Core i9 10900K September Bench

Intel Core i9-10900K testing with a Gigabyte Z490 AORUS MASTER (F3 BIOS) and Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009219-SYST-COREI9141&sor.

Core i9 10900K September BenchProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionLinux 5.8.1Linux 5.8.10Linux 5.9-rc6Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads)Gigabyte Z490 AORUS MASTER (F3 BIOS)Intel Comet Lake PCH16GBSamsung SSD 970 EVO 250GBGigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1890/875MHz)Realtek ALC1220DELL P2415QIntel Device 15f3 + Intel Wi-Fi 6 AX201Ubuntu 20.045.8.1-050801-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.2.0-devel (git-ef67218 2020-07-07 focal-oibaf-ppa) (LLVM 10.0.1)OpenCL 1.1 Mesa 20.2.0-devel (git-c977567db6)1.2.131GCC 9.3.0ext43840x21605.8.10-050810-generic (x86_64)Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1900/875MHz)5.9.0-050900rc6-generic (x86_64) 20200920OpenBenchmarking.orgProcessor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8Python Details- Python 2.7.18rc1 + Python 3.8.2Security Details- Linux 5.8.1: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - 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: Not affected - 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: Not affected

Core i9 10900K September Benchglmark2: 1600 x 1200glmark2: 1920 x 1080glmark2: 1920 x 1200glmark2: 2560 x 1440glmark2: 3840 x 2160lczero: BLASlczero: Eigenlczero: Randnamd: ATPase Simulation - 327,506 Atomsincompact3d: Cylindermocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteinbuild-llvm: Time To Compilesystem-decompress-gzip: gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2gpaw: Carbon Nanotubemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenet_int8ncnn: CPU - mobilenet_v3ncnn: CPU - squeezenetncnn: CPU - mnasnetncnn: CPU - blazefacencnn: CPU - googlenet_int8ncnn: CPU - vgg16_int8ncnn: CPU - resnet18_int8ncnn: CPU - alexnetncnn: CPU - resnet50_int8ncnn: CPU - mobilenetv2_yolov3kripke: Linux 5.8.1Linux 5.8.10Linux 5.9-rc6778678307129508425603105172692271.24210242.6332241708.2398.463544.0222.4750.86516752723747101475501140511172442141063473.9204.54826.5232.9923.00230.80810.154.133.083.991.3128.60104.0115.4916.5753.3117.2311045683780278437136509225553125222687941.24099243.4158531718.3058.454539.4892.4740.87116755323753971480851143981173182141467474.0224.52726.4692.9273.04830.96710.064.122.984.031.3128.61103.8915.4916.5953.6417.316980007781778487154514326013055092697031.24629245.2357751708.3018.498533.2112.4510.87016750823750401473361141861175212140900473.9654.52426.4522.9603.03831.03310.044.132.993.991.3228.50104.0315.4316.6053.4817.1911471816OpenBenchmarking.org

GLmark2

Resolution: 1600 x 1200

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1600 x 1200Linux 5.9-rc6Linux 5.8.10Linux 5.8.12K4K6K8K10K781778027786

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.9-rc6Linux 5.8.10Linux 5.8.12K4K6K8K10K784878437830

GLmark2

Resolution: 1920 x 1200

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200Linux 5.9-rc6Linux 5.8.10Linux 5.8.115003000450060007500715471367129

GLmark2

Resolution: 2560 x 1440

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440Linux 5.9-rc6Linux 5.8.10Linux 5.8.111002200330044005500514350925084

GLmark2

Resolution: 3840 x 2160

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160Linux 5.9-rc6Linux 5.8.1Linux 5.8.106001200180024003000260125602555

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.8.10Linux 5.8.1Linux 5.9-rc670140210280350SE +/- 1.00, N = 3SE +/- 3.38, N = 3SE +/- 1.45, N = 3312310305

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.8.10Linux 5.8.1Linux 5.9-rc6110220330440550SE +/- 6.74, N = 3SE +/- 2.33, N = 3522517509

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.9-rc6Linux 5.8.1Linux 5.8.1060K120K180K240K300KSE +/- 76.34, N = 3SE +/- 352.11, N = 3SE +/- 95.72, N = 3269703269227268794

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.8.10Linux 5.8.1Linux 5.9-rc60.28040.56080.84121.12161.402SE +/- 0.00329, N = 3SE +/- 0.00315, N = 3SE +/- 0.00468, N = 31.240991.242101.24629

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.8.1Linux 5.8.10Linux 5.9-rc650100150200250SE +/- 0.24, N = 3SE +/- 0.59, N = 3SE +/- 2.33, N = 9242.63243.42245.24

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 5.8.1Linux 5.9-rc6Linux 5.8.104080120160200SE +/- 0.33, N = 3SE +/- 0.33, N = 3170170171

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsLinux 5.8.10Linux 5.9-rc6Linux 5.8.1246810SE +/- 0.018, N = 3SE +/- 0.021, N = 3SE +/- 0.021, N = 38.3058.3018.239

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.9-rc6Linux 5.8.1Linux 5.8.10246810SE +/- 0.071, N = 3SE +/- 0.069, N = 3SE +/- 0.110, N = 128.4988.4638.454

Timed LLVM Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.9-rc6Linux 5.8.10Linux 5.8.1120240360480600SE +/- 1.48, N = 3SE +/- 3.91, N = 3SE +/- 2.75, N = 3533.21539.49544.02

System GZIP Decompression

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.9-rc6Linux 5.8.10Linux 5.8.10.55691.11381.67072.22762.7845SE +/- 0.030, N = 4SE +/- 0.021, N = 3SE +/- 0.022, N = 32.4512.4742.475

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkLinux 5.8.10Linux 5.9-rc6Linux 5.8.10.1960.3920.5880.7840.98SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.8710.8700.865

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.9-rc6Linux 5.8.1Linux 5.8.1040K80K120K160K200KSE +/- 19.70, N = 3SE +/- 8.54, N = 3SE +/- 33.50, N = 3167508167527167553

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.8.1Linux 5.9-rc6Linux 5.8.10500K1000K1500K2000K2500KSE +/- 70.95, N = 3SE +/- 270.06, N = 3SE +/- 52.39, N = 3237471023750402375397

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.9-rc6Linux 5.8.1Linux 5.8.1030K60K90K120K150KSE +/- 33.79, N = 3SE +/- 284.63, N = 3SE +/- 526.71, N = 3147336147550148085

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.8.1Linux 5.9-rc6Linux 5.8.1020K40K60K80K100KSE +/- 76.49, N = 3SE +/- 44.29, N = 3SE +/- 115.36, N = 3114051114186114398

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.8.1Linux 5.8.10Linux 5.9-rc630K60K90K120K150KSE +/- 117.69, N = 3SE +/- 128.97, N = 3SE +/- 206.17, N = 3117244117318117521

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.9-rc6Linux 5.8.1Linux 5.8.10500K1000K1500K2000K2500KSE +/- 127.02, N = 3SE +/- 148.47, N = 3SE +/- 108.68, N = 3214090021410632141467

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8.1Linux 5.9-rc6Linux 5.8.10100200300400500SE +/- 0.30, N = 3SE +/- 0.13, N = 3SE +/- 0.45, N = 3473.92473.97474.02

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.9-rc6Linux 5.8.10Linux 5.8.11.02332.04663.06994.09325.1165SE +/- 0.024, N = 3SE +/- 0.020, N = 3SE +/- 0.044, N = 34.5244.5274.548MIN: 4.44 / MAX: 7.49MIN: 4.41 / MAX: 6.11MIN: 4.41 / MAX: 12.5

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.9-rc6Linux 5.8.10Linux 5.8.1612182430SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 326.4526.4726.52MIN: 26.3 / MAX: 38.92MIN: 26.18 / MAX: 39.15MIN: 26.04 / MAX: 38.41

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.8.10Linux 5.9-rc6Linux 5.8.10.67321.34642.01962.69283.366SE +/- 0.015, N = 3SE +/- 0.010, N = 3SE +/- 0.071, N = 32.9272.9602.992MIN: 2.84 / MAX: 4.64MIN: 2.88 / MAX: 8.83MIN: 2.79 / MAX: 15.39

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.8.1Linux 5.9-rc6Linux 5.8.100.68581.37162.05742.74323.429SE +/- 0.004, N = 3SE +/- 0.011, N = 3SE +/- 0.006, N = 33.0023.0383.048MIN: 2.94 / MAX: 5.18MIN: 2.97 / MAX: 3.86MIN: 3.01 / MAX: 3.82

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.8.1Linux 5.8.10Linux 5.9-rc6714212835SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 330.8130.9731.03MIN: 30.46 / MAX: 43.1MIN: 30.71 / MAX: 51.22MIN: 30.74 / MAX: 43.97

NCNN

Target: CPU - Model: squeezenet_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.9-rc6Linux 5.8.10Linux 5.8.13691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 310.0410.0610.15MIN: 9.93 / MAX: 11.7MIN: 9.98 / MAX: 11.42MIN: 9.99 / MAX: 11.69

NCNN

Target: CPU - Model: mobilenet_v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8.10Linux 5.8.1Linux 5.9-rc60.92931.85862.78793.71724.6465SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 34.124.134.13MIN: 3.89 / MAX: 5.61MIN: 3.93 / MAX: 5.86MIN: 4.07 / MAX: 5.85

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8.10Linux 5.9-rc6Linux 5.8.10.6931.3862.0792.7723.465SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 32.982.993.08MIN: 2.82 / MAX: 3.72MIN: 2.82 / MAX: 5.38MIN: 2.88 / MAX: 3.17

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8.1Linux 5.9-rc6Linux 5.8.100.90681.81362.72043.62724.534SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 33.993.994.03MIN: 3.83 / MAX: 4.38MIN: 3.84 / MAX: 4.11MIN: 3.9 / MAX: 5.27

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.8.1Linux 5.8.10Linux 5.9-rc60.2970.5940.8911.1881.485SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 31.311.311.32MIN: 1.25 / MAX: 1.34MIN: 1.25 / MAX: 2.13MIN: 1.24 / MAX: 2.57

NCNN

Target: CPU - Model: googlenet_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.9-rc6Linux 5.8.1Linux 5.8.10714212835SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 328.5028.6028.61MIN: 28.27 / MAX: 30.04MIN: 28.3 / MAX: 38.98MIN: 28.32 / MAX: 29.5

NCNN

Target: CPU - Model: vgg16_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8.10Linux 5.8.1Linux 5.9-rc620406080100SE +/- 0.32, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3103.89104.01104.03MIN: 103.15 / MAX: 122.39MIN: 103.53 / MAX: 113.79MIN: 103.38 / MAX: 123.22

NCNN

Target: CPU - Model: resnet18_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.9-rc6Linux 5.8.1Linux 5.8.1048121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 315.4315.4915.49MIN: 15.31 / MAX: 16.22MIN: 15.34 / MAX: 22.59MIN: 15.36 / MAX: 16.28

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8.1Linux 5.8.10Linux 5.9-rc648121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 316.5716.5916.60MIN: 16.43 / MAX: 17.13MIN: 16.5 / MAX: 17.46MIN: 16.44 / MAX: 23.5

NCNN

Target: CPU - Model: resnet50_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.8.1Linux 5.9-rc6Linux 5.8.101224364860SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.22, N = 353.3153.4853.64MIN: 52.87 / MAX: 63.31MIN: 53.01 / MAX: 57.76MIN: 52.91 / MAX: 54.87

NCNN

Target: CPU - Model: mobilenetv2_yolov3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.9-rc6Linux 5.8.1Linux 5.8.1048121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 317.1917.2317.31MIN: 16.85 / MAX: 18MIN: 16.8 / MAX: 18.53MIN: 16.89 / MAX: 19.19

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.9-rc6Linux 5.8.1Linux 5.8.102M4M6M8M10MSE +/- 282704.06, N = 8SE +/- 695158.47, N = 7SE +/- 119466.07, N = 311471816110456836980007

Phoronix Test Suite v10.8.5