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&grs&rdt .
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 rav1e: 10 mnn: MobileNetV2_224 mnn: resnet-v2-50 rav1e: 5 mnn: mobilenet-v1-1.0 rav1e: 1 rav1e: 6 mnn: inception-v3 mnn: SqueezeNetV1.0 r1 r2 3 3.577 4.781 47.468 1.120 4.240 0.375 1.499 55.940 8.339 3.566 4.805 47.670 1.124 4.242 0.374 1.503 55.897 8.306 3.588 4.805 47.540 1.122 4.253 0.374 1.500 55.900 8.256 OpenBenchmarking.org
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 10 r1 r2 3 0.8073 1.6146 2.4219 3.2292 4.0365 SE +/- 0.030, N = 3 SE +/- 0.037, N = 5 SE +/- 0.041, N = 3 3.577 3.566 3.588
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 r2 3 11 22 33 44 55 SE +/- 0.04, N = 12 SE +/- 0.18, N = 12 SE +/- 0.07, N = 11 47.47 47.67 47.54 MIN: 44.7 / MAX: 93.37 MIN: 45.85 / MAX: 93.48 MIN: 45.93 / MAX: 86.9 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: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 5 r1 r2 3 0.2529 0.5058 0.7587 1.0116 1.2645 SE +/- 0.008, N = 3 SE +/- 0.006, N = 3 SE +/- 0.008, N = 3 1.120 1.124 1.122
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
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 1 r1 r2 3 0.0844 0.1688 0.2532 0.3376 0.422 SE +/- 0.004, N = 14 SE +/- 0.004, N = 14 SE +/- 0.004, N = 13 0.375 0.374 0.374
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 6 r1 r2 3 0.3382 0.6764 1.0146 1.3528 1.691 SE +/- 0.015, N = 3 SE +/- 0.014, N = 3 SE +/- 0.012, N = 3 1.499 1.503 1.500
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: inception-v3 r1 r2 3 13 26 39 52 65 SE +/- 0.15, N = 12 SE +/- 0.20, N = 12 SE +/- 0.22, N = 11 55.94 55.90 55.90 MIN: 52.91 / MAX: 82.4 MIN: 53.59 / MAX: 119.28 MIN: 52.36 / MAX: 101.33 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 r1 r2 3 2 4 6 8 10 SE +/- 0.136, N = 12 SE +/- 0.173, N = 12 SE +/- 0.192, N = 11 8.339 8.306 8.256 MIN: 4.92 / MAX: 33.84 MIN: 4.82 / MAX: 33.74 MIN: 4.83 / MAX: 41.07 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
Phoronix Test Suite v10.8.5