3200U rav1e updated

AMD Ryzen 3 3200U testing with a MOTILE PF4PU1F (N.1.03 BIOS) and AMD Picasso 512MB 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 2101137-HA-3200URAV144
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January 13 2021
  2 Hours, 26 Minutes
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January 13 2021
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January 13 2021
  2 Hours, 2 Minutes
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January 13 2021
  2 Hours, 5 Minutes
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3200U rav1e updatedProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution1234AMD Ryzen 3 3200U @ 2.60GHz (2 Cores / 4 Threads)MOTILE PF4PU1F (N.1.03 BIOS)AMD Raven/Raven23584MB128GB BIWIN SSDAMD Picasso 512MB (1200/1200MHz)AMD Raven/Raven2/FenghuangRealtek RTL8111/8168/8411 + Intel Dual Band-AC 3168NGWUbuntu 20.045.4.0-58-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.0.8 (LLVM 10.0.0)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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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 (Boost: Enabled) - CPU Microcode: 0x8108102 Security 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 + srbds: Not affected + tsx_async_abort: Not affected

1234Result OverviewPhoronix Test Suite100%103%107%110%Mobile Neural NetworkMobile Neural NetworkMobile Neural NetworkMobile Neural Networkrav1erav1eMobile Neural Networkrav1erav1eTNNTNNmobilenet-v1-1.0resnet-v2-50inception-v3SqueezeNetV1.015MobileNetV2_224610CPU - MobileNet v2CPU - SqueezeNet v1.1

3200U rav1e updatedrav1e: 1rav1e: 5rav1e: 6rav1e: 10mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.112340.1770.5250.7091.78924.767136.27414.05620.235168.531322.746310.9070.1760.5370.7061.78924.828132.35114.17422.890175.625322.367310.7390.1720.5350.7121.79724.895130.41214.26520.644176.211322.975310.7930.1730.5290.7041.78325.525139.78914.24820.675176.094323.092310.643OpenBenchmarking.org

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 112340.03980.07960.11940.15920.199SE +/- 0.002, N = 4SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.1770.1760.1720.173
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1123412345Min: 0.17 / Avg: 0.18 / Max: 0.18Min: 0.17 / Avg: 0.18 / Max: 0.18Min: 0.17 / Avg: 0.17 / Max: 0.18Min: 0.17 / Avg: 0.17 / Max: 0.18

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 512340.12080.24160.36240.48320.604SE +/- 0.008, N = 15SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 30.5250.5370.5350.529
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51234246810Min: 0.44 / Avg: 0.52 / Max: 0.54Min: 0.53 / Avg: 0.54 / Max: 0.54Min: 0.53 / Avg: 0.53 / Max: 0.54Min: 0.53 / Avg: 0.53 / Max: 0.53

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 612340.16020.32040.48060.64080.801SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 30.7090.7060.7120.704
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61234246810Min: 0.71 / Avg: 0.71 / Max: 0.71Min: 0.7 / Avg: 0.71 / Max: 0.72Min: 0.71 / Avg: 0.71 / Max: 0.72Min: 0.7 / Avg: 0.7 / Max: 0.71

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1012340.40430.80861.21291.61722.0215SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 31.7891.7891.7971.783
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101234246810Min: 1.79 / Avg: 1.79 / Max: 1.79Min: 1.78 / Avg: 1.79 / Max: 1.8Min: 1.79 / Avg: 1.8 / Max: 1.81Min: 1.77 / Avg: 1.78 / Max: 1.8

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.01234612182430SE +/- 0.14, N = 3SE +/- 0.36, N = 3SE +/- 0.40, N = 3SE +/- 0.36, N = 324.7724.8324.9025.53MIN: 22.24 / MAX: 43.71MIN: 22.24 / MAX: 44.57MIN: 22.22 / MAX: 44.13MIN: 22.45 / MAX: 75.521. (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 1.1.1Model: SqueezeNetV1.01234612182430Min: 24.51 / Avg: 24.77 / Max: 25.01Min: 24.37 / Avg: 24.83 / Max: 25.54Min: 24.33 / Avg: 24.89 / Max: 25.68Min: 24.87 / Avg: 25.53 / Max: 26.111. (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 1.1.1Model: resnet-v2-501234306090120150SE +/- 1.55, N = 3SE +/- 9.37, N = 3SE +/- 8.13, N = 3SE +/- 0.91, N = 3136.27132.35130.41139.79MIN: 109.47 / MAX: 175.67MIN: 111.53 / MAX: 394.31MIN: 112.05 / MAX: 159.13MIN: 133.73 / MAX: 175.581. (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 1.1.1Model: resnet-v2-501234306090120150Min: 133.48 / Avg: 136.27 / Max: 138.83Min: 114.16 / Avg: 132.35 / Max: 145.39Min: 114.19 / Avg: 130.41 / Max: 139.61Min: 138.29 / Avg: 139.79 / Max: 141.421. (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 1.1.1Model: MobileNetV2_224123448121620SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 314.0614.1714.2714.25MIN: 12.89 / MAX: 33.84MIN: 12.86 / MAX: 34.23MIN: 12.85 / MAX: 33.18MIN: 12.94 / MAX: 31.781. (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 1.1.1Model: MobileNetV2_224123448121620Min: 13.95 / Avg: 14.06 / Max: 14.11Min: 14.1 / Avg: 14.17 / Max: 14.26Min: 14.16 / Avg: 14.27 / Max: 14.34Min: 14.22 / Avg: 14.25 / Max: 14.281. (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 1.1.1Model: mobilenet-v1-1.01234510152025SE +/- 0.07, N = 3SE +/- 2.48, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 320.2422.8920.6420.68MIN: 18.99 / MAX: 40.63MIN: 19.09 / MAX: 106.37MIN: 19.07 / MAX: 41.94MIN: 19.07 / MAX: 38.491. (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 1.1.1Model: mobilenet-v1-1.01234510152025Min: 20.09 / Avg: 20.24 / Max: 20.34Min: 20.26 / Avg: 22.89 / Max: 27.84Min: 20.47 / Avg: 20.64 / Max: 20.9Min: 20.63 / Avg: 20.68 / Max: 20.71. (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 1.1.1Model: inception-v312344080120160200SE +/- 5.54, N = 3SE +/- 2.25, N = 3SE +/- 2.64, N = 3SE +/- 3.23, N = 3168.53175.63176.21176.09MIN: 152.4 / MAX: 219.89MIN: 157.56 / MAX: 424.47MIN: 157.84 / MAX: 213.37MIN: 163.08 / MAX: 220.421. (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 1.1.1Model: inception-v31234306090120150Min: 158.38 / Avg: 168.53 / Max: 177.45Min: 171.2 / Avg: 175.63 / Max: 178.49Min: 171.64 / Avg: 176.21 / Max: 180.78Min: 172.49 / Avg: 176.09 / Max: 182.531. (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

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 v2123470140210280350SE +/- 0.18, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.44, N = 3322.75322.37322.98323.09MIN: 319.29 / MAX: 339.39MIN: 319.06 / MAX: 331.04MIN: 319.15 / MAX: 330.34MIN: 319.32 / MAX: 336.621. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2123460120180240300Min: 322.43 / Avg: 322.75 / Max: 323.05Min: 322.06 / Avg: 322.37 / Max: 322.65Min: 322.78 / Avg: 322.98 / Max: 323.34Min: 322.31 / Avg: 323.09 / Max: 323.821. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1123470140210280350SE +/- 0.24, N = 3SE +/- 0.02, N = 3SE +/- 0.37, N = 3SE +/- 0.21, N = 3310.91310.74310.79310.64MIN: 309.76 / MAX: 318.29MIN: 309.74 / MAX: 323.58MIN: 309.52 / MAX: 315.04MIN: 309.47 / MAX: 317.831. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1123460120180240300Min: 310.44 / Avg: 310.91 / Max: 311.24Min: 310.7 / Avg: 310.74 / Max: 310.78Min: 310.08 / Avg: 310.79 / Max: 311.33Min: 310.25 / Avg: 310.64 / Max: 310.961. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

11 Results Shown

rav1e:
  1
  5
  6
  10
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1