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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009219-SYST-COREI9141
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 4 Tests
Fortran Tests 3 Tests
HPC - High Performance Computing 11 Tests
Machine Learning 4 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 5 Tests
Multi-Core 4 Tests
NVIDIA GPU Compute 3 Tests
OpenMPI Tests 5 Tests
Python Tests 3 Tests
Scientific Computing 7 Tests
Server CPU Tests 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Linux 5.8.1
September 20 2020
  6 Hours, 56 Minutes
Linux 5.8.10
September 20 2020
  6 Hours, 26 Minutes
Linux 5.9-rc6
September 21 2020
  7 Hours, 35 Minutes
Invert Hiding All Results Option
  6 Hours, 59 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

Linux 5.8.1

Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1890/875MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel Device 15f3 + Intel Wi-Fi 6 AX201

OS: Ubuntu 20.04, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.2.0-devel (git-ef67218 2020-07-07 focal-oibaf-ppa) (LLVM 10.0.1), OpenCL: OpenCL 1.1 Mesa 20.2.0-devel (git-c977567db6), Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

OS: Ubuntu 20.04, Kernel: 5.8.10-050810-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.2.0-devel (git-ef67218 2020-07-07 focal-oibaf-ppa) (LLVM 10.0.1), OpenCL: OpenCL 1.1 Mesa 20.2.0-devel (git-c977567db6), Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1900/875MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel Device 15f3 + Intel Wi-Fi 6 AX201

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.2.0-devel (git-ef67218 2020-07-07 focal-oibaf-ppa) (LLVM 10.0.1), OpenCL: OpenCL 1.1 Mesa 20.2.0-devel (git-c977567db6), Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

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

Linux 5.8.1Linux 5.8.10Linux 5.9-rc6Result OverviewPhoronix Test Suite100%116%132%148%KripkeTimed LLVM CompilationLeelaChessZeroIncompact3DSystem GZIP DecompressionGLmark2GROMACSLAMMPS Molecular Dynamics SimulatorMonte Carlo Simulations of Ionised NebulaeNAMDNCNNMobile Neural NetworkTensorFlow LiteGPAW

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

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1600 x 1200Linux 5.8.1Linux 5.8.10Linux 5.9-rc62K4K6K8K10K778678027817

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.8.1Linux 5.8.10Linux 5.9-rc62K4K6K8K10K783078437848

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200Linux 5.8.1Linux 5.8.10Linux 5.9-rc615003000450060007500712971367154

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440Linux 5.8.1Linux 5.8.10Linux 5.9-rc611002200330044005500508450925143

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160Linux 5.8.1Linux 5.8.10Linux 5.9-rc66001200180024003000256025552601

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.8.1Linux 5.8.10Linux 5.9-rc670140210280350SE +/- 3.38, N = 3SE +/- 1.00, N = 3SE +/- 1.45, N = 3310312305
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.8.1Linux 5.8.10Linux 5.9-rc660120180240300Min: 306 / Avg: 310.33 / Max: 317Min: 310 / Avg: 312 / Max: 313Min: 302 / Avg: 304.67 / Max: 307

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.8.1Linux 5.8.10Linux 5.9-rc6110220330440550SE +/- 6.74, N = 3SE +/- 2.33, N = 3517522509
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.8.1Linux 5.8.10Linux 5.9-rc690180270360450Min: 504 / Avg: 516.67 / Max: 527Min: 505 / Avg: 508.67 / Max: 513

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.8.1Linux 5.8.10Linux 5.9-rc660K120K180K240K300KSE +/- 352.11, N = 3SE +/- 95.72, N = 3SE +/- 76.34, N = 3269227268794269703
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.8.1Linux 5.8.10Linux 5.9-rc650K100K150K200K250KMin: 268542 / Avg: 269227 / Max: 269711Min: 268646 / Avg: 268793.67 / Max: 268973Min: 269550 / Avg: 269702.67 / Max: 269780

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.8.1Linux 5.8.10Linux 5.9-rc60.28040.56080.84121.12161.402SE +/- 0.00315, N = 3SE +/- 0.00329, N = 3SE +/- 0.00468, N = 31.242101.240991.24629
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.8.1Linux 5.8.10Linux 5.9-rc6246810Min: 1.24 / Avg: 1.24 / Max: 1.25Min: 1.23 / Avg: 1.24 / Max: 1.25Min: 1.24 / Avg: 1.25 / Max: 1.26

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.8.1Linux 5.8.10Linux 5.9-rc64080120160200Min: 242.24 / Avg: 242.63 / Max: 243.08Min: 242.41 / Avg: 243.42 / Max: 244.44Min: 242.1 / Avg: 245.24 / Max: 263.81

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.8.1Linux 5.8.10Linux 5.9-rc64080120160200SE +/- 0.33, N = 3SE +/- 0.33, N = 3170171170
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.8.1Linux 5.8.10Linux 5.9-rc6306090120150Min: 170 / Avg: 170.33 / Max: 171Min: 170 / Avg: 170.67 / Max: 171

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 24Aug2020Model: 20k AtomsLinux 5.8.1Linux 5.8.10Linux 5.9-rc6246810SE +/- 0.021, N = 3SE +/- 0.018, N = 3SE +/- 0.021, N = 38.2398.3058.301
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsLinux 5.8.1Linux 5.8.10Linux 5.9-rc63691215Min: 8.21 / Avg: 8.24 / Max: 8.28Min: 8.29 / Avg: 8.31 / Max: 8.34Min: 8.28 / Avg: 8.3 / Max: 8.34

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.8.1Linux 5.8.10Linux 5.9-rc6246810SE +/- 0.069, N = 3SE +/- 0.110, N = 12SE +/- 0.071, N = 38.4638.4548.498
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.8.1Linux 5.8.10Linux 5.9-rc63691215Min: 8.34 / Avg: 8.46 / Max: 8.58Min: 7.26 / Avg: 8.45 / Max: 8.64Min: 8.36 / Avg: 8.5 / Max: 8.6

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.8.1Linux 5.8.10Linux 5.9-rc6120240360480600SE +/- 2.75, N = 3SE +/- 3.91, N = 3SE +/- 1.48, N = 3544.02539.49533.21
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.8.1Linux 5.8.10Linux 5.9-rc6100200300400500Min: 538.64 / Avg: 544.02 / Max: 547.69Min: 531.87 / Avg: 539.49 / Max: 544.85Min: 531.36 / Avg: 533.21 / Max: 536.14

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.8.1Linux 5.8.10Linux 5.9-rc60.55691.11381.67072.22762.7845SE +/- 0.022, N = 3SE +/- 0.021, N = 3SE +/- 0.030, N = 42.4752.4742.451
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.8.1Linux 5.8.10Linux 5.9-rc6246810Min: 2.45 / Avg: 2.47 / Max: 2.52Min: 2.45 / Avg: 2.47 / Max: 2.52Min: 2.37 / Avg: 2.45 / Max: 2.52

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkLinux 5.8.1Linux 5.8.10Linux 5.9-rc60.1960.3920.5880.7840.98SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.8650.8710.870
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.1Water BenchmarkLinux 5.8.1Linux 5.8.10Linux 5.9-rc6246810Min: 0.86 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.87

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: SqueezeNetLinux 5.8.1Linux 5.8.10Linux 5.9-rc640K80K120K160K200KSE +/- 8.54, N = 3SE +/- 33.50, N = 3SE +/- 19.70, N = 3167527167553167508
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.8.1Linux 5.8.10Linux 5.9-rc630K60K90K120K150KMin: 167517 / Avg: 167527 / Max: 167544Min: 167491 / Avg: 167553 / Max: 167606Min: 167480 / Avg: 167508 / Max: 167546

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.8.1Linux 5.8.10Linux 5.9-rc6500K1000K1500K2000K2500KSE +/- 70.95, N = 3SE +/- 52.39, N = 3SE +/- 270.06, N = 3237471023753972375040
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.8.1Linux 5.8.10Linux 5.9-rc6400K800K1200K1600K2000KMin: 2374570 / Avg: 2374710 / Max: 2374800Min: 2375330 / Avg: 2375396.67 / Max: 2375500Min: 2374760 / Avg: 2375040 / Max: 2375580

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.8.1Linux 5.8.10Linux 5.9-rc630K60K90K120K150KSE +/- 284.63, N = 3SE +/- 526.71, N = 3SE +/- 33.79, N = 3147550148085147336
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.8.1Linux 5.8.10Linux 5.9-rc630K60K90K120K150KMin: 147142 / Avg: 147550.33 / Max: 148098Min: 147228 / Avg: 148085 / Max: 149044Min: 147278 / Avg: 147335.67 / Max: 147395

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.8.1Linux 5.8.10Linux 5.9-rc620K40K60K80K100KSE +/- 76.49, N = 3SE +/- 115.36, N = 3SE +/- 44.29, N = 3114051114398114186
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.8.1Linux 5.8.10Linux 5.9-rc620K40K60K80K100KMin: 113951 / Avg: 114050.67 / Max: 114201Min: 114205 / Avg: 114398 / Max: 114604Min: 114103 / Avg: 114186.33 / Max: 114254

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
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.8.1Linux 5.8.10Linux 5.9-rc620K40K60K80K100KMin: 117010 / Avg: 117244 / Max: 117383Min: 117110 / Avg: 117317.67 / Max: 117554Min: 117146 / Avg: 117521 / Max: 117857

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.8.1Linux 5.8.10Linux 5.9-rc6500K1000K1500K2000K2500KSE +/- 148.47, N = 3SE +/- 108.68, N = 3SE +/- 127.02, N = 3214106321414672140900
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.8.1Linux 5.8.10Linux 5.9-rc6400K800K1200K1600K2000KMin: 2140770 / Avg: 2141063.33 / Max: 2141250Min: 2141250 / Avg: 2141466.67 / Max: 2141590Min: 2140680 / Avg: 2140900 / Max: 2141120

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8.1Linux 5.8.10Linux 5.9-rc6100200300400500SE +/- 0.30, N = 3SE +/- 0.45, N = 3SE +/- 0.13, N = 3473.92474.02473.97
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8.1Linux 5.8.10Linux 5.9-rc680160240320400Min: 473.33 / Avg: 473.92 / Max: 474.22Min: 473.15 / Avg: 474.02 / Max: 474.59Min: 473.75 / Avg: 473.97 / Max: 474.2

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 2020-09-17Model: SqueezeNetV1.0Linux 5.8.1Linux 5.8.10Linux 5.9-rc61.02332.04663.06994.09325.1165SE +/- 0.044, N = 3SE +/- 0.020, N = 3SE +/- 0.024, N = 34.5484.5274.524MIN: 4.41 / MAX: 12.5MIN: 4.41 / MAX: 6.11MIN: 4.44 / MAX: 7.49
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.8.1Linux 5.8.10Linux 5.9-rc6246810Min: 4.47 / Avg: 4.55 / Max: 4.62Min: 4.5 / Avg: 4.53 / Max: 4.57Min: 4.5 / Avg: 4.52 / Max: 4.57

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.8.1Linux 5.8.10Linux 5.9-rc6612182430SE +/- 0.23, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 326.5226.4726.45MIN: 26.04 / MAX: 38.41MIN: 26.18 / MAX: 39.15MIN: 26.3 / MAX: 38.92
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.8.1Linux 5.8.10Linux 5.9-rc6612182430Min: 26.14 / Avg: 26.52 / Max: 26.94Min: 26.25 / Avg: 26.47 / Max: 26.72Min: 26.43 / Avg: 26.45 / Max: 26.47

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.8.1Linux 5.8.10Linux 5.9-rc60.67321.34642.01962.69283.366SE +/- 0.071, N = 3SE +/- 0.015, N = 3SE +/- 0.010, N = 32.9922.9272.960MIN: 2.79 / MAX: 15.39MIN: 2.84 / MAX: 4.64MIN: 2.88 / MAX: 8.83
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.8.1Linux 5.8.10Linux 5.9-rc6246810Min: 2.86 / Avg: 2.99 / Max: 3.1Min: 2.9 / Avg: 2.93 / Max: 2.95Min: 2.94 / Avg: 2.96 / Max: 2.98

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.8.1Linux 5.8.10Linux 5.9-rc60.68581.37162.05742.74323.429SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.011, N = 33.0023.0483.038MIN: 2.94 / MAX: 5.18MIN: 3.01 / MAX: 3.82MIN: 2.97 / MAX: 3.86
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.8.1Linux 5.8.10Linux 5.9-rc6246810Min: 3 / Avg: 3 / Max: 3.01Min: 3.04 / Avg: 3.05 / Max: 3.06Min: 3.02 / Avg: 3.04 / Max: 3.06

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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.8.1Linux 5.8.10Linux 5.9-rc6714212835Min: 30.76 / Avg: 30.81 / Max: 30.88Min: 30.86 / Avg: 30.97 / Max: 31.09Min: 31.01 / Avg: 31.03 / Max: 31.06

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.8.1Linux 5.8.10Linux 5.9-rc63691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.1510.0610.04MIN: 9.99 / MAX: 11.69MIN: 9.98 / MAX: 11.42MIN: 9.93 / MAX: 11.7
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.8.1Linux 5.8.10Linux 5.9-rc63691215Min: 10.11 / Avg: 10.15 / Max: 10.2Min: 10.04 / Avg: 10.06 / Max: 10.08Min: 10.01 / Avg: 10.04 / Max: 10.06

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8.1Linux 5.8.10Linux 5.9-rc60.92931.85862.78793.71724.6465SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.134.124.13MIN: 3.93 / MAX: 5.86MIN: 3.89 / MAX: 5.61MIN: 4.07 / MAX: 5.85
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8.1Linux 5.8.10Linux 5.9-rc6246810Min: 4.11 / Avg: 4.13 / Max: 4.16Min: 4.1 / Avg: 4.12 / Max: 4.14Min: 4.12 / Avg: 4.13 / Max: 4.14

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8.1Linux 5.8.10Linux 5.9-rc60.6931.3862.0792.7723.465SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 33.082.982.99MIN: 2.88 / MAX: 3.17MIN: 2.82 / MAX: 3.72MIN: 2.82 / MAX: 5.38
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8.1Linux 5.8.10Linux 5.9-rc6246810Min: 2.98 / Avg: 3.08 / Max: 3.14Min: 2.91 / Avg: 2.98 / Max: 3.03Min: 2.89 / Avg: 2.99 / Max: 3.05

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8.1Linux 5.8.10Linux 5.9-rc60.90681.81362.72043.62724.534SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 33.994.033.99MIN: 3.83 / MAX: 4.38MIN: 3.9 / MAX: 5.27MIN: 3.84 / MAX: 4.11
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8.1Linux 5.8.10Linux 5.9-rc6246810Min: 3.95 / Avg: 3.99 / Max: 4.01Min: 3.99 / Avg: 4.03 / Max: 4.05Min: 3.87 / Avg: 3.99 / Max: 4.06

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.8.1Linux 5.8.10Linux 5.9-rc6246810Min: 1.3 / Avg: 1.31 / Max: 1.31Min: 1.28 / Avg: 1.31 / Max: 1.34Min: 1.3 / Avg: 1.32 / Max: 1.33

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.8.1Linux 5.8.10Linux 5.9-rc6714212835SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 328.6028.6128.50MIN: 28.3 / MAX: 38.98MIN: 28.32 / MAX: 29.5MIN: 28.27 / MAX: 30.04
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.8.1Linux 5.8.10Linux 5.9-rc6612182430Min: 28.47 / Avg: 28.6 / Max: 28.7Min: 28.46 / Avg: 28.61 / Max: 28.91Min: 28.45 / Avg: 28.5 / Max: 28.55

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8.1Linux 5.8.10Linux 5.9-rc620406080100SE +/- 0.11, N = 3SE +/- 0.32, N = 3SE +/- 0.09, N = 3104.01103.89104.03MIN: 103.53 / MAX: 113.79MIN: 103.15 / MAX: 122.39MIN: 103.38 / MAX: 123.22
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8.1Linux 5.8.10Linux 5.9-rc620406080100Min: 103.79 / Avg: 104.01 / Max: 104.13Min: 103.39 / Avg: 103.89 / Max: 104.48Min: 103.86 / Avg: 104.03 / Max: 104.15

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.8.1Linux 5.8.10Linux 5.9-rc648121620SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 315.4915.4915.43MIN: 15.34 / MAX: 22.59MIN: 15.36 / MAX: 16.28MIN: 15.31 / MAX: 16.22
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.8.1Linux 5.8.10Linux 5.9-rc648121620Min: 15.47 / Avg: 15.49 / Max: 15.5Min: 15.45 / Avg: 15.49 / Max: 15.57Min: 15.39 / Avg: 15.43 / Max: 15.47

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8.1Linux 5.8.10Linux 5.9-rc648121620Min: 16.51 / Avg: 16.57 / Max: 16.61Min: 16.56 / Avg: 16.59 / Max: 16.61Min: 16.51 / Avg: 16.6 / Max: 16.67

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.8.1Linux 5.8.10Linux 5.9-rc61224364860SE +/- 0.08, N = 3SE +/- 0.22, N = 3SE +/- 0.13, N = 353.3153.6453.48MIN: 52.87 / MAX: 63.31MIN: 52.91 / MAX: 54.87MIN: 53.01 / MAX: 57.76
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.8.1Linux 5.8.10Linux 5.9-rc61122334455Min: 53.16 / Avg: 53.31 / Max: 53.43Min: 53.22 / Avg: 53.64 / Max: 53.99Min: 53.23 / Avg: 53.48 / Max: 53.62

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8.1Linux 5.8.10Linux 5.9-rc648121620SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 317.2317.3117.19MIN: 16.8 / MAX: 18.53MIN: 16.89 / MAX: 19.19MIN: 16.85 / MAX: 18
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8.1Linux 5.8.10Linux 5.9-rc648121620Min: 17.2 / Avg: 17.23 / Max: 17.25Min: 17.21 / Avg: 17.31 / Max: 17.47Min: 17.16 / Avg: 17.19 / Max: 17.24

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.8.1Linux 5.8.10Linux 5.9-rc62M4M6M8M10MSE +/- 695158.47, N = 7SE +/- 119466.07, N = 3SE +/- 282704.06, N = 811045683698000711471816
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.8.1Linux 5.8.10Linux 5.9-rc62M4M6M8M10MMin: 7438174 / Avg: 11045683.43 / Max: 13206830Min: 6825071 / Avg: 6980007 / Max: 7214995Min: 10663940 / Avg: 11471816.25 / Max: 12899850

Linux 5.8.1

Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1890/875MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel Device 15f3 + Intel Wi-Fi 6 AX201

OS: Ubuntu 20.04, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.2.0-devel (git-ef67218 2020-07-07 focal-oibaf-ppa) (LLVM 10.0.1), OpenCL: OpenCL 1.1 Mesa 20.2.0-devel (git-c977567db6), Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Testing initiated at 20 September 2020 12:01 by user system.

Linux 5.8.10

Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1890/875MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel Device 15f3 + Intel Wi-Fi 6 AX201

OS: Ubuntu 20.04, Kernel: 5.8.10-050810-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.2.0-devel (git-ef67218 2020-07-07 focal-oibaf-ppa) (LLVM 10.0.1), OpenCL: OpenCL 1.1 Mesa 20.2.0-devel (git-c977567db6), Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Testing initiated at 20 September 2020 18:26 by user system.

Linux 5.9-rc6

Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F3 BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Gigabyte AMD Radeon RX 5500/5500M / Pro 5500M 8GB (1900/875MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel Device 15f3 + Intel Wi-Fi 6 AX201

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.2.0-devel (git-ef67218 2020-07-07 focal-oibaf-ppa) (LLVM 10.0.1), OpenCL: OpenCL 1.1 Mesa 20.2.0-devel (git-c977567db6), Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xc8
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Testing initiated at 21 September 2020 06:06 by user system.