212370140210280350SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.27, N = 3335.94336.53336.16MIN: 334.54 / MAX: 339.57MIN: 334.51 / MAX: 341.24MIN: 334.34 / MAX: 341.651. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 335.85 / Avg: 335.94 / Max: 336.02Min: 336.47 / Avg: 336.53 / Max: 336.6Min: 335.71 / Avg: 336.16 / Max: 336.641. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112370140210280350SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3321.81321.88321.81MIN: 320.32 / MAX: 326.75MIN: 320.38 / MAX: 325.73MIN: 320.32 / MAX: 324.951. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300Min: 321.67 / Avg: 321.81 / Max: 322.06Min: 321.65 / Avg: 321.88 / Max: 322.16Min: 321.65 / Avg: 321.81 / Max: 321.961. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl


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