10885H rav1e 0.4

Intel Core i9-10885H testing with a HP 8736 (S91 Ver. 01.02.01 BIOS) and NVIDIA Quadro RTX 5000 with Max-Q Design 16GB 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 2101138-PTS-10885HRA62
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  Duration
r1
January 13 2021
  2 Hours, 33 Minutes
r2
January 13 2021
  2 Hours, 34 Minutes
3
January 13 2021
  2 Hours, 21 Minutes
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  2 Hours, 29 Minutes

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10885H rav1e 0.4ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolutionr1r23Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads)HP 8736 (S91 Ver. 01.02.01 BIOS)Intel Comet Lake PCH32GB2048GB KXG50PNV2T04 KIOXIANVIDIA Quadro RTX 5000 with Max-Q Design 16GB (300/405MHz)Intel Comet Lake PCH cAVSIntel Wi-Fi 6 AX201Ubuntu 20.045.6.0-1034-oem (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 450.80.02GCC 9.3.0 + CUDA 10.1ext41920x1080OpenBenchmarking.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: intel_pstate powersave - CPU Microcode: 0xe0 - Thermald 1.9.1Security Details- itlb_multihit: KVM: Mitigation of Split huge pages + 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

r1r23Result OverviewPhoronix Test Suite100%100%101%101%101%Mobile Neural Networkrav1eMobile Neural NetworkMobile Neural Networkrav1eMobile Neural Networkrav1erav1eMobile Neural NetworkSqueezeNetV1.010MobileNetV2_224resnet-v2-505mobilenet-v1-1.016inception-v3

10885H rav1e 0.4rav1e: 1rav1e: 5rav1e: 6rav1e: 10mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3r1r230.3751.1201.4993.5778.33947.4684.7814.24055.9400.3741.1241.5033.5668.30647.6704.8054.24255.8970.3741.1221.5003.5888.25647.5404.8054.25355.900OpenBenchmarking.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: 1r2r130.08440.16880.25320.33760.422SE +/- 0.004, N = 14SE +/- 0.004, N = 14SE +/- 0.004, N = 130.3740.3750.374

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5r2r130.25290.50580.75871.01161.2645SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.008, N = 31.1241.1201.122

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6r2r130.33820.67641.01461.35281.691SE +/- 0.014, N = 3SE +/- 0.015, N = 3SE +/- 0.012, N = 31.5031.4991.500

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10r2r130.80731.61462.42193.22924.0365SE +/- 0.037, N = 5SE +/- 0.030, N = 3SE +/- 0.041, N = 33.5663.5773.588

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: SqueezeNetV1.0r2r13246810SE +/- 0.173, N = 12SE +/- 0.136, N = 12SE +/- 0.192, N = 118.3068.3398.256MIN: 4.82 / MAX: 33.74MIN: 4.92 / MAX: 33.84MIN: 4.83 / MAX: 41.071. (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-v2-50r2r131122334455SE +/- 0.18, N = 12SE +/- 0.04, N = 12SE +/- 0.07, N = 1147.6747.4747.54MIN: 45.85 / MAX: 93.48MIN: 44.7 / MAX: 93.37MIN: 45.93 / MAX: 86.91. (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_224r2r131.08112.16223.24334.32445.4055SE +/- 0.024, N = 12SE +/- 0.012, N = 12SE +/- 0.014, N = 114.8054.7814.805MIN: 4.17 / MAX: 26.37MIN: 4.2 / MAX: 26.18MIN: 4.17 / MAX: 30.781. (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: mobilenet-v1-1.0r2r130.95691.91382.87073.82764.7845SE +/- 0.010, N = 12SE +/- 0.010, N = 12SE +/- 0.011, N = 114.2424.2404.253MIN: 3.87 / MAX: 25.44MIN: 3.87 / MAX: 25.41MIN: 3.86 / MAX: 24.291. (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-v3r2r131326395265SE +/- 0.20, N = 12SE +/- 0.15, N = 12SE +/- 0.22, N = 1155.9055.9455.90MIN: 53.59 / MAX: 119.28MIN: 52.91 / MAX: 82.4MIN: 52.36 / MAX: 101.331. (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

9 Results Shown

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