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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Perf-Per
Dollar
Date
Triggered
  Test
  Duration
r1
January 13
  2 Hours, 33 Minutes
r2
January 13
  2 Hours, 34 Minutes
3
January 13
  2 Hours, 21 Minutes
Invert Hiding All Results Option
  2 Hours, 29 Minutes
Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):


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 Suite 10.2.2100%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: 1r1r230.08440.16880.25320.33760.422SE +/- 0.004, N = 14SE +/- 0.004, N = 14SE +/- 0.004, N = 130.3750.3740.374
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1r1r2312345Min: 0.37 / Avg: 0.37 / Max: 0.43Min: 0.37 / Avg: 0.37 / Max: 0.42Min: 0.37 / Avg: 0.37 / Max: 0.42

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5r1r230.25290.50580.75871.01161.2645SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 31.1201.1241.122
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5r1r23246810Min: 1.11 / Avg: 1.12 / Max: 1.14Min: 1.12 / Avg: 1.12 / Max: 1.14Min: 1.11 / Avg: 1.12 / Max: 1.14

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6r1r230.33820.67641.01461.35281.691SE +/- 0.015, N = 3SE +/- 0.014, N = 3SE +/- 0.012, N = 31.4991.5031.500
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6r1r23246810Min: 1.48 / Avg: 1.5 / Max: 1.53Min: 1.49 / Avg: 1.5 / Max: 1.53Min: 1.48 / Avg: 1.5 / Max: 1.52

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10r1r230.80731.61462.42193.22924.0365SE +/- 0.030, N = 3SE +/- 0.037, N = 5SE +/- 0.041, N = 33.5773.5663.588
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10r1r23246810Min: 3.53 / Avg: 3.58 / Max: 3.63Min: 3.52 / Avg: 3.57 / Max: 3.71Min: 3.52 / Avg: 3.59 / Max: 3.66

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: SqueezeNetV1.0r1r23246810SE +/- 0.136, N = 12SE +/- 0.173, N = 12SE +/- 0.192, N = 118.3398.3068.256MIN: 4.92 / MAX: 33.84MIN: 4.82 / MAX: 33.74MIN: 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: SqueezeNetV1.0r1r233691215Min: 6.85 / Avg: 8.34 / Max: 8.6Min: 6.49 / Avg: 8.31 / Max: 8.89Min: 6.36 / Avg: 8.26 / Max: 8.561. (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-v2-50r1r231122334455SE +/- 0.04, N = 12SE +/- 0.18, N = 12SE +/- 0.07, N = 1147.4747.6747.54MIN: 44.7 / MAX: 93.37MIN: 45.85 / MAX: 93.48MIN: 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: resnet-v2-50r1r231020304050Min: 47.27 / Avg: 47.47 / Max: 47.77Min: 47.17 / Avg: 47.67 / Max: 49.42Min: 47.3 / Avg: 47.54 / Max: 48.171. (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_224r1r231.08112.16223.24334.32445.4055SE +/- 0.012, N = 12SE +/- 0.024, N = 12SE +/- 0.014, N = 114.7814.8054.805MIN: 4.2 / MAX: 26.18MIN: 4.17 / MAX: 26.37MIN: 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: MobileNetV2_224r1r23246810Min: 4.73 / Avg: 4.78 / Max: 4.88Min: 4.74 / Avg: 4.81 / Max: 5Min: 4.77 / Avg: 4.8 / Max: 4.941. (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-v1-1.0r1r230.95691.91382.87073.82764.7845SE +/- 0.010, N = 12SE +/- 0.010, N = 12SE +/- 0.011, N = 114.2404.2424.253MIN: 3.87 / MAX: 25.41MIN: 3.87 / MAX: 25.44MIN: 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: mobilenet-v1-1.0r1r23246810Min: 4.19 / Avg: 4.24 / Max: 4.29Min: 4.17 / Avg: 4.24 / Max: 4.28Min: 4.19 / Avg: 4.25 / Max: 4.31. (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-v3r1r231326395265SE +/- 0.15, N = 12SE +/- 0.20, N = 12SE +/- 0.22, N = 1155.9455.9055.90MIN: 52.91 / MAX: 82.4MIN: 53.59 / MAX: 119.28MIN: 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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v3r1r231122334455Min: 55.38 / Avg: 55.94 / Max: 56.78Min: 54.81 / Avg: 55.9 / Max: 57.1Min: 55.01 / Avg: 55.9 / Max: 57.371. (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.org Community User Comments

Post A Comment