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.
HTML result view exported from: https://openbenchmarking.org/result/2101138-PTS-10885HRA62&grr&sor .
10885H rav1e 0.4 Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver Compiler File-System Screen Resolution r1 r2 3 Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads) HP 8736 (S91 Ver. 01.02.01 BIOS) Intel Comet Lake PCH 32GB 2048GB KXG50PNV2T04 KIOXIA NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (300/405MHz) Intel Comet Lake PCH cAVS Intel Wi-Fi 6 AX201 Ubuntu 20.04 5.6.0-1034-oem (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 NVIDIA 450.80.02 GCC 9.3.0 + CUDA 10.1 ext4 1920x1080 OpenBenchmarking.org Compiler 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 1.9.1 Security 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
10885H rav1e 0.4 mnn: inception-v3 mnn: mobilenet-v1-1.0 mnn: MobileNetV2_224 mnn: resnet-v2-50 mnn: SqueezeNetV1.0 rav1e: 1 rav1e: 5 rav1e: 6 rav1e: 10 r1 r2 3 55.940 4.240 4.781 47.468 8.339 0.375 1.120 1.499 3.577 55.897 4.242 4.805 47.670 8.306 0.374 1.124 1.503 3.566 55.900 4.253 4.805 47.540 8.256 0.374 1.122 1.500 3.588 OpenBenchmarking.org
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: inception-v3 r2 3 r1 13 26 39 52 65 SE +/- 0.20, N = 12 SE +/- 0.22, N = 11 SE +/- 0.15, N = 12 55.90 55.90 55.94 MIN: 53.59 / MAX: 119.28 MIN: 52.36 / MAX: 101.33 MIN: 52.91 / MAX: 82.4 1. (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
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 r1 r2 3 0.9569 1.9138 2.8707 3.8276 4.7845 SE +/- 0.010, N = 12 SE +/- 0.010, N = 12 SE +/- 0.011, N = 11 4.240 4.242 4.253 MIN: 3.87 / MAX: 25.41 MIN: 3.87 / MAX: 25.44 MIN: 3.86 / MAX: 24.29 1. (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
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: MobileNetV2_224 r1 r2 3 1.0811 2.1622 3.2433 4.3244 5.4055 SE +/- 0.012, N = 12 SE +/- 0.024, N = 12 SE +/- 0.014, N = 11 4.781 4.805 4.805 MIN: 4.2 / MAX: 26.18 MIN: 4.17 / MAX: 26.37 MIN: 4.17 / MAX: 30.78 1. (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
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: resnet-v2-50 r1 3 r2 11 22 33 44 55 SE +/- 0.04, N = 12 SE +/- 0.07, N = 11 SE +/- 0.18, N = 12 47.47 47.54 47.67 MIN: 44.7 / MAX: 93.37 MIN: 45.93 / MAX: 86.9 MIN: 45.85 / MAX: 93.48 1. (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
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 3 r2 r1 2 4 6 8 10 SE +/- 0.192, N = 11 SE +/- 0.173, N = 12 SE +/- 0.136, N = 12 8.256 8.306 8.339 MIN: 4.83 / MAX: 41.07 MIN: 4.82 / MAX: 33.74 MIN: 4.92 / MAX: 33.84 1. (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
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 1 r1 3 r2 0.0844 0.1688 0.2532 0.3376 0.422 SE +/- 0.004, N = 14 SE +/- 0.004, N = 13 SE +/- 0.004, N = 14 0.375 0.374 0.374
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 5 r2 3 r1 0.2529 0.5058 0.7587 1.0116 1.2645 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 SE +/- 0.008, N = 3 1.124 1.122 1.120
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 6 r2 3 r1 0.3382 0.6764 1.0146 1.3528 1.691 SE +/- 0.014, N = 3 SE +/- 0.012, N = 3 SE +/- 0.015, N = 3 1.503 1.500 1.499
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 10 3 r1 r2 0.8073 1.6146 2.4219 3.2292 4.0365 SE +/- 0.041, N = 3 SE +/- 0.030, N = 3 SE +/- 0.037, N = 5 3.588 3.577 3.566
Phoronix Test Suite v10.8.5