laptop DL

Intel Core i7-9750H testing with a Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS) and Intel UHD 630 3GB 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 2009208-FI-LAPTOPDL860
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:

Fortran Tests 3 Tests
HPC - High Performance Computing 7 Tests
Machine Learning 2 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 4 Tests
OpenMPI Tests 4 Tests
Scientific Computing 5 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
Disable Color Branding
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
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Intel Core i7-9750H
September 19 2020
  5 Hours, 56 Minutes
Run 2
September 19 2020
  12 Hours, 55 Minutes
Run 3
September 19 2020
  10 Hours, 39 Minutes
Invert Hiding All Results Option
  9 Hours, 50 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):


laptop DLOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads)Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS)Intel Cannon Lake PCH32GB1000GB Samsung SSD 970 EVO Plus 1TBIntel UHD 630 3GB (1150MHz)Realtek ALC1220Realtek RTL8111/8168/8411 + Intel-AC 9560Ubuntu 20.045.7.0-999-generic (x86_64) 20200530GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionLaptop DL 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: 0xd6- Python 3.8.2- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Intel Core i7-9750HRun 2Run 3Result OverviewPhoronix Test Suite100%102%105%107%LAMMPS Molecular Dynamics SimulatorIncompact3DKripkeMobile Neural NetworkMonte Carlo Simulations of Ionised NebulaeNCNNGPAW

laptop DLincompact3d: Cylindermocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteingpaw: 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: Intel Core i7-9750HRun 2Run 3584.2727052603.6633.755470.3659.73557.1225.6729.51566.95817.075.534.315.511.8747.46170.2829.1217.2196.6523.5422501964598.7133792603.6464.515472.48410.14657.3225.7109.54466.97116.835.504.305.501.8847.42170.4129.1817.2196.6823.5323168740602.2310592583.6423.740469.3879.70357.2005.6679.27766.76616.795.474.295.471.8547.18170.7129.0217.1796.4423.5123091477OpenBenchmarking.org

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: CylinderIntel Core i7-9750HRun 2Run 3130260390520650SE +/- 1.14, N = 3SE +/- 8.60, N = 4SE +/- 7.28, N = 3584.27598.71602.231. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderIntel Core i7-9750HRun 2Run 3110220330440550Min: 582.19 / Avg: 584.27 / Max: 586.11Min: 580.69 / Avg: 598.71 / Max: 617.48Min: 587.75 / Avg: 602.23 / Max: 610.771. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 tau100.0Intel Core i7-9750HRun 2Run 360120180240300SE +/- 1.20, N = 3SE +/- 1.76, N = 3SE +/- 2.19, N = 32602602581. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Intel Core i7-9750HRun 2Run 350100150200250Min: 258 / Avg: 260.33 / Max: 262Min: 257 / Avg: 259.67 / Max: 263Min: 254 / Avg: 258.33 / Max: 2611. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 AtomsIntel Core i7-9750HRun 2Run 30.82421.64842.47263.29684.121SE +/- 0.007, N = 3SE +/- 0.031, N = 3SE +/- 0.018, N = 33.6633.6463.6421. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsIntel Core i7-9750HRun 2Run 3246810Min: 3.65 / Avg: 3.66 / Max: 3.68Min: 3.59 / Avg: 3.65 / Max: 3.69Min: 3.61 / Avg: 3.64 / Max: 3.661. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinIntel Core i7-9750HRun 2Run 31.01592.03183.04774.06365.0795SE +/- 0.039, N = 15SE +/- 0.007, N = 3SE +/- 0.010, N = 33.7554.5153.7401. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinIntel Core i7-9750HRun 2Run 3246810Min: 3.66 / Avg: 3.76 / Max: 4.29Min: 4.5 / Avg: 4.51 / Max: 4.53Min: 3.73 / Avg: 3.74 / Max: 3.761. (CXX) g++ options: -O3 -pthread -lm

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 NanotubeIntel Core i7-9750HRun 2Run 3100200300400500SE +/- 0.56, N = 3SE +/- 3.67, N = 3SE +/- 0.84, N = 3470.37472.48469.391. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeIntel Core i7-9750HRun 2Run 380160240320400Min: 469.27 / Avg: 470.37 / Max: 471.12Min: 467.9 / Avg: 472.48 / Max: 479.74Min: 468.36 / Avg: 469.39 / Max: 471.051. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

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: SqueezeNetV1.0Intel Core i7-9750HRun 2Run 33691215SE +/- 0.025, N = 3SE +/- 0.377, N = 12SE +/- 0.042, N = 39.73510.1469.703MIN: 9.42 / MAX: 21.74MIN: 9.24 / MAX: 61.21MIN: 9.36 / MAX: 32.581. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Intel Core i7-9750HRun 2Run 33691215Min: 9.71 / Avg: 9.74 / Max: 9.79Min: 9.69 / Avg: 10.15 / Max: 14.29Min: 9.64 / Avg: 9.7 / Max: 9.781. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Intel Core i7-9750HRun 2Run 31326395265SE +/- 0.22, N = 3SE +/- 0.12, N = 12SE +/- 0.23, N = 357.1257.3257.20MIN: 55.2 / MAX: 93.26MIN: 54.89 / MAX: 125.65MIN: 56.42 / MAX: 102.31. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Intel Core i7-9750HRun 2Run 31122334455Min: 56.69 / Avg: 57.12 / Max: 57.41Min: 56.72 / Avg: 57.32 / Max: 57.89Min: 56.8 / Avg: 57.2 / Max: 57.591. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Intel Core i7-9750HRun 2Run 31.28482.56963.85445.13926.424SE +/- 0.005, N = 3SE +/- 0.013, N = 12SE +/- 0.016, N = 35.6725.7105.667MIN: 5.47 / MAX: 10.83MIN: 5.45 / MAX: 31.53MIN: 5.48 / MAX: 29.841. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Intel Core i7-9750HRun 2Run 3246810Min: 5.66 / Avg: 5.67 / Max: 5.68Min: 5.63 / Avg: 5.71 / Max: 5.77Min: 5.64 / Avg: 5.67 / Max: 5.71. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Intel Core i7-9750HRun 2Run 33691215SE +/- 0.020, N = 3SE +/- 0.050, N = 12SE +/- 0.332, N = 39.5159.5449.277MIN: 7.95 / MAX: 34.81MIN: 7.92 / MAX: 52.22MIN: 8.01 / MAX: 31.171. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Intel Core i7-9750HRun 2Run 33691215Min: 9.49 / Avg: 9.52 / Max: 9.55Min: 9.14 / Avg: 9.54 / Max: 9.74Min: 8.62 / Avg: 9.28 / Max: 9.681. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Intel Core i7-9750HRun 2Run 31530456075SE +/- 0.11, N = 3SE +/- 0.11, N = 12SE +/- 0.25, N = 366.9666.9766.77MIN: 65.27 / MAX: 91.22MIN: 64.01 / MAX: 91.95MIN: 65.71 / MAX: 92.891. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Intel Core i7-9750HRun 2Run 31326395265Min: 66.79 / Avg: 66.96 / Max: 67.16Min: 66.38 / Avg: 66.97 / Max: 67.42Min: 66.46 / Avg: 66.77 / Max: 67.261. (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

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Intel Core i7-9750HRun 2Run 348121620SE +/- 0.15, N = 3SE +/- 0.22, N = 12SE +/- 0.21, N = 1217.0716.8316.79MIN: 14.96 / MAX: 20.22MIN: 14.99 / MAX: 42.32MIN: 14.95 / MAX: 28.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Intel Core i7-9750HRun 2Run 348121620Min: 16.79 / Avg: 17.07 / Max: 17.27Min: 15.15 / Avg: 16.83 / Max: 17.36Min: 15.08 / Avg: 16.79 / Max: 17.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Intel Core i7-9750HRun 2Run 31.24432.48863.73294.97726.2215SE +/- 0.02, N = 3SE +/- 0.01, N = 12SE +/- 0.01, N = 125.535.505.47MIN: 5.37 / MAX: 6.35MIN: 5.37 / MAX: 7.38MIN: 5.35 / MAX: 9.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Intel Core i7-9750HRun 2Run 3246810Min: 5.49 / Avg: 5.53 / Max: 5.55Min: 5.45 / Avg: 5.5 / Max: 5.6Min: 5.42 / Avg: 5.47 / Max: 5.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetIntel Core i7-9750HRun 2Run 30.96981.93962.90943.87924.849SE +/- 0.01, N = 3SE +/- 0.01, N = 12SE +/- 0.01, N = 124.314.304.29MIN: 4.23 / MAX: 6.52MIN: 4.1 / MAX: 7.79MIN: 4.07 / MAX: 7.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetIntel Core i7-9750HRun 2Run 3246810Min: 4.29 / Avg: 4.31 / Max: 4.33Min: 4.28 / Avg: 4.3 / Max: 4.36Min: 4.26 / Avg: 4.29 / Max: 4.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetIntel Core i7-9750HRun 2Run 31.23982.47963.71944.95926.199SE +/- 0.02, N = 3SE +/- 0.02, N = 11SE +/- 0.01, N = 75.515.505.47MIN: 5.38 / MAX: 7.29MIN: 5.37 / MAX: 7.47MIN: 5.09 / MAX: 17.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetIntel Core i7-9750HRun 2Run 3246810Min: 5.48 / Avg: 5.51 / Max: 5.53Min: 5.45 / Avg: 5.5 / Max: 5.66Min: 5.43 / Avg: 5.47 / Max: 5.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceIntel Core i7-9750HRun 2Run 30.4230.8461.2691.6922.115SE +/- 0.02, N = 3SE +/- 0.01, N = 12SE +/- 0.00, N = 121.871.881.85MIN: 1.77 / MAX: 1.94MIN: 1.72 / MAX: 13.74MIN: 1.76 / MAX: 2.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceIntel Core i7-9750HRun 2Run 3246810Min: 1.85 / Avg: 1.87 / Max: 1.9Min: 1.85 / Avg: 1.88 / Max: 2.03Min: 1.84 / Avg: 1.85 / Max: 1.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Intel Core i7-9750HRun 2Run 31122334455SE +/- 0.04, N = 3SE +/- 0.13, N = 12SE +/- 0.05, N = 1247.4647.4247.18MIN: 45 / MAX: 58.99MIN: 46.23 / MAX: 58.87MIN: 46.14 / MAX: 59.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Intel Core i7-9750HRun 2Run 31020304050Min: 47.4 / Avg: 47.46 / Max: 47.54Min: 47.03 / Avg: 47.42 / Max: 48.76Min: 46.89 / Avg: 47.18 / Max: 47.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Intel Core i7-9750HRun 2Run 34080120160200SE +/- 0.40, N = 3SE +/- 0.37, N = 12SE +/- 0.31, N = 12170.28170.41170.71MIN: 168.6 / MAX: 183.39MIN: 167.76 / MAX: 193.79MIN: 168.32 / MAX: 197.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Intel Core i7-9750HRun 2Run 3306090120150Min: 169.74 / Avg: 170.28 / Max: 171.07Min: 168.48 / Avg: 170.41 / Max: 173.09Min: 168.9 / Avg: 170.71 / Max: 172.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Intel Core i7-9750HRun 2Run 3714212835SE +/- 0.04, N = 3SE +/- 0.13, N = 12SE +/- 0.03, N = 1229.1229.1829.02MIN: 28.78 / MAX: 42.83MIN: 28.77 / MAX: 41.13MIN: 27.68 / MAX: 41.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Intel Core i7-9750HRun 2Run 3612182430Min: 29.08 / Avg: 29.12 / Max: 29.19Min: 28.88 / Avg: 29.18 / Max: 30.58Min: 28.87 / Avg: 29.02 / Max: 29.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetIntel Core i7-9750HRun 2Run 348121620SE +/- 0.04, N = 3SE +/- 0.01, N = 12SE +/- 0.01, N = 1217.2117.2117.17MIN: 16.76 / MAX: 27.77MIN: 16.76 / MAX: 28.9MIN: 16.7 / MAX: 36.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetIntel Core i7-9750HRun 2Run 348121620Min: 17.17 / Avg: 17.21 / Max: 17.28Min: 17.13 / Avg: 17.21 / Max: 17.28Min: 17.07 / Avg: 17.17 / Max: 17.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Intel Core i7-9750HRun 2Run 320406080100SE +/- 0.30, N = 3SE +/- 0.29, N = 12SE +/- 0.14, N = 1296.6596.6896.44MIN: 95.39 / MAX: 108.86MIN: 94.49 / MAX: 111.65MIN: 95.26 / MAX: 111.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Intel Core i7-9750HRun 2Run 320406080100Min: 96.05 / Avg: 96.65 / Max: 96.99Min: 95.92 / Avg: 96.68 / Max: 99.38Min: 95.74 / Avg: 96.44 / Max: 96.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Intel Core i7-9750HRun 2Run 3612182430SE +/- 0.09, N = 3SE +/- 0.05, N = 12SE +/- 0.04, N = 1223.5423.5323.51MIN: 22.9 / MAX: 35.37MIN: 22.82 / MAX: 36.31MIN: 22.87 / MAX: 36.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Intel Core i7-9750HRun 2Run 3510152025Min: 23.36 / Avg: 23.54 / Max: 23.64Min: 23.3 / Avg: 23.53 / Max: 23.92Min: 23.29 / Avg: 23.51 / Max: 23.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 1.2.4Intel Core i7-9750HRun 2Run 35M10M15M20M25MSE +/- 280236.48, N = 5SE +/- 31993.47, N = 3SE +/- 92055.66, N = 32250196423168740230914771. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Intel Core i7-9750HRun 2Run 34M8M12M16M20MMin: 21594190 / Avg: 22501964 / Max: 23230740Min: 23114570 / Avg: 23168740 / Max: 23225320Min: 22908470 / Avg: 23091476.67 / Max: 232004201. (CXX) g++ options: -O3 -fopenmp