NN Ryzen 5 3400G

AMD Ryzen 5 3400G testing with a ASUS PRIME B450M-A (2006 BIOS) and ASUS AMD Picasso 2GB on Ubuntu 19.10 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 2009257-FI-NNRYZEN5340
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September 25 2020
  2 Hours, 41 Minutes
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September 25 2020
 
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September 25 2020
  1 Hour, 27 Minutes
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September 25 2020
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NN Ryzen 5 3400GProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen Resolution122a3AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads)ASUS PRIME B450M-A (2006 BIOS)AMD Raven/Raven22 x 8192 MB DDR4-3000MT/s CRUCIAL29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EEASUS AMD Picasso 2GB (1400/1500MHz)AMD Raven/Raven2/FenghuangSyncMasterRealtek RTL8111/8168/8411Ubuntu 19.105.3.0-46-generic (x86_64)GNOME Shell 3.34.1X ServerGCC 9.2.1 20191008ext41280x800OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-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: 0x8108109Security 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: disabled RSB filling + tsx_async_abort: Not affected

NN Ryzen 5 3400Grealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yesncnn: 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 v1.1122a3167.3831316.81631.2541.6610.788.845.699.5614.921.9127.84102.7123.9820.6363.4950.30275.104261.46431.2441.8110.238.905.579.6014.731.9427.94103.3824.0220.7463.0451.08275.160261.93130.9242.1110.719.265.619.7514.701.9328.03103.0524.0320.9163.7251.21275.807262.044OpenBenchmarking.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: No14080120160200SE +/- 0.12, N = 3167.38

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes130060090012001500SE +/- 0.01, N = 31316.82

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: squeezenet12a3714212835SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 331.2531.2430.92MIN: 30.16 / MAX: 79.35MIN: 30.09 / MAX: 32.67MIN: 30.12 / MAX: 32.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet12a3714212835Min: 31 / Avg: 31.25 / Max: 31.39Min: 31.08 / Avg: 31.24 / Max: 31.37Min: 30.43 / Avg: 30.92 / Max: 31.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet12a31020304050SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.80, N = 341.6641.8142.11MIN: 38.59 / MAX: 94.13MIN: 38.78 / MAX: 91.42MIN: 38.73 / MAX: 87.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet12a3918273645Min: 41.33 / Avg: 41.66 / Max: 41.85Min: 41.5 / Avg: 41.81 / Max: 42.18Min: 40.52 / Avg: 42.11 / Max: 43.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v212a33691215SE +/- 0.43, N = 3SE +/- 0.25, N = 3SE +/- 0.36, N = 310.7810.2310.71MIN: 9.86 / MAX: 57.72MIN: 9.86 / MAX: 10.85MIN: 9.92 / MAX: 11.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v212a33691215Min: 9.92 / Avg: 10.78 / Max: 11.26Min: 9.93 / Avg: 10.23 / Max: 10.72Min: 10 / Avg: 10.71 / Max: 11.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v312a33691215SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.26, N = 38.848.909.26MIN: 8.59 / MAX: 14.76MIN: 8.6 / MAX: 40.5MIN: 8.69 / MAX: 58.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v312a33691215Min: 8.62 / Avg: 8.84 / Max: 9.07Min: 8.83 / Avg: 8.9 / Max: 8.99Min: 8.93 / Avg: 9.26 / Max: 9.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v212a31.28032.56063.84095.12126.4015SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 35.695.575.61MIN: 5.48 / MAX: 50.71MIN: 5.5 / MAX: 5.83MIN: 5.54 / MAX: 5.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v212a3246810Min: 5.53 / Avg: 5.69 / Max: 6.01Min: 5.54 / Avg: 5.57 / Max: 5.6Min: 5.57 / Avg: 5.61 / Max: 5.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet12a33691215SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.25, N = 39.569.609.75MIN: 9.24 / MAX: 14.5MIN: 9.42 / MAX: 9.95MIN: 9.21 / MAX: 60.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet12a33691215Min: 9.44 / Avg: 9.56 / Max: 9.77Min: 9.46 / Avg: 9.6 / Max: 9.77Min: 9.32 / Avg: 9.75 / Max: 10.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b012a348121620SE +/- 0.21, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 314.9214.7314.70MIN: 14.29 / MAX: 62.95MIN: 14.27 / MAX: 15.61MIN: 14.42 / MAX: 16.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b012a348121620Min: 14.71 / Avg: 14.92 / Max: 15.34Min: 14.34 / Avg: 14.73 / Max: 15.01Min: 14.55 / Avg: 14.7 / Max: 14.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface12a30.43650.8731.30951.7462.1825SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 31.911.941.93MIN: 1.86 / MAX: 2.03MIN: 1.86 / MAX: 2.11MIN: 1.86 / MAX: 2.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface12a3246810Min: 1.89 / Avg: 1.91 / Max: 1.95Min: 1.89 / Avg: 1.94 / Max: 1.98Min: 1.9 / Avg: 1.93 / Max: 1.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12a3714212835SE +/- 0.36, N = 3SE +/- 0.28, N = 3SE +/- 0.35, N = 327.8427.9428.03MIN: 27.34 / MAX: 35.55MIN: 27.29 / MAX: 29.07MIN: 27.41 / MAX: 29.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12a3612182430Min: 27.47 / Avg: 27.84 / Max: 28.56Min: 27.39 / Avg: 27.94 / Max: 28.24Min: 27.51 / Avg: 28.03 / Max: 28.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612a320406080100SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3102.71103.38103.05MIN: 101.52 / MAX: 108.8MIN: 101.75 / MAX: 146.91MIN: 102.05 / MAX: 141.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612a320406080100Min: 102.49 / Avg: 102.71 / Max: 103.02Min: 103.32 / Avg: 103.38 / Max: 103.45Min: 102.7 / Avg: 103.05 / Max: 103.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812a3612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 323.9824.0224.03MIN: 23.8 / MAX: 24.56MIN: 23.89 / MAX: 25.16MIN: 23.87 / MAX: 25.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812a3612182430Min: 23.95 / Avg: 23.98 / Max: 24Min: 24 / Avg: 24.02 / Max: 24.06Min: 24.01 / Avg: 24.03 / Max: 24.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet12a3510152025SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.30, N = 320.6320.7420.91MIN: 20.4 / MAX: 54.99MIN: 20.37 / MAX: 46.66MIN: 20.48 / MAX: 53.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet12a3510152025Min: 20.56 / Avg: 20.63 / Max: 20.75Min: 20.62 / Avg: 20.74 / Max: 20.89Min: 20.58 / Avg: 20.91 / Max: 21.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet5012a31428425670SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 363.4963.0463.72MIN: 62.7 / MAX: 116.16MIN: 62.42 / MAX: 64.17MIN: 62.99 / MAX: 111.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet5012a31224364860Min: 63.37 / Avg: 63.49 / Max: 63.62Min: 62.8 / Avg: 63.04 / Max: 63.3Min: 63.64 / Avg: 63.72 / Max: 63.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny12a31224364860SE +/- 0.22, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 350.3051.0851.21MIN: 47.34 / MAX: 55.12MIN: 46.76 / MAX: 97.08MIN: 46.57 / MAX: 57.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny12a31020304050Min: 49.88 / Avg: 50.3 / Max: 50.62Min: 50.85 / Avg: 51.08 / Max: 51.44Min: 50.75 / Avg: 51.21 / Max: 51.571. (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 v212a360120180240300SE +/- 0.38, N = 3SE +/- 0.28, N = 3SE +/- 0.35, N = 3275.10275.16275.81MIN: 271.29 / MAX: 289.33MIN: 272.69 / MAX: 285.61MIN: 272.51 / MAX: 286.691. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212a350100150200250Min: 274.38 / Avg: 275.1 / Max: 275.68Min: 274.64 / Avg: 275.16 / Max: 275.59Min: 275.33 / Avg: 275.81 / Max: 276.491. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112a360120180240300SE +/- 0.22, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3261.46261.93262.04MIN: 260.55 / MAX: 266.16MIN: 261.46 / MAX: 271.76MIN: 261.61 / MAX: 266.331. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112a350100150200250Min: 261.03 / Avg: 261.46 / Max: 261.78Min: 261.69 / Avg: 261.93 / Max: 262.26Min: 261.97 / Avg: 262.04 / Max: 262.111. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl