Intel Core i9 11900K Lake AVX-512

Intel Core i9-11900K Rocket Lake AVX-512 benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2104074-PTS-ROCKET5105
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AV1 2 Tests
Bioinformatics 2 Tests
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C/C++ Compiler Tests 4 Tests
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Creator Workloads 4 Tests
Cryptography 2 Tests
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HPC - High Performance Computing 7 Tests
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NVIDIA GPU Compute 3 Tests
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No AVX
April 03 2021
  1 Hour, 42 Minutes
AVX
April 02 2021
  1 Hour, 9 Minutes
AVX2
April 02 2021
  1 Hour, 51 Minutes
AVX-512
April 02 2021
  1 Hour, 50 Minutes
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  1 Hour, 38 Minutes

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No AVX

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native -mno-avx" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mno-avx"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-gcn/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-build-config=bootstrap-lto-lean --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x3c - Thermald 2.4.3
Python Notes: Python 3.9.2
Security Notes: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AVX

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native -mno-avx2" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mno-avx2"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-gcn/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-build-config=bootstrap-lto-lean --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x3c - Thermald 2.4.3
Python Notes: Python 3.9.2
Security Notes: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AVX2

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native -mno-avx512f" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mno-avx512f"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-gcn/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-build-config=bootstrap-lto-lean --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x3c - Thermald 2.4.3
Python Notes: Python 3.9.2
Security Notes: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AVX-512

Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (0703 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: ASUS MG28U, Network: 2 x Intel I225-V + Intel Device 2725

OS: Ubuntu 21.04, Kernel: 5.12.0-051200rc3daily20210315-generic (x86_64) 20210314, Desktop: GNOME Shell 3.38.3, Display Server: X Server 1.20.10 + Wayland, OpenGL: 4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0), Compiler: GCC 10.2.1 20210320, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native -mprefer-vector-width=512" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mprefer-vector-width=512"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-gcn/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-build-config=bootstrap-lto-lean --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x3c - Thermald 2.4.3
Python Notes: Python 3.9.2
Security Notes: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Intel Core i9 11900K Lake AVX-512OpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads)ASUS ROG MAXIMUS XIII HERO (0703 BIOS)Intel Tiger Lake-H32GB1000GB Western Digital WD_BLACK SN850 1TBAMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz)Intel Tiger Lake-H HD AudioASUS MG28U2 x Intel I225-V + Intel Device 2725Ubuntu 21.045.12.0-051200rc3daily20210315-generic (x86_64) 20210314GNOME Shell 3.38.3X Server 1.20.10 + Wayland4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0)GCC 10.2.1 20210320ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionIntel Core I9 11900K Lake AVX-512 BenchmarksSystem Logs- Transparent Huge Pages: madvise- No AVX: CXXFLAGS="-O3 -march=native -mno-avx" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mno-avx"- AVX: CXXFLAGS="-O3 -march=native -mno-avx2" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mno-avx2"- AVX2: CXXFLAGS="-O3 -march=native -mno-avx512f" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mno-avx512f"- AVX-512: CXXFLAGS="-O3 -march=native -mprefer-vector-width=512" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mprefer-vector-width=512" - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-gcn/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-build-config=bootstrap-lto-lean --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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x3c - Thermald 2.4.3- Python 3.9.2- 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

No AVXAVXAVX2AVX-512Result OverviewPhoronix Test Suite100%125%150%175%200%CaffeQMCPACKLeelaChessZeroRNNoiseDarmstadt Automotive Parallel Heterogeneous SuiteAOM AV1SVT-HEVCdav1dCrypto++

No AVXAVXAVX2AVX-512Per Watt Result OverviewPhoronix Test Suite100%110%120%131%141%LeelaChessZeroSVT-HEVCAOM AV1Crypto++dav1dDarmstadt Automotive Parallel Heterogeneous SuiteP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

Intel Core i9 11900K Lake AVX-512lczero: BLASlczero: Eigendav1d: Summer Nature 1080pdav1d: Summer Nature 4Kncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - resnet18ncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mcaffe: AlexNet - CPU - 200aom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080pdaphne: OpenMP - Euclidean Clustercpuminer-opt: x25xcpuminer-opt: Garlicoincpuminer-opt: Deepcoincryptopp: Integer + Elliptic Curve Public Key Algorithmsrnnoise: mrbayes: Primate Phylogeny Analysisqmcpack: simple-H2ONo AVXAVXAVX2AVX-512469610706.74186.7916.264.703.723.743.575.771.4413.1912.9424.8023.5918.3510.997009843.2616.497.48136.21266.661387.816307.13458319.94424.909474795707.94186.976374243.1216.697.62137.53268.381406.186353.92563219.07863.50921.584479817712.42190.8115.964.383.613.743.505.581.3612.4412.8624.5323.3417.5910.856235242.9516.557.58138.88272.741452.06333.162491.109756.466324.09864719.04559.28322.358482816724.55190.5812.693.492.843.472.564.611.2611.2211.9019.6721.9617.009.496272544.0216.897.92139.72272.031486.22363.615395.07119836432.50951918.49357.07120.826OpenBenchmarking.org

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASNo AVXAVXAVX2AVX-512100200300400500SE +/- 6.06, N = 3SE +/- 6.49, N = 3SE +/- 5.24, N = 3469474479482-mno-avx-mno-avx2-mno-avx512f1. (CXX) g++ options: -flto -O3 -march=native -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: BLASNo AVXAVXAVX2AVX-5120.69751.3952.09252.793.48753.0333.0663.1002.706
MinAvgMaxNo AVX12.7154.6176.0AVX12.1154.6177.7AVX212.2154.5178.3AVX-51211.9178.1220.4OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption Monitor601201802403001. No AVX: Approximate power consumption of 55566 Joules per run.2. AVX: Approximate power consumption of 55762 Joules per run.3. AVX-512: Approximate power consumption of 64358 Joules per run.
MinAvgMaxNo AVX38.071.877.0AVX35.070.375.0AVX232.070.376.0AVX-51229.073.582.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASNo AVXAVXAVX2AVX-51290180270360450Min: 458 / Avg: 468.67 / Max: 479Min: 464 / Avg: 473.67 / Max: 486Min: 474 / Avg: 482.33 / Max: 4921. (CXX) g++ options: -flto -O3 -march=native -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenNo AVXAVXAVX2AVX-5122004006008001000SE +/- 8.50, N = 3SE +/- 8.97, N = 3SE +/- 2.96, N = 3SE +/- 3.28, N = 3610795817816-mno-avx-mno-avx2-mno-avx512f1. (CXX) g++ options: -flto -O3 -march=native -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: EigenNo AVXAVXAVX2AVX-5122468104.0237.7337.8125.784
MinAvgMaxNo AVX12.6151.6177.3AVX12.4102.8113.3AVX212.6104.6115.7AVX-51212.4141.1164.9OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption Monitor501001502002501. No AVX: Approximate power consumption of 54485 Joules per run.2. AVX: Approximate power consumption of 36360 Joules per run.3. AVX2: Approximate power consumption of 36988 Joules per run.4. AVX-512: Approximate power consumption of 49946 Joules per run.
MinAvgMaxNo AVX42.070.478.0AVX40.055.664.0AVX241.057.867.0AVX-51239.062.776.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenNo AVXAVXAVX2AVX-512140280420560700Min: 593 / Avg: 610 / Max: 619Min: 782 / Avg: 794.67 / Max: 812Min: 813 / Avg: 817.33 / Max: 823Min: 811 / Avg: 815.67 / Max: 8221. (CXX) g++ options: -flto -O3 -march=native -pthread

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.2Video Input: Summer Nature 1080pNo AVXAVXAVX2AVX-512160320480640800SE +/- 1.41, N = 3SE +/- 2.01, N = 3SE +/- 2.05, N = 3SE +/- 0.93, N = 3706.74707.94712.42724.55-mno-avx -lm - MIN: 625.98 / MAX: 770.89-mno-avx2 - MIN: 618.26 / MAX: 770.29-mno-avx512f -lm - MIN: 632.68 / MAX: 782.05-lm - MIN: 639.87 / MAX: 788.331. (CC) gcc options: -O3 -march=native -pthread
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.2Video Input: Summer Nature 1080pNo AVXAVXAVX2AVX-512369121512.8112.8712.9710.83
MinAvgMaxNo AVX12.055.2152.9AVX12.055.0152.3AVX212.354.9153.7AVX-51211.966.9221.4OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.8.2CPU Power Consumption Monitor601201802403001. No AVX: Approximate power consumption of 1490 Joules per run.2. AVX: Approximate power consumption of 1504 Joules per run.3. AVX2: Approximate power consumption of 1556 Joules per run.4. AVX-512: Approximate power consumption of 1807 Joules per run.
MinAvgMaxNo AVX34.048.365.0AVX35.047.863.0AVX238.050.065.0AVX-51235.050.277.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.8.2CPU Temperature Monitor20406080100
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.2Video Input: Summer Nature 1080pNo AVXAVXAVX2AVX-512130260390520650Min: 704.82 / Avg: 706.74 / Max: 709.5Min: 703.95 / Avg: 707.94 / Max: 710.35Min: 710.3 / Avg: 712.42 / Max: 716.52Min: 722.7 / Avg: 724.55 / Max: 725.71. (CC) gcc options: -O3 -march=native -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.2Video Input: Summer Nature 4KNo AVXAVXAVX2AVX-5124080120160200SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3186.79186.97190.81190.58-mno-avx -lm - MIN: 171.98 / MAX: 198.82-mno-avx2 - MIN: 172.64 / MAX: 198.75-mno-avx512f -lm - MIN: 177.5 / MAX: 203.85-lm - MIN: 178.31 / MAX: 202.851. (CC) gcc options: -O3 -march=native -pthread
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.2Video Input: Summer Nature 4KNo AVXAVXAVX2AVX-5120.49930.99861.49791.99722.49652.2192.1942.2171.643
MinAvgMaxNo AVX11.984.2151.8AVX12.185.2153.8AVX212.286.1156.4AVX-51212.0116.0226.6OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.8.2CPU Power Consumption Monitor601201802403001. No AVX: Approximate power consumption of 3507 Joules per run.2. AVX: Approximate power consumption of 3551 Joules per run.3. AVX2: Approximate power consumption of 3586 Joules per run.4. AVX-512: Approximate power consumption of 4755 Joules per run.
MinAvgMaxNo AVX32.050.664.0AVX34.053.867.0AVX236.056.070.0AVX-51232.058.781.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.8.2CPU Temperature Monitor20406080100
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.2Video Input: Summer Nature 4KNo AVXAVXAVX2AVX-512306090120150Min: 186.53 / Avg: 186.79 / Max: 187.12Min: 186.78 / Avg: 186.97 / Max: 187.26Min: 190.7 / Avg: 190.81 / Max: 190.93Min: 190.34 / Avg: 190.58 / Max: 190.91. (CC) gcc options: -O3 -march=native -pthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetNo AVXAVX2AVX-51248121620SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 316.2615.9612.69-mno-avx - MIN: 16.04 / MAX: 16.71-mno-avx512f - MIN: 15.53 / MAX: 23.85MIN: 12.49 / MAX: 16.251. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetNo AVXAVX2AVX-51248121620Min: 16.18 / Avg: 16.26 / Max: 16.34Min: 15.78 / Avg: 15.96 / Max: 16.19Min: 12.64 / Avg: 12.69 / Max: 12.761. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2No AVXAVX2AVX-5121.05752.1153.17254.235.2875SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 34.704.383.49-mno-avx - MIN: 4.56 / MAX: 5.67-mno-avx512f - MIN: 4.2 / MAX: 5.28MIN: 3.35 / MAX: 4.591. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2No AVXAVX2AVX-512246810Min: 4.67 / Avg: 4.7 / Max: 4.71Min: 4.32 / Avg: 4.38 / Max: 4.43Min: 3.48 / Avg: 3.49 / Max: 3.511. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3No AVXAVX2AVX-5120.8371.6742.5113.3484.185SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 33.723.612.84-mno-avx - MIN: 3.61 / MAX: 4.66-mno-avx512f - MIN: 3.45 / MAX: 4.57MIN: 2.71 / MAX: 3.361. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3No AVXAVX2AVX-512246810Min: 3.69 / Avg: 3.72 / Max: 3.78Min: 3.52 / Avg: 3.61 / Max: 3.68Min: 2.81 / Avg: 2.84 / Max: 2.881. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2No AVXAVX2AVX-5120.84151.6832.52453.3664.2075SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.743.743.47-mno-avx - MIN: 3.68 / MAX: 5.99-mno-avx512f - MIN: 3.69 / MAX: 5.99MIN: 3.4 / MAX: 4.241. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2No AVXAVX2AVX-512246810Min: 3.71 / Avg: 3.74 / Max: 3.77Min: 3.74 / Avg: 3.74 / Max: 3.74Min: 3.46 / Avg: 3.47 / Max: 3.471. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetNo AVXAVX2AVX-5120.80331.60662.40993.21324.0165SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 33.573.502.56-mno-avx - MIN: 3.45 / MAX: 4.45-mno-avx512f - MIN: 3.32 / MAX: 4.4MIN: 2.47 / MAX: 3.081. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetNo AVXAVX2AVX-512246810Min: 3.51 / Avg: 3.57 / Max: 3.64Min: 3.38 / Avg: 3.5 / Max: 3.58Min: 2.52 / Avg: 2.56 / Max: 2.631. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0No AVXAVX2AVX-5121.29832.59663.89495.19326.4915SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 35.775.584.61-mno-avx - MIN: 5.6 / MAX: 7.73-mno-avx512f - MIN: 5.45 / MAX: 6.29MIN: 4.54 / MAX: 5.51. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0No AVXAVX2AVX-512246810Min: 5.67 / Avg: 5.77 / Max: 5.83Min: 5.52 / Avg: 5.58 / Max: 5.61Min: 4.6 / Avg: 4.61 / Max: 4.631. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceNo AVXAVX2AVX-5120.3240.6480.9721.2961.62SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 31.441.361.26-mno-avx - MIN: 1.37 / MAX: 1.59-mno-avx512f - MIN: 1.26 / MAX: 1.46MIN: 1.18 / MAX: 1.961. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceNo AVXAVX2AVX-512246810Min: 1.39 / Avg: 1.44 / Max: 1.52Min: 1.29 / Avg: 1.36 / Max: 1.42Min: 1.22 / Avg: 1.26 / Max: 1.311. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetNo AVXAVX2AVX-5123691215SE +/- 0.04, N = 3SE +/- 0.35, N = 3SE +/- 0.28, N = 313.1912.4411.22-mno-avx - MIN: 13.06 / MAX: 13.71-mno-avx512f - MIN: 11.65 / MAX: 13.42MIN: 10.81 / MAX: 12.591. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetNo AVXAVX2AVX-51248121620Min: 13.12 / Avg: 13.19 / Max: 13.24Min: 11.74 / Avg: 12.44 / Max: 12.82Min: 10.93 / Avg: 11.22 / Max: 11.781. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18No AVXAVX2AVX-5123691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 212.9412.8611.90-mno-avx - MIN: 12.74 / MAX: 20.32-mno-avx512f - MIN: 12.68 / MAX: 13.64MIN: 11.7 / MAX: 19.291. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18No AVXAVX2AVX-51248121620Min: 12.91 / Avg: 12.94 / Max: 12.98Min: 12.84 / Avg: 12.86 / Max: 12.87Min: 11.87 / Avg: 11.9 / Max: 11.921. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50No AVXAVX2AVX-512612182430SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.33, N = 324.8024.5319.67-mno-avx - MIN: 24.53 / MAX: 25.23-mno-avx512f - MIN: 24.13 / MAX: 27.19MIN: 19.1 / MAX: 23.651. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50No AVXAVX2AVX-512612182430Min: 24.75 / Avg: 24.8 / Max: 24.85Min: 24.42 / Avg: 24.53 / Max: 24.71Min: 19.33 / Avg: 19.67 / Max: 20.321. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyNo AVXAVX2AVX-512612182430SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.30, N = 323.5923.3421.96-mno-avx - MIN: 23.19 / MAX: 31.96-mno-avx512f - MIN: 22.92 / MAX: 23.97MIN: 21.16 / MAX: 22.931. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyNo AVXAVX2AVX-512612182430Min: 23.37 / Avg: 23.59 / Max: 23.73Min: 23.11 / Avg: 23.34 / Max: 23.47Min: 21.37 / Avg: 21.96 / Max: 22.381. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdNo AVXAVX2AVX-512510152025SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 318.3517.5917.00-mno-avx - MIN: 18.06 / MAX: 18.82-mno-avx512f - MIN: 17.32 / MAX: 19.44MIN: 16.72 / MAX: 17.391. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdNo AVXAVX2AVX-512510152025Min: 18.26 / Avg: 18.35 / Max: 18.5Min: 17.57 / Avg: 17.59 / Max: 17.62Min: 16.96 / Avg: 17 / Max: 17.061. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mNo AVXAVX2AVX-5123691215SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 310.9910.859.49-mno-avx - MIN: 10.77 / MAX: 12.22-mno-avx512f - MIN: 10.63 / MAX: 11.72MIN: 9.28 / MAX: 10.491. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread
MinAvgMaxNo AVX11.997.8139.0AVX212.299.3142.4AVX-51212.0116.7200.7OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20201218CPU Power Consumption Monitor501001502002501. No AVX: Approximate power consumption of 5900 Joules per run.2. AVX2: Approximate power consumption of 5922 Joules per run.3. AVX-512: Approximate power consumption of 6226 Joules per run.
MinAvgMaxNo AVX30.050.561.0AVX234.054.665.0AVX-51230.054.970.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20201218CPU Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mNo AVXAVX2AVX-5123691215Min: 10.85 / Avg: 10.99 / Max: 11.16Min: 10.73 / Avg: 10.85 / Max: 10.95Min: 9.38 / Avg: 9.49 / Max: 9.571. (CXX) g++ options: -O3 -march=native -rdynamic -lgomp -lpthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200No AVXAVXAVX2AVX-51215K30K45K60K75KSE +/- 193.34, N = 3SE +/- 18.80, N = 3SE +/- 17.85, N = 3SE +/- 52.62, N = 370098637426235262725-mno-avx-mno-avx2-mno-avx512f1. (CXX) g++ options: -O3 -march=native -fPIC -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxNo AVX11.9153.1165.4AVX12.1153.3164.8AVX212.5153.7165.0AVX-51212.0168.2182.1OpenBenchmarking.orgWatts, Fewer Is BetterCaffe 2020-02-13CPU Power Consumption Monitor501001502002501. No AVX: Approximate power consumption of 11429 Joules per run.2. AVX: Approximate power consumption of 10424 Joules per run.3. AVX2: Approximate power consumption of 10247 Joules per run.4. AVX-512: Approximate power consumption of 11267 Joules per run.
MinAvgMaxNo AVX29.065.372.0AVX30.067.274.0AVX232.068.376.0AVX-51230.069.179.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200No AVXAVXAVX2AVX-51212K24K36K48K60KMin: 69903 / Avg: 70098.33 / Max: 70485Min: 63708 / Avg: 63741.67 / Max: 63773Min: 62333 / Avg: 62352.33 / Max: 62388Min: 62631 / Avg: 62725 / Max: 628131. (CXX) g++ options: -O3 -march=native -fPIC -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KNo AVXAVXAVX2AVX-5121020304050SE +/- 0.08, N = 4SE +/- 0.05, N = 4SE +/- 0.40, N = 15SE +/- 0.14, N = 443.2643.1242.9544.02-mno-avx-mno-avx2-mno-avx512f1. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.0Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KNo AVXAVXAVX2AVX-5120.12440.24880.37320.49760.6220.5530.5450.5470.411
MinAvgMaxNo AVX11.978.399.8AVX12.179.0100.0AVX212.178.6100.7AVX-51212.1107.2138.5OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.0CPU Power Consumption Monitor40801201602001. No AVX: Approximate power consumption of 1468 Joules per run.2. AVX: Approximate power consumption of 1462 Joules per run.3. AVX2: Approximate power consumption of 1472 Joules per run.4. AVX-512: Approximate power consumption of 1983 Joules per run.
MinAvgMaxNo AVX31.046.353.0AVX34.048.856.0AVX234.048.858.0AVX-51234.053.767.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KNo AVXAVXAVX2AVX-512918273645Min: 43.08 / Avg: 43.26 / Max: 43.43Min: 43.02 / Avg: 43.12 / Max: 43.25Min: 39.99 / Avg: 42.95 / Max: 44.11Min: 43.8 / Avg: 44.02 / Max: 44.411. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KNo AVXAVXAVX2AVX-51248121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 316.4916.6916.5516.89-mno-avx-mno-avx2-mno-avx512f1. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KNo AVXAVXAVX2AVX-5120.02810.05620.08430.11240.14050.1230.1250.1230.090
MinAvgMaxNo AVX12.1133.8156.0AVX12.2134.1156.9AVX212.0134.2157.2AVX-51212.1188.6222.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.0CPU Power Consumption Monitor601201802403001. No AVX: Approximate power consumption of 5484 Joules per run.2. AVX: Approximate power consumption of 5496 Joules per run.3. AVX2: Approximate power consumption of 5500 Joules per run.4. AVX-512: Approximate power consumption of 7608 Joules per run.
MinAvgMaxNo AVX32.059.669.0AVX34.061.571.0AVX235.061.870.0AVX-51235.072.787.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KNo AVXAVXAVX2AVX-51248121620Min: 16.44 / Avg: 16.49 / Max: 16.51Min: 16.63 / Avg: 16.69 / Max: 16.73Min: 16.53 / Avg: 16.55 / Max: 16.57Min: 16.88 / Avg: 16.89 / Max: 16.91. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KNo AVXAVXAVX2AVX-512246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 37.487.627.587.92-mno-avx-mno-avx2-mno-avx512f1. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KNo AVXAVXAVX2AVX-5120.01170.02340.03510.04680.05850.0510.0520.0510.041
MinAvgMaxNo AVX12.2146.1174.6AVX12.5147.9188.1AVX212.5148.0178.6AVX-51212.4194.8246.1OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.0CPU Power Consumption Monitor601201802403001. No AVX: Approximate power consumption of 16174 Joules per run.2. AVX: Approximate power consumption of 16119 Joules per run.3. AVX2: Approximate power consumption of 16178 Joules per run.4. AVX-512: Approximate power consumption of 20581 Joules per run.
MinAvgMaxNo AVX37.064.473.0AVX38.068.180.0AVX237.067.777.0AVX-51239.077.591.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.0Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KNo AVXAVXAVX2AVX-5123691215Min: 7.45 / Avg: 7.48 / Max: 7.52Min: 7.6 / Avg: 7.62 / Max: 7.64Min: 7.57 / Avg: 7.58 / Max: 7.59Min: 7.86 / Avg: 7.92 / Max: 7.991. (CXX) g++ options: -O3 -march=native -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pNo AVXAVXAVX2AVX-512306090120150SE +/- 0.11, N = 8SE +/- 0.13, N = 8SE +/- 0.14, N = 8SE +/- 0.06, N = 8136.21137.53138.88139.72-mno-avx-mno-avx2-mno-avx512f1. (CC) gcc options: -O3 -march=native -fPIE -fPIC -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pNo AVXAVXAVX2AVX-5120.29540.59080.88621.18161.4771.2891.3011.3131.003
MinAvgMaxNo AVX12.3105.7200.1AVX12.3105.7203.5AVX212.3105.7203.3AVX-51212.4139.3276.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor701402102803501. No AVX: Approximate power consumption of 924 Joules per run.2. AVX: Approximate power consumption of 925 Joules per run.3. AVX2: Approximate power consumption of 912 Joules per run.4. AVX-512: Approximate power consumption of 1202 Joules per run.
MinAvgMaxNo AVX37.054.473.0AVX39.056.276.0AVX238.055.475.0AVX-51240.062.888.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pNo AVXAVXAVX2AVX-512306090120150Min: 135.9 / Avg: 136.21 / Max: 136.83Min: 137.08 / Avg: 137.53 / Max: 138.03Min: 138.34 / Avg: 138.88 / Max: 139.44Min: 139.44 / Avg: 139.72 / Max: 140.021. (CC) gcc options: -O3 -march=native -fPIE -fPIC -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pNo AVXAVXAVX2AVX-51260120180240300SE +/- 0.23, N = 10SE +/- 0.17, N = 10SE +/- 0.13, N = 10SE +/- 0.21, N = 10266.66268.38272.74272.03-mno-avx-mno-avx2-mno-avx512f1. (CC) gcc options: -O3 -march=native -fPIE -fPIC -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pNo AVXAVXAVX2AVX-5120.92051.8412.76153.6824.60254.0354.0244.0912.989
MinAvgMaxNo AVX12.166.1172.7AVX12.266.7173.7AVX212.166.7174.5AVX-51212.291.0248.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor601201802403001. No AVX: Approximate power consumption of 436 Joules per run.2. AVX: Approximate power consumption of 440 Joules per run.3. AVX2: Approximate power consumption of 440 Joules per run.4. AVX-512: Approximate power consumption of 592 Joules per run.
MinAvgMaxNo AVX33.043.065.0AVX35.045.465.0AVX234.044.464.0AVX-51236.049.580.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pNo AVXAVXAVX2AVX-51250100150200250Min: 265.6 / Avg: 266.66 / Max: 268.22Min: 267.62 / Avg: 268.38 / Max: 269.18Min: 271.99 / Avg: 272.74 / Max: 273.35Min: 271.13 / Avg: 272.03 / Max: 272.981. (CC) gcc options: -O3 -march=native -fPIE -fPIC -O2 -pie -rdynamic -lpthread -lrt

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterNo AVXAVXAVX2AVX-51230060090012001500SE +/- 0.22, N = 4SE +/- 0.96, N = 4SE +/- 0.81, N = 4SE +/- 1.20, N = 41387.811406.181452.061486.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterNo AVXAVXAVX2AVX-51261218243026.0026.2727.3126.19
MinAvgMaxNo AVX11.853.478.4AVX11.953.577.8AVX211.953.277.7AVX-51211.956.8101.6OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor204060801001. No AVX: Approximate power consumption of 1054 Joules per run.2. AVX: Approximate power consumption of 1044 Joules per run.3. AVX2: Approximate power consumption of 1024 Joules per run.4. AVX-512: Approximate power consumption of 1078 Joules per run.
MinAvgMaxNo AVX28.043.050.0AVX29.045.253.0AVX229.044.451.0AVX-51231.048.061.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor20406080100
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterNo AVXAVXAVX2AVX-51230060090012001500Min: 1387.17 / Avg: 1387.81 / Max: 1388.07Min: 1404.19 / Avg: 1406.18 / Max: 1408.29Min: 1450.35 / Avg: 1452.06 / Max: 1454.02Min: 1484.34 / Avg: 1486.22 / Max: 1489.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xAVX2AVX-51280160240320400SE +/- 0.10, N = 3SE +/- 4.66, N = 3333.16363.61-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xAVX2AVX-5120.89371.78742.68113.57484.46853.9722.991
MinAvgMaxAVX212.083.9176.2AVX-51212.1121.6256.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor701402102803501. AVX2: Approximate power consumption of 7045 Joules per run.2. AVX-512: Approximate power consumption of 9118 Joules per run.
MinAvgMaxAVX234.054.574.0AVX-51236.064.891.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.15.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xAVX2AVX-51260120180240300Min: 333.02 / Avg: 333.16 / Max: 333.35Min: 358.19 / Avg: 363.61 / Max: 372.891. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinAVX2AVX-51212002400360048006000SE +/- 7.37, N = 3SE +/- 14.60, N = 32491.105395.07-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinAVX2AVX-51230609012015063.41125.25
OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption MonitorAVX2AVX-51250100150200250Min: 12.04 / Avg: 39.29 / Max: 180.05Min: 11.92 / Avg: 43.07 / Max: 251.861. AVX2: Approximate power consumption of 28615 Joules per run.2. AVX-512: Approximate power consumption of 14358 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.15.5CPU Temperature MonitorAVX2AVX-51220406080100Min: 32 / Avg: 42.66 / Max: 68Min: 32 / Avg: 43.84 / Max: 90
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinAVX2AVX-5129001800270036004500Min: 2482.85 / Avg: 2491.1 / Max: 2505.8Min: 5366.6 / Avg: 5395.07 / Max: 5414.921. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinAVX2AVX-5123K6K9K12K15KSE +/- 3.00, N = 3SE +/- 743.82, N = 159756.4611983.00-mno-avx512f1. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinAVX2AVX-51270140210280350281.98320.70
MinAvgMaxAVX211.734.6137.9AVX-51211.937.4252.3OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor701402102803501. AVX2: Approximate power consumption of 8327 Joules per run.2. AVX-512: Approximate power consumption of 13511 Joules per run.
MinAvgMaxAVX228.038.658.0AVX-51231.042.980.0OpenBenchmarking.orgCelsius, Fewer Is BetterCpuminer-Opt 3.15.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinAVX2AVX-5122K4K6K8K10KMin: 9751.03 / Avg: 9756.46 / Max: 9761.39Min: 10890 / Avg: 11982.67 / Max: 215101. (CXX) g++ options: -O3 -march=native -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsNo AVXAVXAVX2AVX-51214002800420056007000SE +/- 1.35, N = 3SE +/- 7.57, N = 3SE +/- 2.22, N = 3SE +/- 3.23, N = 36307.136353.936324.106432.51-mno-avx-mno-avx2-mno-avx512f1. (CXX) g++ options: -O3 -march=native -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsNo AVXAVXAVX2AVX-5124080120160200168.78172.10178.58139.53
MinAvgMaxNo AVX11.937.440.4AVX11.936.939.2AVX211.735.438.6AVX-51211.946.162.1OpenBenchmarking.orgWatts, Fewer Is BetterCrypto++ 8.2CPU Power Consumption Monitor204060801001. No AVX: Approximate power consumption of 9729 Joules per run.2. AVX: Approximate power consumption of 9624 Joules per run.3. AVX2: Approximate power consumption of 9467 Joules per run.4. AVX-512: Approximate power consumption of 12017 Joules per run.
MinAvgMaxNo AVX32.048.651.0AVX33.048.552.0AVX228.043.947.0AVX-51232.054.565.0OpenBenchmarking.orgCelsius, Fewer Is BetterCrypto++ 8.2CPU Temperature Monitor20406080100
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsNo AVXAVXAVX2AVX-51211002200330044005500Min: 6304.88 / Avg: 6307.13 / Max: 6309.54Min: 6339.99 / Avg: 6353.93 / Max: 6366.02Min: 6319.71 / Avg: 6324.1 / Max: 6326.93Min: 6426.06 / Avg: 6432.51 / Max: 6436.11. (CXX) g++ options: -O3 -march=native -fPIC -pthread -pipe

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28No AVXAVXAVX2AVX-512510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 319.9419.0819.0518.49-mno-avx-mno-avx2-mno-avx512f1. (CC) gcc options: -O3 -march=native -pedantic -fvisibility=hidden
MinAvgMaxNo AVX12.130.736.5AVX12.030.636.1AVX211.726.135.0AVX-51212.240.450.0OpenBenchmarking.orgWatts, Fewer Is BetterRNNoise 2020-06-28CPU Power Consumption Monitor14284256701. No AVX: Approximate power consumption of 738 Joules per run.2. AVX: Approximate power consumption of 713 Joules per run.3. AVX2: Approximate power consumption of 774 Joules per run.4. AVX-512: Approximate power consumption of 915 Joules per run.
MinAvgMaxNo AVX34.044.750.0AVX34.045.750.0AVX229.037.843.0AVX-51235.051.558.0OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28CPU Temperature Monitor1632486480
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28No AVXAVXAVX2AVX-512510152025Min: 19.93 / Avg: 19.94 / Max: 19.96Min: 19.06 / Avg: 19.08 / Max: 19.09Min: 19.04 / Avg: 19.04 / Max: 19.05Min: 18.49 / Avg: 18.49 / Max: 18.51. (CC) gcc options: -O3 -march=native -pedantic -fvisibility=hidden

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisAVXAVX2AVX-5121428425670SE +/- 0.56, N = 3SE +/- 0.71, N = 3SE +/- 0.68, N = 363.5159.2857.07-mno-avx2-mno-avx512f1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msha -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -mrdrnd -mbmi -mbmi2 -madx -mmpx -mabm -O3 -std=c99 -pedantic -march=native -lm
MinAvgMaxAVX12.3159.4184.4AVX211.8148.4182.6AVX-51212.0229.3271.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed MrBayes Analysis 3.2.7CPU Power Consumption Monitor701402102803501. AVX: Approximate power consumption of 10785 Joules per run.2. AVX2: Approximate power consumption of 10385 Joules per run.3. AVX-512: Approximate power consumption of 13984 Joules per run.
MinAvgMaxAVX33.070.878.0AVX229.064.374.0AVX-51233.085.895.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MrBayes Analysis 3.2.7CPU Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisAVXAVX2AVX-5121224364860Min: 62.38 / Avg: 63.51 / Max: 64.13Min: 58 / Avg: 59.28 / Max: 60.47Min: 55.8 / Avg: 57.07 / Max: 58.111. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msha -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -mrdrnd -mbmi -mbmi2 -madx -mmpx -mabm -O3 -std=c99 -pedantic -march=native -lm

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.10Input: simple-H2ONo AVXAVXAVX2AVX-512612182430SE +/- 0.16, N = 3SE +/- 0.29, N = 3SE +/- 0.26, N = 3SE +/- 0.24, N = 324.9121.5822.3620.83-mno-avx-mno-avx2-mno-avx512f1. (CXX) g++ options: -O3 -march=native -fopenmp -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -fomit-frame-pointer -ffast-math -pthread -lm -ldl
MinAvgMaxNo AVX12.3155.8190.2AVX12.3159.5195.0AVX212.1152.3192.3AVX-51212.6198.2244.7OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.10CPU Power Consumption Monitor601201802403001. No AVX: Approximate power consumption of 4622 Joules per run.2. AVX: Approximate power consumption of 4147 Joules per run.3. AVX2: Approximate power consumption of 4162 Joules per run.4. AVX-512: Approximate power consumption of 5020 Joules per run.
MinAvgMaxNo AVX31.065.476.0AVX39.069.178.0AVX234.064.174.0AVX-51242.078.789.0OpenBenchmarking.orgCelsius, Fewer Is BetterQMCPACK 3.10CPU Temperature Monitor20406080100
OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.10Input: simple-H2ONo AVXAVXAVX2AVX-512612182430Min: 24.7 / Avg: 24.91 / Max: 25.23Min: 21.04 / Avg: 21.58 / Max: 22.04Min: 21.98 / Avg: 22.36 / Max: 22.85Min: 20.38 / Avg: 20.83 / Max: 21.221. (CXX) g++ options: -O3 -march=native -fopenmp -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -fomit-frame-pointer -ffast-math -pthread -lm -ldl

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringNo AVXAVXAVX2AVX-51250100150200250Min: 11.68 / Avg: 128.15 / Max: 266.6Min: 11.75 / Avg: 124.13 / Max: 265.19Min: 6.12 / Avg: 107.53 / Max: 264.45Min: 11.62 / Avg: 125.93 / Max: 292.4

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringNo AVXAVXAVX2AVX-51220406080100Min: 27 / Avg: 62.85 / Max: 93Min: 29 / Avg: 62.37 / Max: 94Min: 28 / Avg: 57.79 / Max: 93Min: 29 / Avg: 62.23 / Max: 95

No AVX

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native -mno-avx" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mno-avx"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-gcn/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-build-config=bootstrap-lto-lean --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x3c - Thermald 2.4.3
Python Notes: Python 3.9.2
Security Notes: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 3 April 2021 05:50 by user ronix.

AVX

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native -mno-avx2" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mno-avx2"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-gcn/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-build-config=bootstrap-lto-lean --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x3c - Thermald 2.4.3
Python Notes: Python 3.9.2
Security Notes: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 2 April 2021 18:32 by user ronix.

AVX2

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native -mno-avx512f" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mno-avx512f"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-gcn/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-build-config=bootstrap-lto-lean --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x3c - Thermald 2.4.3
Python Notes: Python 3.9.2
Security Notes: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 2 April 2021 05:17 by user ronix.

AVX-512

Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (0703 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 1000GB Western Digital WD_BLACK SN850 1TB, Graphics: AMD Radeon RX 6800/6800 XT / 6900 16GB (2575/1000MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: ASUS MG28U, Network: 2 x Intel I225-V + Intel Device 2725

OS: Ubuntu 21.04, Kernel: 5.12.0-051200rc3daily20210315-generic (x86_64) 20210314, Desktop: GNOME Shell 3.38.3, Display Server: X Server 1.20.10 + Wayland, OpenGL: 4.6 Mesa 21.1.0-devel (git-616720d 2021-03-16 hirsute-oibaf-ppa) (LLVM 12.0.0), Compiler: GCC 10.2.1 20210320, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native -mprefer-vector-width=512" DEBUGINFOD_URLS= CFLAGS="-O3 -march=native -mprefer-vector-width=512"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-DjbZbO/gcc-10-10.2.1/debian/tmp-gcn/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-build-config=bootstrap-lto-lean --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x3c - Thermald 2.4.3
Python Notes: Python 3.9.2
Security Notes: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 2 April 2021 11:36 by user ronix.