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&grr&rdt .
Core i9 10900K September Bench Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Vulkan Compiler File-System Screen Resolution Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads) Gigabyte Z490 AORUS MASTER (F3 BIOS) Intel Comet Lake PCH 16GB Samsung SSD 970 EVO 250GB Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1890/875MHz) Realtek ALC1220 DELL P2415Q Intel Device 15f3 + Intel Wi-Fi 6 AX201 Ubuntu 20.04 5.8.1-050801-generic (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.6 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) 1.2.131 GCC 9.3.0 ext4 3840x2160 5.8.10-050810-generic (x86_64) Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1900/875MHz) 5.9.0-050900rc6-generic (x86_64) 20200920 OpenBenchmarking.org Processor Details - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8 Python Details - Python 2.7.18rc1 + Python 3.8.2 Security 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 Bench kripke: lammps: 20k Atoms build-llvm: Time To Compile gpaw: Carbon Nanotube incompact3d: Cylinder lczero: BLAS lczero: Eigen lczero: Rand gromacs: Water Benchmark mocassin: Dust 2D tau100.0 ncnn: CPU - mobilenetv2_yolov3 ncnn: CPU - resnet50_int8 ncnn: CPU - alexnet ncnn: CPU - resnet18_int8 ncnn: CPU - vgg16_int8 ncnn: CPU - googlenet_int8 ncnn: CPU - blazeface ncnn: CPU - mnasnet ncnn: CPU - squeezenet ncnn: CPU - mobilenet_v3 ncnn: CPU - squeezenet_int8 tensorflow-lite: Inception V4 glmark2: 1600 x 1200 glmark2: 3840 x 2160 glmark2: 2560 x 1440 glmark2: 1920 x 1080 glmark2: 1920 x 1200 tensorflow-lite: Inception ResNet V2 mnn: inception-v3 mnn: mobilenet-v1-1.0 mnn: MobileNetV2_224 mnn: resnet-v2-50 mnn: SqueezeNetV1.0 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Quant tensorflow-lite: Mobilenet Float tensorflow-lite: SqueezeNet namd: ATPase Simulation - 327,506 Atoms lammps: Rhodopsin Protein system-decompress-gzip: Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 11045683 8.239 544.022 473.920 242.633224 310 517 269227 0.865 170 17.23 53.31 16.57 15.49 104.01 28.60 1.31 3.99 3.08 4.13 10.15 2374710 7786 2560 5084 7830 7129 2141063 30.808 3.002 2.992 26.523 4.548 147550 117244 114051 167527 1.24210 8.463 2.475 6980007 8.305 539.489 474.022 243.415853 312 522 268794 0.871 171 17.31 53.64 16.59 15.49 103.89 28.61 1.31 4.03 2.98 4.12 10.06 2375397 7802 2555 5092 7843 7136 2141467 30.967 3.048 2.927 26.469 4.527 148085 117318 114398 167553 1.24099 8.454 2.474 11471816 8.301 533.211 473.965 245.235775 305 509 269703 0.870 170 17.19 53.48 16.60 15.43 104.03 28.50 1.32 3.99 2.99 4.13 10.04 2375040 7817 2601 5143 7848 7154 2140900 31.033 3.038 2.960 26.452 4.524 147336 117521 114186 167508 1.24629 8.498 2.451 OpenBenchmarking.org
Kripke OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 2M 4M 6M 8M 10M SE +/- 695158.47, N = 7 SE +/- 119466.07, N = 3 SE +/- 282704.06, N = 8 11045683 6980007 11471816
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 2 4 6 8 10 SE +/- 0.021, N = 3 SE +/- 0.018, N = 3 SE +/- 0.021, N = 3 8.239 8.305 8.301
Timed LLVM Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 10.0 Time To Compile Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 120 240 360 480 600 SE +/- 2.75, N = 3 SE +/- 3.91, N = 3 SE +/- 1.48, N = 3 544.02 539.49 533.21
GPAW Input: Carbon Nanotube OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 100 200 300 400 500 SE +/- 0.30, N = 3 SE +/- 0.45, N = 3 SE +/- 0.13, N = 3 473.92 474.02 473.97
Incompact3D Input: Cylinder OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 50 100 150 200 250 SE +/- 0.24, N = 3 SE +/- 0.59, N = 3 SE +/- 2.33, N = 9 242.63 243.42 245.24
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 70 140 210 280 350 SE +/- 3.38, N = 3 SE +/- 1.00, N = 3 SE +/- 1.45, N = 3 310 312 305
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 110 220 330 440 550 SE +/- 6.74, N = 3 SE +/- 2.33, N = 3 517 522 509
LeelaChessZero Backend: Random OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Random Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 60K 120K 180K 240K 300K SE +/- 352.11, N = 3 SE +/- 95.72, N = 3 SE +/- 76.34, N = 3 269227 268794 269703
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.1 Water Benchmark Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 0.196 0.392 0.588 0.784 0.98 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 0.865 0.871 0.870
Monte Carlo Simulations of Ionised Nebulae Input: Dust 2D tau100.0 OpenBenchmarking.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 40 80 120 160 200 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 170 171 170
NCNN Target: CPU - Model: mobilenetv2_yolov3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenetv2_yolov3 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 17.23 17.31 17.19 MIN: 16.8 / MAX: 18.53 MIN: 16.89 / MAX: 19.19 MIN: 16.85 / MAX: 18
NCNN Target: CPU - Model: resnet50_int8 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50_int8 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 12 24 36 48 60 SE +/- 0.08, N = 3 SE +/- 0.22, N = 3 SE +/- 0.13, N = 3 53.31 53.64 53.48 MIN: 52.87 / MAX: 63.31 MIN: 52.91 / MAX: 54.87 MIN: 53.01 / MAX: 57.76
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 16.57 16.59 16.60 MIN: 16.43 / MAX: 17.13 MIN: 16.5 / MAX: 17.46 MIN: 16.44 / MAX: 23.5
NCNN Target: CPU - Model: resnet18_int8 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18_int8 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 15.49 15.49 15.43 MIN: 15.34 / MAX: 22.59 MIN: 15.36 / MAX: 16.28 MIN: 15.31 / MAX: 16.22
NCNN Target: CPU - Model: vgg16_int8 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16_int8 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.32, N = 3 SE +/- 0.09, N = 3 104.01 103.89 104.03 MIN: 103.53 / MAX: 113.79 MIN: 103.15 / MAX: 122.39 MIN: 103.38 / MAX: 123.22
NCNN Target: CPU - Model: googlenet_int8 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet_int8 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 7 14 21 28 35 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 28.60 28.61 28.50 MIN: 28.3 / MAX: 38.98 MIN: 28.32 / MAX: 29.5 MIN: 28.27 / MAX: 30.04
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 0.297 0.594 0.891 1.188 1.485 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 1.31 1.31 1.32 MIN: 1.25 / MAX: 1.34 MIN: 1.25 / MAX: 2.13 MIN: 1.24 / MAX: 2.57
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 0.9068 1.8136 2.7204 3.6272 4.534 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 3.99 4.03 3.99 MIN: 3.83 / MAX: 4.38 MIN: 3.9 / MAX: 5.27 MIN: 3.84 / MAX: 4.11
NCNN Target: CPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 0.693 1.386 2.079 2.772 3.465 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 3.08 2.98 2.99 MIN: 2.88 / MAX: 3.17 MIN: 2.82 / MAX: 3.72 MIN: 2.82 / MAX: 5.38
NCNN Target: CPU - Model: mobilenet_v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet_v3 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 0.9293 1.8586 2.7879 3.7172 4.6465 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.13 4.12 4.13 MIN: 3.93 / MAX: 5.86 MIN: 3.89 / MAX: 5.61 MIN: 4.07 / MAX: 5.85
NCNN Target: CPU - Model: squeezenet_int8 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet_int8 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 10.15 10.06 10.04 MIN: 9.99 / MAX: 11.69 MIN: 9.98 / MAX: 11.42 MIN: 9.93 / MAX: 11.7
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 500K 1000K 1500K 2000K 2500K SE +/- 70.95, N = 3 SE +/- 52.39, N = 3 SE +/- 270.06, N = 3 2374710 2375397 2375040
GLmark2 Resolution: 1600 x 1200 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1600 x 1200 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 2K 4K 6K 8K 10K 7786 7802 7817
GLmark2 Resolution: 3840 x 2160 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 3840 x 2160 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 600 1200 1800 2400 3000 2560 2555 2601
GLmark2 Resolution: 2560 x 1440 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 2560 x 1440 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 1100 2200 3300 4400 5500 5084 5092 5143
GLmark2 Resolution: 1920 x 1080 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1920 x 1080 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 2K 4K 6K 8K 10K 7830 7843 7848
GLmark2 Resolution: 1920 x 1200 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1920 x 1200 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 1500 3000 4500 6000 7500 7129 7136 7154
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 500K 1000K 1500K 2000K 2500K SE +/- 148.47, N = 3 SE +/- 108.68, N = 3 SE +/- 127.02, N = 3 2141063 2141467 2140900
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 30.81 30.97 31.03 MIN: 30.46 / MAX: 43.1 MIN: 30.71 / MAX: 51.22 MIN: 30.74 / MAX: 43.97
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 0.6858 1.3716 2.0574 2.7432 3.429 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.011, N = 3 3.002 3.048 3.038 MIN: 2.94 / MAX: 5.18 MIN: 3.01 / MAX: 3.82 MIN: 2.97 / MAX: 3.86
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 0.6732 1.3464 2.0196 2.6928 3.366 SE +/- 0.071, N = 3 SE +/- 0.015, N = 3 SE +/- 0.010, N = 3 2.992 2.927 2.960 MIN: 2.79 / MAX: 15.39 MIN: 2.84 / MAX: 4.64 MIN: 2.88 / MAX: 8.83
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 6 12 18 24 30 SE +/- 0.23, N = 3 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 26.52 26.47 26.45 MIN: 26.04 / MAX: 38.41 MIN: 26.18 / MAX: 39.15 MIN: 26.3 / MAX: 38.92
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 1.0233 2.0466 3.0699 4.0932 5.1165 SE +/- 0.044, N = 3 SE +/- 0.020, N = 3 SE +/- 0.024, N = 3 4.548 4.527 4.524 MIN: 4.41 / MAX: 12.5 MIN: 4.41 / MAX: 6.11 MIN: 4.44 / MAX: 7.49
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 30K 60K 90K 120K 150K SE +/- 284.63, N = 3 SE +/- 526.71, N = 3 SE +/- 33.79, N = 3 147550 148085 147336
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 30K 60K 90K 120K 150K SE +/- 117.69, N = 3 SE +/- 128.97, N = 3 SE +/- 206.17, N = 3 117244 117318 117521
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 20K 40K 60K 80K 100K SE +/- 76.49, N = 3 SE +/- 115.36, N = 3 SE +/- 44.29, N = 3 114051 114398 114186
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 40K 80K 120K 160K 200K SE +/- 8.54, N = 3 SE +/- 33.50, N = 3 SE +/- 19.70, N = 3 167527 167553 167508
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 0.2804 0.5608 0.8412 1.1216 1.402 SE +/- 0.00315, N = 3 SE +/- 0.00329, N = 3 SE +/- 0.00468, N = 3 1.24210 1.24099 1.24629
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 2 4 6 8 10 SE +/- 0.069, N = 3 SE +/- 0.110, N = 12 SE +/- 0.071, N = 3 8.463 8.454 8.498
System GZIP Decompression OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression Linux 5.8.1 Linux 5.8.10 Linux 5.9-rc6 0.5569 1.1138 1.6707 2.2276 2.7845 SE +/- 0.022, N = 3 SE +/- 0.021, N = 3 SE +/- 0.030, N = 4 2.475 2.474 2.451
Phoronix Test Suite v10.8.5