3300X NN + More

AMD Ryzen 7 1700 Eight-Core testing with a MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS) and AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 19.10 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 2009269-FI-3300XNNMO11
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:

Creator Workloads 4 Tests
Fortran Tests 3 Tests
HPC - High Performance Computing 9 Tests
Imaging 3 Tests
Machine Learning 4 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 4 Tests
NVIDIA GPU Compute 2 Tests
OpenMPI Tests 4 Tests
Python Tests 2 Tests
Scientific Computing 5 Tests
Single-Threaded 2 Tests
Vulkan Compute 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
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
1
September 25 2020
  10 Hours, 1 Minute
2
September 25 2020
  8 Hours, 29 Minutes
3
September 26 2020
 
4
September 26 2020
  11 Hours, 5 Minutes
Invert Hiding All Results Option
  7 Hours, 24 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):


3300X NN + MoreProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution1234AMD Ryzen 7 1700 Eight-Core @ 3.00GHz (8 Cores / 16 Threads)MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS)AMD 17h16GB120GB Samsung SSD 840AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1266/2000MHz)AMD Ellesmere HDMI AudioVA2431Realtek RTL8111/8168/8411Ubuntu 19.105.9.0-050900rc2-generic (x86_64) 20200823GNOME Shell 3.34.1X Server 1.20.5amdgpu 19.0.14.5 Mesa 19.2.8 (LLVM 9.0.0)1.1.107GCC 9.2.1 20191008ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-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: acpi-cpufreq ondemand - CPU Microcode: 0x8001137Graphics Details- GLAMORPython Details- Python 2.7.17rc1 + Python 3.7.5Security Details- itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

3300X NN + Morelammps: 20k Atomskripke: influxdb: 4 - 10000 - 2,5000,1 - 10000incompact3d: Cylindergpaw: Carbon Nanotuberealsr-ncnn: 4x - Yesinfluxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000mocassin: Dust 2D tau100.0mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0espeak: Text-To-Speech Synthesisncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetglmark2: 1280 x 1024glmark2: 1920 x 1080opencv: DNN - Deep Neural Networkncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - squeezenetrealsr-ncnn: 4x - Nodcraw: RAW To PPM Image Conversionlibraw: Post-Processing Benchmarkwebp: Quality 100, Lossless, Highest Compressionmpv: Big Buck Bunny Sunflower 4K - Software Onlyosbench: Create Processeswebp: Quality 100, Losslesstnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1mpv: Big Buck Bunny Sunflower 1080p - Software Onlylammps: Rhodopsin Proteinwebp: Quality 100, Highest Compressionosbench: Create Filesosbench: Memory Allocationsosbench: Launch Programsosbench: Create Threadswebp: Quality 100webp: Default12344.5712274229571253.4532.993001518.236443.805897546.8963918.428375.26413.3866.84370.60012.49941.48450.5456.2229.0824.09111.9231.082.8614.129.917.439.3410.7737.4630.75588644432145828.5228.5912.0211.5566.6020.771.7819.338.995.689.768.1217.8618.8658.45253.80724.2449.640558.9235.31201723.735333.936304.7201496.594.3779.45619.15059391.62036657.03687716.5692972.9471.9764.557528243.2532.589945515.265443.827848484.3899150.328373.79513.4286.87369.86412.27643.63550.4652.7629.5823.57111.2229.052.7414.129.697.389.6710.7738.0330.87589644382002428.4428.4511.9911.6166.5520.761.7319.188.965.659.768.1317.8418.8358.41353.81024.2950.313559.4534.88270423.666333.412306.2421497.784.3819.44719.07822591.81968456.00373016.2776312.9691.9754.510507255.7537.422607517.886443.843764198.128373.96813.3656.94069.86412.45238.14250.4456.2129.7324.98110.7829.023.2913.759.937.379.5711.0937.5430.57587544352155328.6128.4612.0411.5766.5520.761.7419.368.965.679.788.1017.8718.8658.38554.35924.1950.630558.1135.65025323.440332.492306.0451490.854.4909.44518.78369491.78368260.71647016.2466372.9431.967OpenBenchmarking.org

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 Atoms1241.02852.0573.08554.1145.1425SE +/- 0.024, N = 3SE +/- 0.015, N = 3SE +/- 0.049, N = 94.5714.5574.5101. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k Atoms124246810Min: 4.53 / Avg: 4.57 / Max: 4.61Min: 4.53 / Avg: 4.56 / Max: 4.58Min: 4.12 / Avg: 4.51 / Max: 4.581. (CXX) g++ options: -O3 -pthread -lm

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 1.2.41500K1000K1500K2000K2500KSE +/- 40613.50, N = 222742291. (CXX) g++ options: -O3 -fopenmp

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000124120K240K360K480K600KSE +/- 18598.16, N = 12SE +/- 21790.68, N = 12SE +/- 18076.30, N = 12571253.4528243.2507255.7
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000124100K200K300K400K500KMin: 473942.5 / Avg: 571253.37 / Max: 707905.7Min: 456327.7 / Avg: 528243.21 / Max: 727562.3Min: 453687.6 / Avg: 507255.73 / Max: 684103.2

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: Cylinder124120240360480600SE +/- 2.71, N = 3SE +/- 3.03, N = 3SE +/- 4.14, N = 3532.99532.59537.421. (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: Cylinder124100200300400500Min: 527.63 / Avg: 532.99 / Max: 536.41Min: 526.74 / Avg: 532.59 / Max: 536.86Min: 530.46 / Avg: 537.42 / Max: 544.781. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 Nanotube124110220330440550SE +/- 1.11, N = 3SE +/- 1.72, N = 3SE +/- 0.91, N = 3518.24515.27517.891. (CC) gcc options: -pthread -shared -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon Nanotube12490180270360450Min: 516.58 / Avg: 518.24 / Max: 520.34Min: 512.82 / Avg: 515.27 / Max: 518.58Min: 516.31 / Avg: 517.89 / Max: 519.451. (CC) gcc options: -pthread -shared -lxc -lblas -lmpi

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes124100200300400500SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3443.81443.83443.84
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes12480160240320400Min: 443.79 / Avg: 443.8 / Max: 443.82Min: 443.81 / Avg: 443.83 / Max: 443.84Min: 443.82 / Avg: 443.84 / Max: 443.9

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000124200K400K600K800K1000KSE +/- 7142.37, N = 3SE +/- 14288.50, N = 12SE +/- 13119.06, N = 12897546.8848484.3764198.1
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000124160K320K480K640K800KMin: 884347.8 / Avg: 897546.77 / Max: 908877.1Min: 770958.1 / Avg: 848484.26 / Max: 954015.7Min: 712381.4 / Avg: 764198.08 / Max: 872035.6

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 1000012200K400K600K800K1000KSE +/- 4179.09, N = 3SE +/- 39090.53, N = 13963918.4899150.3
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 1000012200K400K600K800K1000KMin: 957223 / Avg: 963918.4 / Max: 971598.9Min: 444050 / Avg: 899150.3 / Max: 973285.6

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 tau100.012460120180240300SE +/- 0.88, N = 32832832831. (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 tau100.012450100150200250Min: 282 / Avg: 283.33 / Max: 2851. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -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: inception-v312420406080100SE +/- 1.22, N = 3SE +/- 0.11, N = 3SE +/- 0.47, N = 375.2673.8073.97MIN: 70.86 / MAX: 132.02MIN: 70.29 / MAX: 128.12MIN: 70.72 / MAX: 107.561. (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-v31241428425670Min: 73.52 / Avg: 75.26 / Max: 77.62Min: 73.62 / Avg: 73.79 / Max: 74Min: 73.04 / Avg: 73.97 / Max: 74.581. (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: mobilenet-v1-1.01243691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 313.3913.4313.37MIN: 12.62 / MAX: 27.98MIN: 13.04 / MAX: 29.42MIN: 10.78 / MAX: 28.871. (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-v1-1.012448121620Min: 13.38 / Avg: 13.39 / Max: 13.4Min: 13.41 / Avg: 13.43 / Max: 13.45Min: 13.2 / Avg: 13.36 / Max: 13.481. (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_224124246810SE +/- 0.017, N = 3SE +/- 0.064, N = 3SE +/- 0.030, N = 36.8436.8736.940MIN: 6.34 / MAX: 22.76MIN: 6.37 / MAX: 8.93MIN: 6.37 / MAX: 10.31. (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: MobileNetV2_2241243691215Min: 6.82 / Avg: 6.84 / Max: 6.88Min: 6.78 / Avg: 6.87 / Max: 7Min: 6.9 / Avg: 6.94 / Max: 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: resnet-v2-501241632486480SE +/- 0.45, N = 3SE +/- 0.16, N = 3SE +/- 0.35, N = 370.6069.8669.86MIN: 66.38 / MAX: 106.89MIN: 67.17 / MAX: 89.11MIN: 65.78 / MAX: 106.911. (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-v2-501241428425670Min: 69.75 / Avg: 70.6 / Max: 71.27Min: 69.54 / Avg: 69.86 / Max: 70.04Min: 69.46 / Avg: 69.86 / Max: 70.571. (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: SqueezeNetV1.01243691215SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 312.5012.2812.45MIN: 11.62 / MAX: 26.02MIN: 11.47 / MAX: 30.07MIN: 11.56 / MAX: 29.121. (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: SqueezeNetV1.012448121620Min: 12.38 / Avg: 12.5 / Max: 12.68Min: 12.13 / Avg: 12.28 / Max: 12.53Min: 12.37 / Avg: 12.45 / Max: 12.551. (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

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis1241020304050SE +/- 0.90, N = 16SE +/- 1.05, N = 20SE +/- 0.51, N = 541.4843.6438.141. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis124918273645Min: 36.56 / Avg: 41.48 / Max: 47.04Min: 39.22 / Avg: 43.63 / Max: 55.31Min: 36.55 / Avg: 38.14 / Max: 39.591. (CC) gcc options: -O2 -std=c99

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1241122334455SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 350.5450.4650.44MIN: 42.79 / MAX: 71.94MIN: 42.79 / MAX: 79.82MIN: 43.22 / MAX: 70.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1241020304050Min: 50.37 / Avg: 50.54 / Max: 50.85Min: 50.32 / Avg: 50.46 / Max: 50.72Min: 50.15 / Avg: 50.44 / Max: 50.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501241326395265SE +/- 0.17, N = 3SE +/- 1.78, N = 3SE +/- 0.13, N = 356.2252.7656.21MIN: 47.73 / MAX: 101.17MIN: 47.28 / MAX: 120.42MIN: 47.44 / MAX: 100.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501241122334455Min: 56.02 / Avg: 56.22 / Max: 56.56Min: 49.31 / Avg: 52.76 / Max: 55.22Min: 55.95 / Avg: 56.21 / Max: 56.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet124714212835SE +/- 0.19, N = 3SE +/- 0.80, N = 3SE +/- 0.43, N = 329.0829.5829.73MIN: 18.15 / MAX: 57.79MIN: 18.17 / MAX: 59.76MIN: 18.19 / MAX: 94.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet124714212835Min: 28.73 / Avg: 29.08 / Max: 29.38Min: 28.38 / Avg: 29.58 / Max: 31.1Min: 28.97 / Avg: 29.73 / Max: 30.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18124612182430SE +/- 0.60, N = 3SE +/- 0.91, N = 3SE +/- 0.66, N = 324.0923.5724.98MIN: 19.49 / MAX: 77.09MIN: 19.44 / MAX: 72.07MIN: 21.61 / MAX: 75.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18124612182430Min: 22.91 / Avg: 24.09 / Max: 24.85Min: 21.76 / Avg: 23.57 / Max: 24.67Min: 24.29 / Avg: 24.98 / Max: 26.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16124306090120150SE +/- 0.91, N = 3SE +/- 0.30, N = 3SE +/- 0.98, N = 3111.92111.22110.78MIN: 87.88 / MAX: 165.26MIN: 86.34 / MAX: 166.75MIN: 84.59 / MAX: 174.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612420406080100Min: 110.61 / Avg: 111.92 / Max: 113.67Min: 110.62 / Avg: 111.22 / Max: 111.54Min: 109.12 / Avg: 110.78 / Max: 112.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet124714212835SE +/- 0.32, N = 3SE +/- 1.68, N = 3SE +/- 1.45, N = 331.0829.0529.02MIN: 27.19 / MAX: 97.75MIN: 23.64 / MAX: 72.29MIN: 23.86 / MAX: 69.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet124714212835Min: 30.46 / Avg: 31.08 / Max: 31.55Min: 25.79 / Avg: 29.05 / Max: 31.41Min: 26.12 / Avg: 29.02 / Max: 30.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1240.74031.48062.22092.96123.7015SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 32.862.743.29MIN: 2.54 / MAX: 18.63MIN: 2.51 / MAX: 9.36MIN: 2.55 / MAX: 921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface124246810Min: 2.69 / Avg: 2.86 / Max: 3.13Min: 2.64 / Avg: 2.74 / Max: 2.81Min: 3.09 / Avg: 3.29 / Max: 3.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b012448121620SE +/- 0.38, N = 3SE +/- 0.45, N = 3SE +/- 0.14, N = 314.1214.1213.75MIN: 12.85 / MAX: 66.8MIN: 12.97 / MAX: 29.34MIN: 12.89 / MAX: 86.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b012448121620Min: 13.46 / Avg: 14.12 / Max: 14.79Min: 13.23 / Avg: 14.12 / Max: 14.68Min: 13.54 / Avg: 13.75 / Max: 14.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1243691215SE +/- 0.18, N = 3SE +/- 0.26, N = 3SE +/- 0.24, N = 39.919.699.93MIN: 9.06 / MAX: 23.96MIN: 8.77 / MAX: 11.64MIN: 8.86 / MAX: 45.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1243691215Min: 9.66 / Avg: 9.91 / Max: 10.25Min: 9.34 / Avg: 9.69 / Max: 10.2Min: 9.45 / Avg: 9.93 / Max: 10.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2124246810SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 37.437.387.37MIN: 6.94 / MAX: 8.1MIN: 6.85 / MAX: 8.04MIN: 6.87 / MAX: 17.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21243691215Min: 7.35 / Avg: 7.43 / Max: 7.53Min: 7.26 / Avg: 7.38 / Max: 7.45Min: 7.23 / Avg: 7.37 / Max: 7.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31243691215SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.37, N = 39.349.679.57MIN: 8.58 / MAX: 23.21MIN: 8.5 / MAX: 32.82MIN: 8.51 / MAX: 64.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31243691215Min: 9.25 / Avg: 9.34 / Max: 9.4Min: 9.53 / Avg: 9.67 / Max: 9.91Min: 9.12 / Avg: 9.57 / Max: 10.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21243691215SE +/- 0.10, N = 3SE +/- 0.54, N = 3SE +/- 0.34, N = 310.7710.7711.09MIN: 9.68 / MAX: 26.18MIN: 9.36 / MAX: 64.52MIN: 9.74 / MAX: 30.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21243691215Min: 10.58 / Avg: 10.77 / Max: 10.9Min: 10.01 / Avg: 10.77 / Max: 11.81Min: 10.49 / Avg: 11.09 / Max: 11.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet124918273645SE +/- 0.21, N = 3SE +/- 0.47, N = 3SE +/- 0.13, N = 337.4638.0337.54MIN: 33.76 / MAX: 70.94MIN: 34.21 / MAX: 102.74MIN: 34.06 / MAX: 82.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet124816243240Min: 37.17 / Avg: 37.46 / Max: 37.87Min: 37.17 / Avg: 38.03 / Max: 38.77Min: 37.37 / Avg: 37.54 / Max: 37.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet124714212835SE +/- 0.13, N = 3SE +/- 0.26, N = 3SE +/- 0.30, N = 330.7530.8730.57MIN: 27.03 / MAX: 82.21MIN: 27.17 / MAX: 74.24MIN: 26.49 / MAX: 75.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet124714212835Min: 30.57 / Avg: 30.75 / Max: 31.01Min: 30.52 / Avg: 30.87 / Max: 31.37Min: 30.05 / Avg: 30.57 / Max: 31.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: 1280 x 102412413002600390052006500588658965875

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 108012410002000300040005000444344384435

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1245K10K15K20K25KSE +/- 431.59, N = 15SE +/- 400.07, N = 15SE +/- 324.81, N = 32145820024215531. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1244K8K12K16K20KMin: 19292 / Avg: 21458.27 / Max: 25142Min: 18084 / Avg: 20023.6 / Max: 22822Min: 20907 / Avg: 21553.33 / Max: 219331. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny124714212835SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 328.5228.4428.61MIN: 24.35 / MAX: 33.26MIN: 24.22 / MAX: 32.89MIN: 24.14 / MAX: 32.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny124612182430Min: 28.44 / Avg: 28.52 / Max: 28.62Min: 28.26 / Avg: 28.44 / Max: 28.57Min: 28.51 / Avg: 28.61 / Max: 28.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50124714212835SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 328.5928.4528.46MIN: 26.36 / MAX: 37.83MIN: 26.33 / MAX: 35.78MIN: 26.08 / MAX: 35.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50124612182430Min: 28.51 / Avg: 28.59 / Max: 28.69Min: 28.39 / Avg: 28.45 / Max: 28.51Min: 28.38 / Avg: 28.46 / Max: 28.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet1243691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 312.0211.9912.04MIN: 11.21 / MAX: 15.88MIN: 11.31 / MAX: 15.43MIN: 11.3 / MAX: 16.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet12448121620Min: 12 / Avg: 12.02 / Max: 12.03Min: 11.98 / Avg: 11.99 / Max: 12Min: 11.96 / Avg: 12.04 / Max: 12.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet181243691215SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 311.5511.6111.57MIN: 10.44 / MAX: 17.06MIN: 10.49 / MAX: 17.22MIN: 10.49 / MAX: 16.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet181243691215Min: 11.51 / Avg: 11.55 / Max: 11.59Min: 11.55 / Avg: 11.61 / Max: 11.71Min: 11.56 / Avg: 11.57 / Max: 11.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg161241530456075SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 366.6066.5566.55MIN: 65.77 / MAX: 69.74MIN: 65.83 / MAX: 69.88MIN: 65.79 / MAX: 69.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg161241326395265Min: 66.52 / Avg: 66.6 / Max: 66.68Min: 66.52 / Avg: 66.55 / Max: 66.57Min: 66.5 / Avg: 66.55 / Max: 66.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet124510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 320.7720.7620.76MIN: 19.45 / MAX: 25.92MIN: 19.53 / MAX: 25.18MIN: 19.47 / MAX: 25.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet124510152025Min: 20.72 / Avg: 20.77 / Max: 20.82Min: 20.7 / Avg: 20.76 / Max: 20.84Min: 20.75 / Avg: 20.76 / Max: 20.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1240.40050.8011.20151.6022.0025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.781.731.74MIN: 1.52 / MAX: 4.36MIN: 1.51 / MAX: 3.65MIN: 1.54 / MAX: 3.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface124246810Min: 1.76 / Avg: 1.78 / Max: 1.8Min: 1.72 / Avg: 1.73 / Max: 1.76Min: 1.71 / Avg: 1.74 / Max: 1.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0124510152025SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 319.3319.1819.36MIN: 17.83 / MAX: 25.94MIN: 17.58 / MAX: 25.38MIN: 17.63 / MAX: 26.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0124510152025Min: 19.15 / Avg: 19.33 / Max: 19.44Min: 19.09 / Avg: 19.18 / Max: 19.34Min: 19.21 / Avg: 19.36 / Max: 19.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet1243691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 38.998.968.96MIN: 8.26 / MAX: 12.37MIN: 8.14 / MAX: 12.22MIN: 8.26 / MAX: 11.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet1243691215Min: 8.93 / Avg: 8.99 / Max: 9.05Min: 8.9 / Avg: 8.96 / Max: 9Min: 8.94 / Avg: 8.96 / Max: 8.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21241.2782.5563.8345.1126.39SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 35.685.655.67MIN: 4.95 / MAX: 7.6MIN: 4.79 / MAX: 7.91MIN: 4.91 / MAX: 7.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2124246810Min: 5.66 / Avg: 5.68 / Max: 5.7Min: 5.63 / Avg: 5.65 / Max: 5.68Min: 5.64 / Avg: 5.67 / Max: 5.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31243691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 39.769.769.78MIN: 8.77 / MAX: 14MIN: 8.8 / MAX: 13.68MIN: 8.84 / MAX: 14.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31243691215Min: 9.71 / Avg: 9.76 / Max: 9.84Min: 9.75 / Avg: 9.76 / Max: 9.77Min: 9.69 / Avg: 9.78 / Max: 9.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2124246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.128.138.10MIN: 7.45 / MAX: 11.88MIN: 7.57 / MAX: 11.54MIN: 7.51 / MAX: 10.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21243691215Min: 8.06 / Avg: 8.12 / Max: 8.16Min: 8.12 / Avg: 8.13 / Max: 8.15Min: 8.08 / Avg: 8.1 / Max: 8.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet12448121620SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 317.8617.8417.87MIN: 14.9 / MAX: 24.7MIN: 14.88 / MAX: 23.2MIN: 14.98 / MAX: 22.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet124510152025Min: 17.81 / Avg: 17.86 / Max: 17.9Min: 17.68 / Avg: 17.84 / Max: 18.03Min: 17.66 / Avg: 17.87 / Max: 18.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet124510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 318.8618.8318.86MIN: 17.74 / MAX: 23.12MIN: 17.59 / MAX: 21.01MIN: 17.79 / MAX: 22.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet124510152025Min: 18.82 / Avg: 18.86 / Max: 18.92Min: 18.81 / Avg: 18.83 / Max: 18.85Min: 18.85 / Avg: 18.86 / Max: 18.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No1241326395265SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 358.4558.4158.39
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No1241224364860Min: 58.38 / Avg: 58.45 / Max: 58.59Min: 58.38 / Avg: 58.41 / Max: 58.47Min: 58.35 / Avg: 58.39 / Max: 58.42

dcraw

This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion1241224364860SE +/- 0.02, N = 3SE +/- 0.29, N = 3SE +/- 0.12, N = 353.8153.8154.361. (CC) gcc options: -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion1241122334455Min: 53.77 / Avg: 53.81 / Max: 53.85Min: 53.31 / Avg: 53.81 / Max: 54.32Min: 54.13 / Avg: 54.36 / Max: 54.541. (CC) gcc options: -lm

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark124612182430SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 324.2424.2924.191. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark124612182430Min: 24.13 / Avg: 24.24 / Max: 24.33Min: 24.21 / Avg: 24.29 / Max: 24.39Min: 24.12 / Avg: 24.19 / Max: 24.251. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression1241122334455SE +/- 0.30, N = 3SE +/- 0.17, N = 3SE +/- 0.35, N = 349.6450.3150.631. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression1241020304050Min: 49.06 / Avg: 49.64 / Max: 50.03Min: 50.11 / Avg: 50.31 / Max: 50.64Min: 49.97 / Avg: 50.63 / Max: 51.181. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only124120240360480600SE +/- 0.53, N = 3SE +/- 0.83, N = 3SE +/- 0.60, N = 3558.92559.45558.11MIN: 353.51 / MAX: 741.98MIN: 355.56 / MAX: 751.21MIN: 354.93 / MAX: 741.61. mpv 0.29.1
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only124100200300400500Min: 557.9 / Avg: 558.92 / Max: 559.67Min: 557.96 / Avg: 559.45 / Max: 560.83Min: 556.98 / Avg: 558.11 / Max: 559.021. mpv 0.29.1

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes124816243240SE +/- 0.47, N = 15SE +/- 0.39, N = 15SE +/- 0.54, N = 1535.3134.8835.651. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes124816243240Min: 32.89 / Avg: 35.31 / Max: 39.71Min: 32.34 / Avg: 34.88 / Max: 37.72Min: 32.99 / Avg: 35.65 / Max: 41.271. (CC) gcc options: -lm

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless124612182430SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 323.7423.6723.441. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless124612182430Min: 23.35 / Avg: 23.74 / Max: 23.93Min: 23.41 / Avg: 23.67 / Max: 24.01Min: 23.34 / Avg: 23.44 / Max: 23.51. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212470140210280350SE +/- 0.97, N = 3SE +/- 1.19, N = 3SE +/- 0.92, N = 3333.94333.41332.49MIN: 322.28 / MAX: 361.07MIN: 320.39 / MAX: 360.51MIN: 320.63 / MAX: 353.141. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212460120180240300Min: 332.32 / Avg: 333.94 / Max: 335.66Min: 331.58 / Avg: 333.41 / Max: 335.65Min: 330.88 / Avg: 332.49 / Max: 334.061. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112470140210280350SE +/- 0.98, N = 3SE +/- 1.73, N = 3SE +/- 0.40, N = 3304.72306.24306.05MIN: 294.26 / MAX: 317.02MIN: 294.08 / MAX: 321.12MIN: 293.97 / MAX: 314.931. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112450100150200250Min: 302.98 / Avg: 304.72 / Max: 306.37Min: 303.17 / Avg: 306.24 / Max: 309.15Min: 305.29 / Avg: 306.05 / Max: 306.621. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only12430060090012001500SE +/- 4.23, N = 3SE +/- 3.04, N = 3SE +/- 0.82, N = 31496.591497.781490.85MIN: 890.33 / MAX: 2242.83MIN: 916.25 / MAX: 2144.91MIN: 901.12 / MAX: 2234.811. mpv 0.29.1
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only12430060090012001500Min: 1490.24 / Avg: 1496.59 / Max: 1504.61Min: 1492.04 / Avg: 1497.78 / Max: 1502.4Min: 1489.21 / Avg: 1490.85 / Max: 1491.811. mpv 0.29.1

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: Rhodopsin Protein1241.01032.02063.03094.04125.0515SE +/- 0.048, N = 3SE +/- 0.068, N = 15SE +/- 0.036, N = 34.3774.3814.4901. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein124246810Min: 4.31 / Avg: 4.38 / Max: 4.47Min: 3.86 / Avg: 4.38 / Max: 4.63Min: 4.42 / Avg: 4.49 / Max: 4.541. (CXX) g++ options: -O3 -pthread -lm

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1243691215SE +/- 0.030, N = 3SE +/- 0.026, N = 3SE +/- 0.016, N = 39.4569.4479.4451. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1243691215Min: 9.41 / Avg: 9.46 / Max: 9.51Min: 9.4 / Avg: 9.45 / Max: 9.49Min: 9.42 / Avg: 9.44 / Max: 9.471. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Files124510152025SE +/- 0.22, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 319.1519.0818.781. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Files124510152025Min: 18.71 / Avg: 19.15 / Max: 19.41Min: 18.91 / Avg: 19.08 / Max: 19.38Min: 18.71 / Avg: 18.78 / Max: 18.91. (CC) gcc options: -lm

OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations12420406080100SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.38, N = 391.6291.8291.781. (CC) gcc options: -lm
OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations12420406080100Min: 91.56 / Avg: 91.62 / Max: 91.67Min: 91.41 / Avg: 91.82 / Max: 92.07Min: 91.08 / Avg: 91.78 / Max: 92.391. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs1241428425670SE +/- 0.36, N = 3SE +/- 0.70, N = 3SE +/- 0.74, N = 357.0456.0060.721. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs1241224364860Min: 56.35 / Avg: 57.04 / Max: 57.56Min: 54.81 / Avg: 56 / Max: 57.23Min: 59.76 / Avg: 60.72 / Max: 62.181. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads12448121620SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 316.5716.2816.251. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads12448121620Min: 16.3 / Avg: 16.57 / Max: 16.72Min: 16.05 / Avg: 16.28 / Max: 16.59Min: 16.02 / Avg: 16.25 / Max: 16.571. (CC) gcc options: -lm

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001240.6681.3362.0042.6723.34SE +/- 0.016, N = 3SE +/- 0.004, N = 3SE +/- 0.012, N = 32.9472.9692.9431. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100124246810Min: 2.93 / Avg: 2.95 / Max: 2.98Min: 2.96 / Avg: 2.97 / Max: 2.98Min: 2.92 / Avg: 2.94 / Max: 2.961. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1240.44460.88921.33381.77842.223SE +/- 0.006, N = 3SE +/- 0.014, N = 3SE +/- 0.010, N = 31.9761.9751.9671. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default124246810Min: 1.97 / Avg: 1.98 / Max: 1.99Min: 1.95 / Avg: 1.97 / Max: 2Min: 1.95 / Avg: 1.97 / Max: 1.981. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff