EPYC 7702 Sunny

AMD EPYC 7702 64-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and llvmpipe on Ubuntu 20.10 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 2101184-PTS-EPYC770264
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EPYC 7702 SunnyProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution122a4AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads)ASRockRack EPYCD8 (P2.10 BIOS)AMD Starship/Matisse126GB280GB INTEL SSDPED1D280GAllvmpipeAMD Starship/MatisseVE2282 x Intel I350Ubuntu 20.105.10.2-051002-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits)GCC 10.2.0ext41920x1080OpenBenchmarking.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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830101c Python Details- Python 3.8.6Security Details- 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC 7702 Sunnyrav1e: 1rav1e: 5rav1e: 6rav1e: 10onnx: super-resolution-10 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: fcn-resnet101-11 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUonnx: yolov4 - OpenMP CPUlammps: Rhodopsin Proteinlammps: 20k Atomssynthmark: VoiceMark_100lulesh: tnn: CPU - SqueezeNet v1.1mnn: resnet-v2-50tnn: CPU - MobileNet v2mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0build-godot: Time To Compilecloverleaf: Lagrangian-Eulerian Hydrodynamics122a40.3320.9081.1782.341215748677425121118.24624.630644.46714396.471304.44728.647353.68438.9943.3315.0848.36266.32718.580.3340.9081.1782.3457223820117.63124.713644.64914392.747304.58828.564369.31739.5773.2285.1148.34866.29820.460.3340.9031.1742.371209541327023119917.49924.231643.64814315.958304.81928.340363.75839.5423.3045.0428.70566.51820.9027.07OpenBenchmarking.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: 1122a0.07520.15040.22560.30080.376SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3320.3340.334
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 1122a12345Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.33 / Avg: 0.33 / Max: 0.34Min: 0.33 / Avg: 0.33 / Max: 0.34

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5122a0.20430.40860.61290.81721.0215SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.9080.9080.903
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5122a246810Min: 0.91 / Avg: 0.91 / Max: 0.91Min: 0.91 / Avg: 0.91 / Max: 0.91Min: 0.9 / Avg: 0.9 / Max: 0.91

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6122a0.26510.53020.79531.06041.3255SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 31.1781.1781.174
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6122a246810Min: 1.17 / Avg: 1.18 / Max: 1.19Min: 1.18 / Avg: 1.18 / Max: 1.18Min: 1.17 / Avg: 1.17 / Max: 1.18

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10122a0.53351.0671.60052.1342.6675SE +/- 0.012, N = 3SE +/- 0.007, N = 3SE +/- 0.029, N = 32.3412.3452.371
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10122a246810Min: 2.32 / Avg: 2.34 / Max: 2.37Min: 2.33 / Avg: 2.34 / Max: 2.35Min: 2.34 / Avg: 2.37 / Max: 2.43

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPU12a5001000150020002500SE +/- 28.81, N = 4SE +/- 18.77, N = 3215720951. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPU12a400800120016002000Min: 2096 / Avg: 2156.88 / Max: 2235Min: 2058 / Avg: 2094.83 / Max: 2119.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPU12a10002000300040005000SE +/- 231.65, N = 12SE +/- 215.45, N = 12486741321. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPU12a8001600240032004000Min: 3224.5 / Avg: 4866.5 / Max: 5808Min: 2610.5 / Avg: 4132 / Max: 5200.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPU122a1632486480SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 37472701. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPU122a1428425670Min: 73.5 / Avg: 73.67 / Max: 74Min: 71.5 / Avg: 71.5 / Max: 71.5Min: 70 / Avg: 70.33 / Max: 70.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPU122a50100150200250SE +/- 3.22, N = 12SE +/- 0.73, N = 3SE +/- 2.53, N = 122512382311. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPU122a50100150200250Min: 230.5 / Avg: 251 / Max: 268Min: 236.5 / Avg: 237.83 / Max: 239Min: 217.5 / Avg: 231.17 / Max: 2451. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPU122a50100150200250SE +/- 1.45, N = 3SE +/- 0.44, N = 3SE +/- 0.44, N = 32112011991. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPU122a4080120160200Min: 208.5 / Avg: 211.17 / Max: 213.5Min: 200 / Avg: 200.83 / Max: 201.5Min: 198 / Avg: 198.67 / Max: 199.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein122a48121620SE +/- 0.55, N = 13SE +/- 0.24, N = 12SE +/- 0.24, N = 318.2517.6317.501. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein122a510152025Min: 16.91 / Avg: 18.25 / Max: 24.26Min: 16.88 / Avg: 17.63 / Max: 19.99Min: 17.13 / Avg: 17.5 / Max: 17.961. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms122a612182430SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 324.6324.7124.231. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms122a612182430Min: 24.58 / Avg: 24.63 / Max: 24.66Min: 24.59 / Avg: 24.71 / Max: 24.87Min: 24.13 / Avg: 24.23 / Max: 24.311. (CXX) g++ options: -O3 -pthread -lm

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100122a140280420560700SE +/- 0.44, N = 3SE +/- 0.11, N = 3SE +/- 0.33, N = 3644.47644.65643.651. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100122a110220330440550Min: 643.6 / Avg: 644.47 / Max: 644.95Min: 644.43 / Avg: 644.65 / Max: 644.8Min: 643.04 / Avg: 643.65 / Max: 644.161. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3122a3K6K9K12K15KSE +/- 96.69, N = 3SE +/- 111.33, N = 3SE +/- 25.04, N = 314396.4714392.7514315.961. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3122a2K4K6K8K10KMin: 14203.2 / Avg: 14396.47 / Max: 14498.61Min: 14192.22 / Avg: 14392.75 / Max: 14576.84Min: 14272.32 / Avg: 14315.96 / Max: 14359.051. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1122a70140210280350SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.37, N = 3304.45304.59304.82MIN: 303.75 / MAX: 305.53MIN: 303.74 / MAX: 305.38MIN: 303.72 / MAX: 320.851. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1122a50100150200250Min: 304.26 / Avg: 304.45 / Max: 304.6Min: 304.33 / Avg: 304.59 / Max: 304.86Min: 304.39 / Avg: 304.82 / Max: 305.551. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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: resnet-v2-50122a714212835SE +/- 0.15, N = 15SE +/- 0.25, N = 3SE +/- 0.05, N = 1528.6528.5628.34MIN: 27.13 / MAX: 39.22MIN: 27.48 / MAX: 33.5MIN: 27.16 / MAX: 32.531. (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-v2-50122a612182430Min: 28.09 / Avg: 28.65 / Max: 30.29Min: 28.3 / Avg: 28.56 / Max: 29.07Min: 28.07 / Avg: 28.34 / Max: 28.751. (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

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2122a80160240320400SE +/- 3.83, N = 3SE +/- 3.76, N = 3SE +/- 2.21, N = 3353.68369.32363.76MIN: 315.66 / MAX: 447.76MIN: 313.18 / MAX: 460.92MIN: 314.2 / MAX: 474.091. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2122a70140210280350Min: 349.3 / Avg: 353.68 / Max: 361.32Min: 362.24 / Avg: 369.32 / Max: 375.04Min: 359.98 / Avg: 363.76 / Max: 367.621. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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: inception-v3122a918273645SE +/- 0.38, N = 15SE +/- 1.17, N = 3SE +/- 0.35, N = 1538.9939.5839.54MIN: 35.51 / MAX: 46.58MIN: 35.74 / MAX: 45.57MIN: 35.89 / MAX: 48.531. (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-v3122a816243240Min: 36.94 / Avg: 38.99 / Max: 43Min: 37.44 / Avg: 39.58 / Max: 41.49Min: 38.07 / Avg: 39.54 / Max: 42.641. (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-v1-1.0122a0.74951.4992.24852.9983.7475SE +/- 0.012, N = 15SE +/- 0.022, N = 3SE +/- 0.009, N = 153.3313.2283.304MIN: 3.14 / MAX: 4.06MIN: 3.11 / MAX: 5.38MIN: 3.13 / MAX: 6.391. (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-v1-1.0122a246810Min: 3.27 / Avg: 3.33 / Max: 3.42Min: 3.19 / Avg: 3.23 / Max: 3.27Min: 3.24 / Avg: 3.3 / Max: 3.361. (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_224122a1.15072.30143.45214.60285.7535SE +/- 0.037, N = 15SE +/- 0.100, N = 3SE +/- 0.033, N = 155.0845.1145.042MIN: 4.78 / MAX: 6.22MIN: 4.85 / MAX: 6.71MIN: 4.78 / MAX: 8.11. (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_224122a246810Min: 4.92 / Avg: 5.08 / Max: 5.35Min: 4.97 / Avg: 5.11 / Max: 5.3Min: 4.91 / Avg: 5.04 / Max: 5.371. (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.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.0122a246810SE +/- 0.170, N = 15SE +/- 0.059, N = 3SE +/- 0.239, N = 158.3628.3488.705MIN: 7.54 / MAX: 11.23MIN: 8.1 / MAX: 9.98MIN: 7.5 / MAX: 14.181. (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: SqueezeNetV1.0122a3691215Min: 7.77 / Avg: 8.36 / Max: 9.92Min: 8.23 / Avg: 8.35 / Max: 8.42Min: 7.71 / Avg: 8.71 / Max: 11.131. (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

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile122a1530456075SE +/- 0.30, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 366.3366.3066.52
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile122a1326395265Min: 65.73 / Avg: 66.33 / Max: 66.64Min: 66.04 / Avg: 66.3 / Max: 66.57Min: 66.44 / Avg: 66.52 / Max: 66.57

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics122a4612182430SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.29, N = 718.5820.4620.9027.071. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics122a4612182430Min: 18.41 / Avg: 18.58 / Max: 18.73Min: 20.18 / Avg: 20.46 / Max: 20.7Min: 20.86 / Avg: 20.9 / Max: 20.95Min: 26.07 / Avg: 27.07 / Max: 28.291. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp