ryzen-5-2400g-september

AMD Ryzen 5 2400G testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NM BIOS) and MSI AMD Radeon Vega / Mobile 2GB 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 2010015-FI-RYZEN524057
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September 29 2020
  32 Minutes
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September 29 2020
  9 Hours, 42 Minutes
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September 30 2020
  7 Hours, 13 Minutes
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September 30 2020
  5 Hours, 56 Minutes
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ryzen-5-2400g-september ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution11a23AMD Ryzen 5 2400G @ 3.60GHz (4 Cores / 8 Threads)MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NM BIOS)AMD Raven/Raven26GB120GB Corsair Force MP500MSI AMD Radeon Vega / Mobile 2GB (1250/1600MHz)AMD Raven/Raven2/FenghuangG237HLRealtek RTL8111/8168/8411Ubuntu 19.105.3.0-13-generic (x86_64)GNOME Shell 3.34.0X Server 1.20.5modesetting 1.20.54.5 Mesa 19.1.6 (LLVM 8.0.1)1.1.90GCC 9.2.1 20190909ext41920x1080MSI AMD Radeon Vega / Mobile 2GB (1250/1467MHz)GNOME Shell 3.34.14.5 Mesa 19.2.8 (LLVM 9.0.0)1.1.107GCC 9.2.1 20191008OpenBenchmarking.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: 0x8101016Graphics Details- GLAMORPython Details- 1: Python 2.7.16+ + Python 3.7.4+- 1a: Python 2.7.16+ + Python 3.7.4+- 2: Python 2.7.16+ + Python 3.7.4+- 3: Python 2.7.17rc1 + Python 3.7.5Security Details- 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

11a23Result OverviewPhoronix Test Suite100%107%115%122%130%FFTENAMDTimed HMMer SearchRealSR-NCNNDolfyn

ryzen-5-2400g-september astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebuild2: Time To Compilebyte: Dhrystone 2dolfyn: Computational Fluid Dynamicsespeak: Text-To-Speech Synthesisffte: N=256, 3D Complex FFT Routinehint: FLOAThugin: Panorama Photo Assistant + Stitching Timeincompact3d: Cylinderinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000keydb: libraw: Post-Processing Benchmarkmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionmontage: Mosaic of M17, K band, 1.5 deg x 1.5 degmocassin: Dust 2D tau100.0namd: ATPase Simulation - 327,506 Atomsocrmypdf: Processing 60 Page PDF Documentrealsr-ncnn: 4x - Notensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2tesseract-ocr: Time To OCR 7 Imagesbuild-apache: Time To Compilehmmer: Pfam Database Searchbuild-linux-kernel: Time To Compilebuild-llvm: Time To Compiletnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1webp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressioncompress-zstd: 3compress-zstd: 1911a2320.52217215.2785295155.28928236.547125.8588.6210.0065.77546.94263.10036821153.720.67734.77816979.279231030320492479.5205470.2441249.34870730050.3764270.2800320.3393288.8719.9871.61103.4612.886.8697.0414245.3185251.544237.4794587586361343295590274840293541550717728.46440.734126.462221.3371720.435294.064275.8451.9112.76827.7458.72360.5021877.513.78.5510.0265.37545.76259.29936030823.621.98435.12913276.437470892322405159.8008571.3831264.81095832348.6886970.2901850.1389600.3923.2069.23109.1912.776.8797.0654176.3996851.497245.5194484336517520294468273720292611544657728.42535.043147.483189.9221617.108295.987275.7871.8772.79726.5958.74159.9951790.713.78.5510.0165.69547.64261.50637724535.120.49235.60417100.947412472321165013.8621871.593779.533671831135.4879697.9905575.3389191.4823.7769.57105.5812.916.9095.1463225.2807851.669228.8624595306382913295390274870293916551944728.17734.807125.463189.0241618.432296.138276.2451.7802.67822.9698.47254.8842002.815.3OpenBenchmarking.org

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast231a246810SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 38.558.558.621. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1a323691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 310.0010.0110.021. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough231a1530456075SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 365.3765.6965.771. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive21a3120240360480600SE +/- 0.54, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3545.76546.94547.641. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To Compile231a60120180240300SE +/- 0.63, N = 3SE +/- 2.65, N = 3SE +/- 2.28, N = 3259.30261.51263.10

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 231a28M16M24M32M40MSE +/- 256434.36, N = 3SE +/- 125182.45, N = 3SE +/- 304090.74, N = 337724535.136821153.736030823.6

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics311a2510152025SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 320.4920.5220.6821.98

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 Synthesis1a23816243240SE +/- 0.30, N = 20SE +/- 0.41, N = 20SE +/- 0.38, N = 2034.7835.1335.601. (CC) gcc options: -O2 -std=c99

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine131a24K8K12K16K20KSE +/- 6.67, N = 3SE +/- 47.09, N = 3SE +/- 62.30, N = 3SE +/- 126.96, N = 317215.2817100.9516979.2813276.441. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT231a70M140M210M280M350MSE +/- 761722.15, N = 3SE +/- 186499.05, N = 3SE +/- 576739.47, N = 3322405159.80321165013.86320492479.521. (CC) gcc options: -O3 -march=native -lm

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching Time1a231632486480SE +/- 0.12, N = 3SE +/- 0.86, N = 3SE +/- 0.76, N = 370.2471.3871.59

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: Cylinder31a230060090012001500SE +/- 2.07, N = 3SE +/- 13.21, N = 7SE +/- 2.98, N = 3779.531249.351264.811. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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: 10000231a200K400K600K800K1000KSE +/- 2189.23, N = 3SE +/- 4531.88, N = 3SE +/- 12240.65, N = 12832348.6831135.4730050.3

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000231a200K400K600K800K1000KSE +/- 3378.62, N = 3SE +/- 2928.71, N = 3SE +/- 413.66, N = 3886970.2879697.9764270.2

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000321a200K400K600K800K1000KSE +/- 2326.13, N = 3SE +/- 3860.02, N = 3SE +/- 624.64, N = 3905575.3901850.1800320.3

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.161a2380K160K240K320K400KSE +/- 1326.81, N = 3SE +/- 1787.69, N = 3SE +/- 1938.53, N = 3393288.87389600.39389191.481. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 Benchmark321a612182430SE +/- 0.03, N = 3SE +/- 0.37, N = 3SE +/- 0.09, N = 323.7723.2019.981. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica231a1632486480SE +/- 0.38, N = 3SE +/- 0.13, N = 3SE +/- 0.93, N = 369.2369.5771.61

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1a3220406080100SE +/- 0.74, N = 3SE +/- 0.05, N = 3SE +/- 1.34, N = 12103.46105.58109.19

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm21a33691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 312.7712.8812.91

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1a23246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 36.866.876.90

Montage Astronomical Image Mosaic Engine

Montage is an open-source astronomical image mosaic engine. This BSD-licensed astronomy software is developed by the California Institute of Technology, Pasadena. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 deg31a220406080100SE +/- 0.45, N = 3SE +/- 1.04, N = 3SE +/- 0.86, N = 1195.1597.0497.071. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

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 tau100.0321a90180270360450SE +/- 0.67, N = 3SE +/- 6.56, N = 3SE +/- 1.15, N = 33224174241. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 Atoms311a2246810SE +/- 0.01436, N = 3SE +/- 0.01493, N = 3SE +/- 0.01763, N = 3SE +/- 0.04621, N = 35.280785.289285.318526.39968

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.0.3+dfsgProcessing 60 Page PDF Document21a31224364860SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 351.5051.5451.67

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: No311a250100150200250SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3228.86236.55237.48245.52

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: SqueezeNet21a3100K200K300K400K500KSE +/- 5705.73, N = 3SE +/- 6203.35, N = 3SE +/- 2166.23, N = 3448433458758459530

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V41a321.4M2.8M4.2M5.6M7MSE +/- 29935.98, N = 3SE +/- 15728.62, N = 3SE +/- 18439.02, N = 3636134363829136517520

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile231a60K120K180K240K300KSE +/- 116.54, N = 3SE +/- 349.56, N = 3SE +/- 476.96, N = 3294468295390295590

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float21a360K120K180K240K300KSE +/- 35.03, N = 3SE +/- 329.01, N = 3SE +/- 206.45, N = 3273720274840274870

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant21a360K120K180K240K300KSE +/- 160.43, N = 3SE +/- 71.37, N = 3SE +/- 211.72, N = 3292611293541293916

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V221a31.2M2.4M3.6M4.8M6MSE +/- 11495.36, N = 3SE +/- 12214.91, N = 3SE +/- 20105.68, N = 3544657755071775519447

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.0Time To OCR 7 Images321a714212835SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 328.1828.4328.46

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile321a918273645SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 334.8135.0440.73

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search311a2306090120150SE +/- 0.19, N = 3SE +/- 0.27, N = 3SE +/- 0.27, N = 3SE +/- 0.32, N = 3125.46125.86126.46147.481. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To Compile321a50100150200250SE +/- 0.44, N = 3SE +/- 0.46, N = 3SE +/- 0.66, N = 3189.02189.92221.34

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 Compile231a400800120016002000SE +/- 0.88, N = 3SE +/- 1.63, N = 3SE +/- 48.02, N = 61617.111618.431720.44

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 v21a2360120180240300SE +/- 0.69, N = 3SE +/- 0.39, N = 3SE +/- 1.10, N = 3294.06295.99296.14MIN: 286.09 / MAX: 320.23MIN: 285 / MAX: 317.17MIN: 285.69 / MAX: 318.741. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.121a360120180240300SE +/- 0.65, N = 3SE +/- 0.27, N = 3SE +/- 0.22, N = 3275.79275.85276.25MIN: 272.92 / MAX: 286.41MIN: 274.63 / MAX: 293.61MIN: 273.31 / MAX: 318.871. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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: Default321a0.430.861.291.722.15SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.030, N = 31.7801.8771.9111. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 10031a20.62931.25861.88792.51723.1465SE +/- 0.015, N = 3SE +/- 0.007, N = 3SE +/- 0.025, N = 112.6782.7682.7971. (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, Lossless321a714212835SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 322.9726.6027.751. (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 Compression31a2246810SE +/- 0.094, N = 3SE +/- 0.038, N = 3SE +/- 0.138, N = 38.4728.7238.7411. (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 Compression321a1428425670SE +/- 0.07, N = 3SE +/- 0.38, N = 3SE +/- 0.07, N = 354.8860.0060.501. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 331a2400800120016002000SE +/- 16.54, N = 3SE +/- 1.83, N = 3SE +/- 27.01, N = 32002.81877.51790.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19321a48121620SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 315.313.713.71. (CC) gcc options: -O3 -pthread -lz -llzma