Xeon 5220R 2P September

2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009219-FI-XEON5220R43&grs&sor.

Xeon 5220R 2P SeptemberProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionLinux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc62 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 860llvmpipeVE2282 x Intel I210 + 2 x QLogic cLOM8214 1/10GbEUbuntu 20.045.8.0-rc2-phx-fgkaslr (x86_64) 20200624GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits)GCC 9.3.0ext41920x10805.8.10-050810-generic (x86_64)5.9.0-050900rc6-generic (x86_64) 20200920OpenBenchmarking.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,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: 0x5002f01Python Details- Python 3.8.2Security Details- Linux 5.8: 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 - Linux 5.8.10: itlb_multihit: KVM: Mitigation of VMX disabled + 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 - Linux 5.8.10 Repeat: itlb_multihit: KVM: Mitigation of VMX disabled + 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 - Linux 5.9-rc6: itlb_multihit: KVM: Mitigation of VMX disabled + 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

Xeon 5220R 2P Septembercompress-zstd: 19ncnn: CPU - vgg16_int8aom-av1: Speed 6 Two-Passaom-av1: Speed 0 Two-Passtensorflow-lite: NASNet Mobileaom-av1: Speed 8 Realtimelczero: BLASlczero: Eigenncnn: CPU - mnasnetncnn: CPU - mobilenet_v3ncnn: CPU - squeezenet_int8ncnn: CPU - blazefacencnn: CPU - googlenet_int8incompact3d: Cylinderblender: Barbershop - CPU-Onlytensorflow-lite: Mobilenet Floataom-av1: Speed 6 Realtimesystem-decompress-gzip: ncnn: CPU - alexnetncnn: CPU - mobilenetv2_yolov3tensorflow-lite: Inception ResNet V2aom-av1: Speed 4 Two-Passmnn: inception-v3tensorflow-lite: SqueezeNetmnn: mobilenet-v1-1.0namd: ATPase Simulation - 327,506 Atomsmnn: resnet-v2-50gpaw: Carbon Nanotubeblender: Fishy Cat - CPU-Onlylammps: 20k Atomsgromacs: Water Benchmarkncnn: CPU - resnet50_int8lczero: Randblender: BMW27 - CPU-Onlytensorflow-lite: Inception V4tensorflow-lite: Mobilenet Quantblender: Classroom - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlymocassin: Dust 2D tau100.0kripke: ncnn: CPU - resnet18_int8ncnn: CPU - squeezenetmnn: MobileNetV2_224mnn: SqueezeNetV1.0compress-zstd: 3lammps: Rhodopsin ProteinLinux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6101.7101.222.920.2711574523.361865169210.4710.8219.844.9352.86194.247845252.9160961.310.933.29311.1324.1211163471.9333.47990562.26.2530.6098835.994101.68384.1717.3313.41877.2812738060.50127227064070.3173.45193.662124609201323.7310.646.2779.7964464.615.747102.499.752.950.2711689222.851846168310.3910.8920.345.0153.68191.265960251.1361134.110.863.34311.2924.1511286431.9333.46889780.36.2330.6136435.920101.00384.1217.4033.39877.5712679460.33126893363909.2173.49194.0321224.3610.745.9659.3494378.815.23699.1103.642.850.2711989223.551844166310.6211.1020.074.9854.02190.191167248.1561597.110.913.29411.2324.3411232071.9133.14690679.96.2370.6146636.168101.40484.0317.4313.40177.5512743360.26126932364008.9173.71193.632124467768123.8510.545.8869.3214413.816.52597.499.782.960.2611846923.651805164010.6911.0120.264.8952.83191.167089247.9960582.811.033.34211.1524.4411195301.9333.46689781.26.1990.6132736.020101.63784.5517.4343.41077.1612729960.24126819764042.7173.32193.602124433716423.3410.616.5859.8544561.716.417OpenBenchmarking.org

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.8.10Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc620406080100SE +/- 0.58, N = 3SE +/- 1.54, N = 15SE +/- 1.12, N = 15SE +/- 1.33, N = 15102.4101.799.197.41. (CC) gcc options: -O3 -pthread -lz -llzma

NCNN

Target: CPU - Model: vgg16_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8.10Linux 5.9-rc6Linux 5.8Linux 5.8.10 Repeat20406080100SE +/- 1.29, N = 4SE +/- 1.62, N = 6SE +/- 0.17, N = 3SE +/- 0.19, N = 399.7599.78101.22103.64MIN: 83.9 / MAX: 267.74MIN: 84.76 / MAX: 255.32MIN: 93.22 / MAX: 311.84MIN: 94.45 / MAX: 312.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AOM AV1

Encoder Mode: Speed 6 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.9-rc6Linux 5.8.10Linux 5.8Linux 5.8.10 Repeat0.6661.3321.9982.6643.33SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 32.962.952.922.851. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc60.06080.12160.18240.24320.304SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.270.270.270.261. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.8Linux 5.8.10Linux 5.9-rc6Linux 5.8.10 Repeat30K60K90K120K150KSE +/- 1308.57, N = 6SE +/- 1161.72, N = 15SE +/- 1167.34, N = 15SE +/- 1034.72, N = 3115745116892118469119892

AOM AV1

Encoder Mode: Speed 8 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8Linux 5.8.10612182430SE +/- 0.07, N = 3SE +/- 0.25, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 323.6523.5523.3622.851. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6400800120016002000SE +/- 24.22, N = 3SE +/- 14.31, N = 3SE +/- 16.04, N = 3SE +/- 24.09, N = 918651846184418051. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6400800120016002000SE +/- 22.45, N = 3SE +/- 22.55, N = 3SE +/- 17.94, N = 3SE +/- 24.02, N = 416921683166316401. (CXX) g++ options: -flto -pthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8.10Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc63691215SE +/- 0.15, N = 4SE +/- 0.22, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 610.3910.4710.6210.69MIN: 9.87 / MAX: 11.12MIN: 9.8 / MAX: 32.14MIN: 10.15 / MAX: 13.97MIN: 9.88 / MAX: 12.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet_v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8Linux 5.8.10Linux 5.9-rc6Linux 5.8.10 Repeat3691215SE +/- 0.28, N = 3SE +/- 0.16, N = 4SE +/- 0.14, N = 6SE +/- 0.19, N = 310.8210.8911.0111.10MIN: 10.3 / MAX: 13.48MIN: 10.33 / MAX: 12.03MIN: 10.27 / MAX: 32.28MIN: 10.59 / MAX: 13.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.10510152025SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.25, N = 6SE +/- 0.26, N = 419.8420.0720.2620.34MIN: 19.32 / MAX: 24.96MIN: 19.49 / MAX: 65.4MIN: 19.27 / MAX: 226.94MIN: 19.36 / MAX: 25.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.101.12732.25463.38194.50925.6365SE +/- 0.05, N = 6SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 44.894.934.985.01MIN: 4.63 / MAX: 5.63MIN: 4.68 / MAX: 6.29MIN: 4.68 / MAX: 7.26MIN: 4.65 / MAX: 8.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.9-rc6Linux 5.8Linux 5.8.10Linux 5.8.10 Repeat1224364860SE +/- 0.47, N = 6SE +/- 0.47, N = 3SE +/- 0.24, N = 4SE +/- 0.24, N = 352.8352.8653.6854.02MIN: 50.87 / MAX: 77.69MIN: 51.69 / MAX: 55.26MIN: 52.57 / MAX: 58.26MIN: 53.09 / MAX: 90.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.10Linux 5.84080120160200SE +/- 0.51, N = 3SE +/- 0.58, N = 3SE +/- 0.81, N = 3SE +/- 2.59, N = 12190.19191.17191.27194.251. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10Linux 5.860120180240300SE +/- 0.18, N = 3SE +/- 0.29, N = 3SE +/- 2.05, N = 3SE +/- 4.33, N = 3247.99248.15251.13252.91

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.9-rc6Linux 5.8Linux 5.8.10Linux 5.8.10 Repeat13K26K39K52K65KSE +/- 70.45, N = 3SE +/- 110.84, N = 3SE +/- 150.01, N = 3SE +/- 711.00, N = 360582.860961.361134.161597.1

AOM AV1

Encoder Mode: Speed 6 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.103691215SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 311.0310.9310.9110.861. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

System GZIP Decompression

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.8Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.100.75221.50442.25663.00883.761SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.050, N = 14SE +/- 0.046, N = 143.2933.2943.3423.343

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8Linux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.103691215SE +/- 0.21, N = 3SE +/- 0.09, N = 6SE +/- 0.14, N = 3SE +/- 0.22, N = 411.1311.1511.2311.29MIN: 10.68 / MAX: 12.96MIN: 10.78 / MAX: 13.71MIN: 10.92 / MAX: 33.28MIN: 10.85 / MAX: 13.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenetv2_yolov3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6612182430SE +/- 0.08, N = 3SE +/- 0.31, N = 4SE +/- 0.41, N = 3SE +/- 0.24, N = 624.1224.1524.3424.44MIN: 23.73 / MAX: 63.66MIN: 23.24 / MAX: 28.49MIN: 23.39 / MAX: 57.49MIN: 23.69 / MAX: 49.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.8Linux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10200K400K600K800K1000KSE +/- 3011.41, N = 3SE +/- 4118.40, N = 3SE +/- 5388.64, N = 3SE +/- 5550.84, N = 31116347111953011232071128643

AOM AV1

Encoder Mode: Speed 4 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.9-rc6Linux 5.8.10Linux 5.8Linux 5.8.10 Repeat0.43430.86861.30291.73722.1715SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 31.931.931.931.911. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8.10Linux 5.8816243240SE +/- 0.17, N = 15SE +/- 0.18, N = 15SE +/- 0.14, N = 15SE +/- 0.21, N = 1533.1533.4733.4733.48MIN: 30.82 / MAX: 149.69MIN: 31.01 / MAX: 122.37MIN: 31.98 / MAX: 119.46MIN: 30.23 / MAX: 159.211. (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

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.8.10Linux 5.9-rc6Linux 5.8Linux 5.8.10 Repeat20K40K60K80K100KSE +/- 143.18, N = 3SE +/- 157.63, N = 3SE +/- 611.66, N = 3SE +/- 173.90, N = 389780.389781.290562.290679.9

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.9-rc6Linux 5.8.10Linux 5.8.10 RepeatLinux 5.8246810SE +/- 0.012, N = 15SE +/- 0.033, N = 15SE +/- 0.032, N = 15SE +/- 0.013, N = 156.1996.2336.2376.253MIN: 5.76 / MAX: 6.63MIN: 5.74 / MAX: 13.46MIN: 5.77 / MAX: 6.8MIN: 5.8 / MAX: 12.891. (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

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.8Linux 5.9-rc6Linux 5.8.10Linux 5.8.10 Repeat0.13830.27660.41490.55320.6915SE +/- 0.00213, N = 3SE +/- 0.00224, N = 3SE +/- 0.00294, N = 3SE +/- 0.00273, N = 30.609880.613270.613640.61466

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.8.10Linux 5.8Linux 5.9-rc6Linux 5.8.10 Repeat816243240SE +/- 0.11, N = 15SE +/- 0.15, N = 15SE +/- 0.15, N = 15SE +/- 0.23, N = 1535.9235.9936.0236.17MIN: 34.6 / MAX: 129.7MIN: 33.47 / MAX: 121.85MIN: 33.86 / MAX: 145.23MIN: 34.35 / MAX: 124.961. (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

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.820406080100SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3101.00101.40101.64101.681. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyLinux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc620406080100SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.29, N = 384.0384.1284.1784.55

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10Linux 5.848121620SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 317.4317.4317.4017.331. (CXX) g++ options: -O3 -pthread -lm

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkLinux 5.8Linux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.100.76911.53822.30733.07643.8455SE +/- 0.011, N = 3SE +/- 0.019, N = 3SE +/- 0.013, N = 3SE +/- 0.006, N = 33.4183.4103.4013.3981. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

NCNN

Target: CPU - Model: resnet50_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.1020406080100SE +/- 0.26, N = 6SE +/- 0.04, N = 3SE +/- 0.72, N = 3SE +/- 0.85, N = 477.1677.2877.5577.57MIN: 74.05 / MAX: 127.59MIN: 76.47 / MAX: 79.52MIN: 76.26 / MAX: 80.75MIN: 74.67 / MAX: 158.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.8.10 RepeatLinux 5.8Linux 5.9-rc6Linux 5.8.1030K60K90K120K150KSE +/- 515.69, N = 3SE +/- 68.90, N = 3SE +/- 245.54, N = 3SE +/- 494.96, N = 31274331273801272991267941. (CXX) g++ options: -flto -pthread

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8.10Linux 5.81428425670SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.22, N = 360.2460.2660.3360.50

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.9-rc6Linux 5.8.10Linux 5.8.10 RepeatLinux 5.8300K600K900K1200K1500KSE +/- 5400.93, N = 3SE +/- 7085.91, N = 3SE +/- 10105.46, N = 3SE +/- 4723.69, N = 31268197126893312693231272270

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc6Linux 5.814K28K42K56K70KSE +/- 308.49, N = 3SE +/- 110.03, N = 3SE +/- 210.26, N = 3SE +/- 246.92, N = 363909.264008.964042.764070.3

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8Linux 5.8.10Linux 5.8.10 Repeat4080120160200SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.67, N = 3SE +/- 0.20, N = 3173.32173.45173.49173.71

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyLinux 5.9-rc6Linux 5.8.10 RepeatLinux 5.8Linux 5.8.104080120160200SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 3193.60193.63193.66194.03

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.8Linux 5.8.10Linux 5.8.10 RepeatLinux 5.9-rc650100150200250SE +/- 0.33, N = 3SE +/- 0.33, N = 32122122122121. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.8Linux 5.8.10 RepeatLinux 5.9-rc610M20M30M40M50MSE +/- 587155.46, N = 3SE +/- 894676.95, N = 12SE +/- 1022587.54, N = 124609201344677681443371641. (CXX) g++ options: -O3 -fopenmp

NCNN

Target: CPU - Model: resnet18_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.10612182430SE +/- 0.41, N = 6SE +/- 0.59, N = 3SE +/- 0.74, N = 3SE +/- 0.82, N = 423.3423.7323.8524.36MIN: 21.47 / MAX: 83.96MIN: 22.3 / MAX: 69.96MIN: 22.44 / MAX: 58.08MIN: 22.19 / MAX: 65.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8Linux 5.8.103691215SE +/- 0.21, N = 3SE +/- 0.17, N = 6SE +/- 0.54, N = 3SE +/- 0.30, N = 410.5410.6110.6410.74MIN: 10.04 / MAX: 11.31MIN: 9.87 / MAX: 12.16MIN: 9.87 / MAX: 13.32MIN: 9.95 / MAX: 12.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc6246810SE +/- 0.080, N = 15SE +/- 0.114, N = 15SE +/- 0.123, N = 15SE +/- 0.121, N = 155.8865.9656.2776.585MIN: 4.71 / MAX: 26.32MIN: 4.66 / MAX: 26.78MIN: 4.66 / MAX: 23.38MIN: 4.99 / MAX: 24.371. (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

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.8.10 RepeatLinux 5.8.10Linux 5.8Linux 5.9-rc63691215SE +/- 0.211, N = 15SE +/- 0.189, N = 15SE +/- 0.224, N = 15SE +/- 0.204, N = 159.3219.3499.7969.854MIN: 7.63 / MAX: 24.04MIN: 7.99 / MAX: 15.98MIN: 7.4 / MAX: 25.02MIN: 7.46 / MAX: 20.051. (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

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.9-rc6Linux 5.8Linux 5.8.10 RepeatLinux 5.8.1010002000300040005000SE +/- 58.92, N = 15SE +/- 62.21, N = 4SE +/- 20.52, N = 3SE +/- 69.44, N = 154561.74464.64413.84378.81. (CC) gcc options: -O3 -pthread -lz -llzma

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.8.10 RepeatLinux 5.9-rc6Linux 5.8Linux 5.8.1048121620SE +/- 0.17, N = 15SE +/- 0.16, N = 15SE +/- 0.21, N = 4SE +/- 0.52, N = 1516.5316.4215.7515.241. (CXX) g++ options: -O3 -pthread -lm

Phoronix Test Suite v10.8.5