3600XT NN

AMD Ryzen 5 3600XT 6-Core testing with a MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.E0 BIOS) and MSI AMD Radeon R7 370 / R9 270/370 OEM 4GB 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 2009254-FI-3600XTNN866
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September 25 2020
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September 25 2020
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September 25 2020
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3600XT NNProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 5 3600XT 6-Core @ 3.80GHz (6 Cores / 12 Threads)MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.E0 BIOS)AMD Starship/Matisse16GBSamsung SSD 960 EVO 500GBMSI AMD Radeon R7 370 / R9 270/370 OEM 4GBAMD Oland/Hainan/CapeG237HLQualcomm Atheros Killer E2500 + Intel 8265 / 8275Ubuntu 20.045.8.0-050800-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.5 Mesa 20.0.4 (LLVM 9.0.1)GCC 9.3.0ext41920x1080OpenBenchmarking.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: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Security 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

123Result OverviewPhoronix Test Suite100%117%135%152%170%NCNNNCNNTNNTNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNNCNNCPU - alexnetCPU - yolov4-tinyCPU - SqueezeNet v1.1CPU - MobileNet v2CPU-v3-v3 - mobilenet-v3CPU - squeezenetCPU - blazefaceCPU - efficientnet-b0CPU - shufflenet-v2CPU - googlenetCPU-v2-v2 - mobilenet-v2CPU - resnet18CPU - resnet50CPU - mnasnetCPU - vgg16CPU - mobilenet

3600XT NNncnn: 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-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.112317.8118.285.635.044.204.757.301.7216.8669.5917.5030.3731.2529.22244.561230.42017.7518.285.635.064.224.767.341.7116.9269.4517.5617.9231.1739.89242.603237.83117.8618.315.655.084.214.757.331.7116.9269.4617.5317.8731.2729.38247.294237.404OpenBenchmarking.org

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: squeezenet12348121620SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 317.8117.7517.86MIN: 17.57 / MAX: 18.06MIN: 17.48 / MAX: 18.52MIN: 17.69 / MAX: 19.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123510152025Min: 17.66 / Avg: 17.81 / Max: 17.98Min: 17.59 / Avg: 17.75 / Max: 17.85Min: 17.82 / Avg: 17.86 / Max: 17.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123510152025SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 318.2818.2818.31MIN: 18.04 / MAX: 18.87MIN: 17.92 / MAX: 25.14MIN: 18.14 / MAX: 23.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123510152025Min: 18.2 / Avg: 18.28 / Max: 18.36Min: 18.1 / Avg: 18.28 / Max: 18.39Min: 18.29 / Avg: 18.31 / Max: 18.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21231.27132.54263.81395.08526.3565SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 35.635.635.65MIN: 5.49 / MAX: 7.89MIN: 5.47 / MAX: 16.17MIN: 5.52 / MAX: 6.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2123246810Min: 5.59 / Avg: 5.63 / Max: 5.65Min: 5.59 / Avg: 5.63 / Max: 5.66Min: 5.6 / Avg: 5.65 / Max: 5.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31231.1432.2863.4294.5725.715SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 35.045.065.08MIN: 4.92 / MAX: 9.75MIN: 4.87 / MAX: 6.38MIN: 4.95 / MAX: 6.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 5 / Avg: 5.04 / Max: 5.06Min: 4.94 / Avg: 5.06 / Max: 5.13Min: 5.03 / Avg: 5.08 / Max: 5.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21230.94951.8992.84853.7984.7475SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.204.224.21MIN: 4.13 / MAX: 5.56MIN: 4.15 / MAX: 5.45MIN: 4.11 / MAX: 5.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810Min: 4.18 / Avg: 4.2 / Max: 4.22Min: 4.21 / Avg: 4.22 / Max: 4.23Min: 4.19 / Avg: 4.21 / Max: 4.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1231.0712.1423.2134.2845.355SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 34.754.764.75MIN: 4.67 / MAX: 9.38MIN: 4.69 / MAX: 6.14MIN: 4.64 / MAX: 5.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810Min: 4.73 / Avg: 4.75 / Max: 4.77Min: 4.72 / Avg: 4.76 / Max: 4.78Min: 4.69 / Avg: 4.75 / Max: 4.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0123246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 37.307.347.33MIN: 7.22 / MAX: 8.18MIN: 7.18 / MAX: 10.13MIN: 7.2 / MAX: 8.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215Min: 7.27 / Avg: 7.3 / Max: 7.33Min: 7.28 / Avg: 7.34 / Max: 7.37Min: 7.27 / Avg: 7.33 / Max: 7.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.3870.7741.1611.5481.935SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 31.721.711.71MIN: 1.67 / MAX: 1.81MIN: 1.65 / MAX: 4.02MIN: 1.66 / MAX: 1.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 1.71 / Avg: 1.72 / Max: 1.73Min: 1.68 / Avg: 1.71 / Max: 1.73Min: 1.7 / Avg: 1.71 / Max: 1.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 316.8616.9216.92MIN: 16.69 / MAX: 17.37MIN: 16.64 / MAX: 18.81MIN: 16.73 / MAX: 17.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620Min: 16.79 / Avg: 16.86 / Max: 16.94Min: 16.74 / Avg: 16.92 / Max: 17.01Min: 16.81 / Avg: 16.92 / Max: 171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231530456075SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 369.5969.4569.46MIN: 69.22 / MAX: 71.08MIN: 69.21 / MAX: 80.99MIN: 69.09 / MAX: 111.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231326395265Min: 69.39 / Avg: 69.59 / Max: 69.96Min: 69.41 / Avg: 69.45 / Max: 69.52Min: 69.33 / Avg: 69.46 / Max: 69.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 317.5017.5617.53MIN: 17.37 / MAX: 17.86MIN: 17.35 / MAX: 27.53MIN: 17.38 / MAX: 18.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620Min: 17.46 / Avg: 17.5 / Max: 17.56Min: 17.42 / Avg: 17.56 / Max: 17.68Min: 17.46 / Avg: 17.53 / Max: 17.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123714212835SE +/- 12.52, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 330.3717.9217.87MIN: 17.61 / MAX: 594.72MIN: 17.84 / MAX: 19.68MIN: 17.77 / MAX: 19.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123714212835Min: 17.85 / Avg: 30.37 / Max: 55.41Min: 17.91 / Avg: 17.92 / Max: 17.93Min: 17.84 / Avg: 17.87 / Max: 17.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123714212835SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 331.2531.1731.27MIN: 31.04 / MAX: 47.87MIN: 30.76 / MAX: 32.86MIN: 31.07 / MAX: 34.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123714212835Min: 31.19 / Avg: 31.25 / Max: 31.35Min: 30.89 / Avg: 31.17 / Max: 31.36Min: 31.19 / Avg: 31.27 / Max: 31.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123918273645SE +/- 0.10, N = 3SE +/- 10.59, N = 3SE +/- 0.07, N = 329.2239.8929.38MIN: 28.79 / MAX: 30.55MIN: 28.9 / MAX: 1358.37MIN: 29.03 / MAX: 30.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123816243240Min: 29.08 / Avg: 29.22 / Max: 29.42Min: 29.02 / Avg: 39.89 / Max: 61.07Min: 29.25 / Avg: 29.38 / Max: 29.461. (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 v212350100150200250SE +/- 0.94, N = 3SE +/- 1.32, N = 3SE +/- 1.28, N = 3244.56242.60247.29MIN: 240.4 / MAX: 260.47MIN: 239.41 / MAX: 258.28MIN: 240.5 / MAX: 262.271. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v21234080120160200Min: 242.76 / Avg: 244.56 / Max: 245.91Min: 240.16 / Avg: 242.6 / Max: 244.7Min: 244.74 / Avg: 247.29 / Max: 248.811. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250SE +/- 1.32, N = 3SE +/- 0.69, N = 3SE +/- 0.23, N = 3230.42237.83237.40MIN: 227.36 / MAX: 239.15MIN: 234.92 / MAX: 241.74MIN: 235.04 / MAX: 243.461. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11234080120160200Min: 228.77 / Avg: 230.42 / Max: 233.02Min: 236.55 / Avg: 237.83 / Max: 238.9Min: 236.95 / Avg: 237.4 / Max: 237.731. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl