5220r-2p-tests

2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and ASPEED 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 2008241-FI-5220R2PTE78
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r1
August 24 2020
  56 Minutes
r1a
August 24 2020
  1 Hour, 21 Minutes
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August 24 2020
  2 Hours, 4 Minutes
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August 24 2020
  2 Hours, 16 Minutes
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5220r-2p-tests OpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads)TYAN S7106 (V2.01.B40 BIOS)Intel Sky Lake-E DMI3 Registers94GB500GB Samsung SSD 860ASPEEDVE2282 x Intel I210 + 2 x QLogic cLOM8214 1/10GbEUbuntu 20.045.8.0-rc2-phx-fgkaslr (x86_64) 20200624GNOME Shell 3.36.1GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.8GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopsDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolution5220r-2p-tests BenchmarksSystem Logs- --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,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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x5002f01- r1: Python 3.8.2- 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: Mitigation of TSX disabled

5220r-2p-tests namd: ATPase Simulation - 327,506 Atomsopm: Flow MPI Norne - 1opm: Flow MPI Norne - 2opm: Flow MPI Norne - 4opm: Flow MPI Norne - 8opm: Flow MPI Norne - 16opm: Flow MPI Norne - 32tensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivegeekbench: CPU Multi Coregeekbench: CPU Multi Core - Gaussian Blurgeekbench: CPU Multi Core - Face Detectiongeekbench: CPU Multi Core - Horizon Detectiongeekbench: CPU Single Coregeekbench: CPU Single Core - Gaussian Blurgeekbench: CPU Single Core - Face Detectiongeekbench: CPU Single Core - Horizon Detectionr1r1ar2r30.64964431.432261.334145.265111.14491.9559110.67691.792593.797090520.0126575311310660523.163560.311154075.837.2311.3286.51235731.36253.5672.3109641.18.0023.70.64740442.931258.981141.449110.90092.041793.387589898.0126186311483860900.964293.211117035.847.2211.3286.51239901.35247.5705.2108840.78.0123.70.64799445.392259.498142.141110.80991.746393.207889952.7126722011631660824.264510.711170475.857.2311.3286.46239811.34248.6672.8109040.77.8823.7OpenBenchmarking.org

NAMD

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atomsr1r2r30.14620.29240.43860.58480.731SE +/- 0.00068, N = 3SE +/- 0.00131, N = 3SE +/- 0.00364, N = 30.649640.647400.64799

Open Porous Media

This is a test of Open Porous Media, a set of open-source tools concerning simulation of flow and transport of fluids in porous media. This test profile depends upon MPI/Flow already being installed on the system. Install instructions at https://opm-project.org/?page_id=36. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 1r1r2r3100200300400500SE +/- 2.54, N = 3SE +/- 3.13, N = 3SE +/- 0.08, N = 3431.43442.93445.391. flow 2020.04

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 2r1r2r360120180240300SE +/- 0.79, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3261.33258.98259.501. flow 2020.04

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 4r1r2r3306090120150SE +/- 0.48, N = 3SE +/- 0.87, N = 3SE +/- 0.86, N = 3145.27141.45142.141. flow 2020.04

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 8r1r1ar2r320406080100SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3111.14110.68110.90110.811. flow 2020.04

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 16r1r1ar2r320406080100SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 391.9691.7992.0491.751. flow 2020.04

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 32r1ar2r320406080100SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 393.8093.3993.211. flow 2020.04

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetr1ar2r320K40K60K80K100KSE +/- 499.63, N = 3SE +/- 85.77, N = 3SE +/- 370.44, N = 390520.089898.089952.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4r1ar2r3300K600K900K1200K1500KSE +/- 11533.03, N = 3SE +/- 3829.08, N = 3SE +/- 4285.01, N = 3126575312618631267220

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobiler1ar2r320K40K60K80K100KSE +/- 1550.70, N = 4SE +/- 1431.69, N = 3SE +/- 1423.74, N = 15113106114838116316

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Floatr1ar2r313K26K39K52K65KSE +/- 115.54, N = 3SE +/- 106.87, N = 3SE +/- 131.23, N = 360523.160900.960824.2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quantr1ar2r314K28K42K56K70KSE +/- 137.33, N = 3SE +/- 202.88, N = 3SE +/- 282.11, N = 363560.364293.264510.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2r1ar2r3200K400K600K800K1000KSE +/- 3949.35, N = 3SE +/- 1474.24, N = 3SE +/- 1000.77, N = 3111540711117031117047

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fastr1ar2r31.31632.63263.94895.26526.5815SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.835.845.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Mediumr1ar2r3246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.237.227.231. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thoroughr1ar2r33691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 311.3211.3211.321. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustiver1ar2r320406080100SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 386.5186.5186.461. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Geekbench

This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Multi Corer1ar2r35K10K15K20K25KSE +/- 163.17, N = 3SE +/- 124.06, N = 3SE +/- 192.48, N = 3235732399023981

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Gaussian Blurr1ar2r30.3060.6120.9181.2241.53SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 31.361.351.34

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Face Detectionr1ar2r360120180240300SE +/- 4.01, N = 3SE +/- 1.09, N = 3SE +/- 3.93, N = 3253.5247.5248.6

OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Horizon Detectionr1ar2r3150300450600750SE +/- 24.36, N = 3SE +/- 8.11, N = 3SE +/- 30.86, N = 3672.3705.2672.8

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Single Corer1ar2r32004006008001000SE +/- 2.96, N = 3SE +/- 1.00, N = 3109610881090

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5Test: CPU Single Core - Gaussian Blurr1ar2r3918273645SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 341.140.740.7

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5Test: CPU Single Core - Face Detectionr1ar2r3246810SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 38.008.017.88

OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5Test: CPU Single Core - Horizon Detectionr1ar2r3612182430SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 323.723.723.7