AMD Ryzen 5 5600X comparison to the Ryzen 5 3600X by Michael Larabel.
Ryzen 5 3600X Processor: AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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 -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 5 5600X Changed Processor to AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads) .
Changed Motherboard to ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS) .
Processor Change: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009Security Change: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
WireGuard + Linux Networking Stack Stress Test This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better WireGuard + Linux Networking Stack Stress Test Ryzen 5 3600X Ryzen 5 5600X 40 80 120 160 200 SE +/- 1.74, N = 3 SE +/- 0.63, N = 3 197.37 129.38
CloverLeaf CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm8192.in input file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics Ryzen 5 3600X Ryzen 5 5600X 1.1025 2.205 3.3075 4.41 5.5125 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 4.90 4.51 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
Rodinia Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD Ryzen 5 3600X Ryzen 5 5600X 70 140 210 280 350 SE +/- 0.13, N = 3 SE +/- 0.14, N = 3 309.61 231.62 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D Ryzen 5 3600X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.24, N = 3 SE +/- 0.88, N = 15 87.09 70.56 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte Ryzen 5 3600X Ryzen 5 5600X 30 60 90 120 150 SE +/- 1.10, N = 3 SE +/- 0.28, N = 3 127.40 106.40 1. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver Ryzen 5 3600X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 27.16 21.28 1. (CXX) g++ options: -O2 -lOpenCL
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.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Ryzen 5 3600X Ryzen 5 5600X 0.6457 1.2914 1.9371 2.5828 3.2285 SE +/- 0.00119, N = 3 SE +/- 0.00099, N = 3 2.86995 2.37935
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.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics Ryzen 5 3600X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 16.15 13.14
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.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine Ryzen 5 3600X Ryzen 5 5600X 8K 16K 24K 32K 40K SE +/- 18.52, N = 3 SE +/- 32.74, N = 3 34238.23 36604.36 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
Timed MrBayes Analysis This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis Ryzen 5 3600X Ryzen 5 5600X 15 30 45 60 75 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 69.25 54.53 -msse4a -msha -mmpx 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
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.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Ryzen 5 3600X Ryzen 5 5600X 50 100 150 200 250 SE +/- 2.19, N = 3 233 203 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
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.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default Ryzen 5 3600X Ryzen 5 5600X 0.3227 0.6454 0.9681 1.2908 1.6135 SE +/- 0.005, N = 3 SE +/- 0.000, N = 3 1.434 1.177 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 Ryzen 5 3600X Ryzen 5 5600X 0.4925 0.985 1.4775 1.97 2.4625 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 2.189 1.821 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Ryzen 5 3600X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.12, N = 3 15.62 13.26 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Ryzen 5 3600X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.025, N = 3 SE +/- 0.002, N = 3 6.916 5.454 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Ryzen 5 3600X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 32.53 27.91 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Fhourstones This integer benchmark solves positions in the game of Connect-4, as played on a vertical 7x6 board. By default, it uses a 64Mb transposition table with the twobig replacement strategy. Positions are represented as 64-bit bitboards, and the hash function is computed using a single 64-bit modulo operation, giving 64-bit machines a slight edge. The alpha-beta searcher sorts moves dynamically based on the history heuristic. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Kpos / sec, More Is Better Fhourstones 3.1 Complex Connect-4 Solving Ryzen 5 3600X Ryzen 5 5600X 4K 8K 12K 16K 20K SE +/- 25.69, N = 3 SE +/- 185.84, N = 3 15263.7 20100.7 1. (CC) gcc options: -O3
SciMark This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Composite Ryzen 5 3600X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 3.31, N = 3 SE +/- 0.93, N = 3 716.75 830.95 1. (CC) gcc options: -lm
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Monte Carlo Ryzen 5 3600X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.03, N = 3 SE +/- 3.26, N = 3 159.39 185.18 1. (CC) gcc options: -lm
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Fast Fourier Transform Ryzen 5 3600X Ryzen 5 5600X 70 140 210 280 350 SE +/- 6.73, N = 3 SE +/- 4.76, N = 3 306.45 338.34 1. (CC) gcc options: -lm
OpenBenchmarking.org Mflops, More Is Better SciMark 2.0 Computational Test: Dense LU Matrix Factorization Ryzen 5 3600X Ryzen 5 5600X 300 600 900 1200 1500 SE +/- 7.05, N = 3 SE +/- 3.19, N = 3 1003.69 1476.82 1. (CC) gcc options: -lm
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: Blowfish Ryzen 5 3600X Ryzen 5 5600X 120 240 360 480 600 SE +/- 3.10, N = 3 SE +/- 0.32, N = 3 480.70 539.22 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.org MiB/s, More Is Better Botan 2.13.0 Test: CAST-256 Ryzen 5 3600X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 157.47 169.18 1. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
TSCP This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance Ryzen 5 3600X Ryzen 5 5600X 400K 800K 1200K 1600K 2000K SE +/- 2742.19, N = 5 SE +/- 2451.81, N = 5 1327838 1900557 1. (CC) gcc options: -O3 -march=native
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 Ryzen 5 3600X Ryzen 5 5600X 200K 400K 600K 800K 1000K SE +/- 390.65, N = 3 SE +/- 1193.14, N = 3 724083 963686 -lgmp 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
GraphicsMagick This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate Ryzen 5 3600X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 0.88, N = 3 SE +/- 6.01, N = 3 754 1035 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced Ryzen 5 3600X Ryzen 5 5600X 40 80 120 160 200 157 176 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Resizing Ryzen 5 3600X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 1.45, N = 3 SE +/- 0.88, N = 3 760 915 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU Ryzen 5 3600X Ryzen 5 5600X 1.2908 2.5816 3.8724 5.1632 6.454 SE +/- 0.04407, N = 15 SE +/- 0.02155, N = 3 5.73687 4.22337 MIN: 5.47 MIN: 4.01 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU Ryzen 5 3600X Ryzen 5 5600X 16 32 48 64 80 SE +/- 0.09, N = 3 SE +/- 0.08, N = 3 71.46 68.37 MIN: 70 MIN: 67.42 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU Ryzen 5 3600X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.02579, N = 3 SE +/- 0.01194, N = 3 6.59016 4.92077 MIN: 6.32 MIN: 4.73 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU Ryzen 5 3600X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.11188, N = 3 SE +/- 0.01096, N = 3 9.02336 7.60324 MIN: 8.56 MIN: 7.37 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU Ryzen 5 3600X Ryzen 5 5600X 70 140 210 280 350 SE +/- 1.94, N = 3 SE +/- 0.23, N = 3 318.34 282.75 MIN: 312.42 MIN: 281.12 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Chimera 1080p Ryzen 5 3600X Ryzen 5 5600X 120 240 360 480 600 SE +/- 1.71, N = 3 SE +/- 0.25, N = 3 438.49 545.09 MIN: 334.01 / MAX: 673.67 MIN: 401.83 / MAX: 840.98 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Summer Nature 4K Ryzen 5 3600X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.07, N = 3 SE +/- 0.44, N = 3 145.19 173.18 MIN: 138.55 / MAX: 159.76 MIN: 163.49 / MAX: 194.95 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.7.0 Video Input: Chimera 1080p 10-bit Ryzen 5 3600X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 97.93 117.34 MIN: 63.93 / MAX: 233.22 MIN: 77.76 / MAX: 285.64 1. (CC) gcc options: -pthread
TTSIOD 3D Renderer A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping Ryzen 5 3600X Ryzen 5 5600X 120 240 360 480 600 SE +/- 0.23, N = 3 SE +/- 0.18, N = 3 420.46 576.38 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Ryzen 5 3600X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 19.26 24.53 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Ryzen 5 3600X Ryzen 5 5600X 1.1385 2.277 3.4155 4.554 5.6925 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 3.97 5.06 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Ryzen 5 3600X Ryzen 5 5600X 12 24 36 48 60 SE +/- 0.15, N = 3 SE +/- 0.29, N = 3 38.20 51.53 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Ryzen 5 3600X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.0234, N = 3 SE +/- 0.1142, N = 3 8.3025 10.3912 MIN: 8.23 / MAX: 8.46 MIN: 9.88 / MAX: 10.68
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Ryzen 5 3600X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.0493, N = 3 SE +/- 0.0495, N = 3 9.6303 11.9231 MIN: 9.54 / MAX: 9.84 MIN: 11.25 / MAX: 12.08
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Ryzen 5 3600X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.0507, N = 3 SE +/- 0.0501, N = 3 9.5120 12.1775 MIN: 9.4 / MAX: 9.74 MIN: 12 / MAX: 12.41
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Ryzen 5 3600X Ryzen 5 5600X 0.6662 1.3324 1.9986 2.6648 3.331 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 2.465 2.961 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Ryzen 5 3600X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 18.51 22.60 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Ryzen 5 3600X Ryzen 5 5600X 30 60 90 120 150 SE +/- 1.35, N = 3 SE +/- 2.49, N = 3 134.25 153.90 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Ryzen 5 3600X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.10, N = 3 SE +/- 0.55, N = 3 109.32 126.80 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.8.2 Speed: Speed 5 Ryzen 5 3600X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.08, N = 3 SE +/- 0.15, N = 3 25.99 32.83 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
x264 This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x264 2019-12-17 H.264 Video Encoding Ryzen 5 3600X Ryzen 5 5600X 20 40 60 80 100 SE +/- 1.15, N = 3 SE +/- 1.17, N = 4 77.19 93.58 1. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
Kvazaar This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow Ryzen 5 3600X Ryzen 5 5600X 1.161 2.322 3.483 4.644 5.805 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 4.50 5.16 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Ryzen 5 3600X Ryzen 5 5600X 1.1813 2.3626 3.5439 4.7252 5.9065 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 4.59 5.25 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow Ryzen 5 3600X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 17.89 20.47 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Ryzen 5 3600X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 18.36 20.98 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Ryzen 5 3600X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 12.75 14.63 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Ryzen 5 3600X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 22.84 26.22 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Ryzen 5 3600X Ryzen 5 5600X 12 24 36 48 60 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 48.14 55.56 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Ryzen 5 3600X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 85.57 99.92 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K Ryzen 5 3600X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 11.70 14.47 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark Ryzen 5 3600X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.14, N = 3 SE +/- 0.15, N = 3 94.03 125.94 MIN: 1 / MAX: 339 MIN: 1 / MAX: 503
LuxCoreRender LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: DLSC Ryzen 5 3600X Ryzen 5 5600X 0.3623 0.7246 1.0869 1.4492 1.8115 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 1.33 1.61 MIN: 1.26 / MAX: 1.37 MIN: 1.53 / MAX: 1.65
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.3 Scene: Rainbow Colors and Prism Ryzen 5 3600X Ryzen 5 5600X 0.3758 0.7516 1.1274 1.5032 1.879 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 1.42 1.67 MIN: 1.38 / MAX: 1.47 MIN: 1.62 / MAX: 1.73
Stockfish This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 9 Total Time Ryzen 5 3600X Ryzen 5 5600X 5M 10M 15M 20M 25M SE +/- 72350.39, N = 3 SE +/- 136771.99, N = 3 20871771 24584351 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 Ryzen 5 3600X Ryzen 5 5600X 1.1975 2.395 3.5925 4.79 5.9875 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 5.322 4.864 1. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 Ryzen 5 3600X Ryzen 5 5600X 1.1183 2.2366 3.3549 4.4732 5.5915 SE +/- 0.008, N = 3 SE +/- 0.011, N = 3 4.970 4.574 1. (CXX) g++ options: -O3 -fPIC
C-Ray This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Ryzen 5 3600X Ryzen 5 5600X 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 82.44 71.90 1. (CC) gcc options: -lm -lpthread -O3
POV-Ray This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time Ryzen 5 3600X Ryzen 5 5600X 13 26 39 52 65 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 58.73 50.22 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
Smallpt Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Smallpt 1.0 Global Illumination Renderer; 128 Samples Ryzen 5 3600X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 13.52 11.61 1. (CXX) g++ options: -fopenmp -O3
Tungsten Renderer Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair Ryzen 5 3600X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 33.17 27.20 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic Ryzen 5 3600X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 30.48 26.63 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential Ryzen 5 3600X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.02845, N = 3 SE +/- 0.00390, N = 3 10.43780 7.46449 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic Ryzen 5 3600X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 13.51 10.25 -march=znver1 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -march=core2 -mno-sse4.1 -mno-sse4.2 -mno-sse4a -mno-fma -mno-bmi2 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
YafaRay YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better YafaRay 3.4.1 Total Time For Sample Scene Ryzen 5 3600X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.22, N = 3 SE +/- 0.20, N = 3 180.78 146.32 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
DeepSpeech Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU Ryzen 5 3600X Ryzen 5 5600X 13 26 39 52 65 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 57.70 50.50
OpenBenchmarking.org Seconds, Fewer Is Better Perl Benchmarks Test: Interpreter Ryzen 5 3600X Ryzen 5 5600X 0.0002 0.0004 0.0006 0.0008 0.001 SE +/- 0.00000757, N = 3 SE +/- 0.00000439, N = 3 0.00073548 0.00068638
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 Ryzen 5 3600X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.07, N = 3 SE +/- 0.00, N = 3 18.26 15.88 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance Ryzen 5 3600X Ryzen 5 5600X 400 800 1200 1600 2000 SE +/- 0.12, N = 3 SE +/- 0.64, N = 3 1806.4 2027.3 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
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.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium Ryzen 5 3600X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 9.60 8.09 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough Ryzen 5 3600X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 34.37 28.89 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive Ryzen 5 3600X Ryzen 5 5600X 60 120 180 240 300 SE +/- 0.05, N = 3 SE +/- 0.37, N = 3 274.19 231.33 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Basis Universal Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: ETC1S Ryzen 5 3600X Ryzen 5 5600X 12 24 36 48 60 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 51.35 43.66 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 0 Ryzen 5 3600X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.015, N = 3 SE +/- 0.001, N = 3 7.620 6.141 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 2 Ryzen 5 3600X Ryzen 5 5600X 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 38.67 31.67 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.12 Settings: UASTC Level 3 Ryzen 5 3600X Ryzen 5 5600X 16 32 48 64 80 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 73.83 60.73 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop Ryzen 5 3600X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.080, N = 3 SE +/- 0.045, N = 3 8.026 6.752
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale Ryzen 5 3600X Ryzen 5 5600X 1.2438 2.4876 3.7314 4.9752 6.219 SE +/- 0.012, N = 3 SE +/- 0.015, N = 3 5.528 4.636
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect Ryzen 5 3600X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 29.67 25.06
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias Ryzen 5 3600X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 36.75 30.89
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance Ryzen 5 3600X Ryzen 5 5600X 12 24 36 48 60 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 55.21 46.15
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees Ryzen 5 3600X Ryzen 5 5600X 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 38.55 31.98
Inkscape Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Inkscape Operation: SVG Files To PNG Ryzen 5 3600X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 23.88 17.84 1. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
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.org Seconds, Fewer Is Better OCRMyPDF 9.6.0+dfsg Processing 60 Page PDF Document Ryzen 5 3600X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 30.15 25.31
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Ryzen 5 3600X Ryzen 5 5600X 20K 40K 60K 80K 100K SE +/- 328.34, N = 3 SE +/- 89.09, N = 3 97587 74254 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Ryzen 5 3600X Ryzen 5 5600X 50K 100K 150K 200K 250K SE +/- 1054.43, N = 3 SE +/- 166.56, N = 3 237908 193736 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Ryzen 5 3600X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.084, N = 3 SE +/- 0.052, N = 3 6.562 4.921 MIN: 6.33 / MAX: 8.06 MIN: 4.74 / MAX: 6.94 1. (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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 Ryzen 5 3600X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.17, N = 3 SE +/- 0.43, N = 3 30.26 25.04 MIN: 29.77 / MAX: 40.96 MIN: 24.34 / MAX: 37.43 1. (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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Ryzen 5 3600X Ryzen 5 5600X 0.891 1.782 2.673 3.564 4.455 SE +/- 0.049, N = 3 SE +/- 0.017, N = 3 3.960 2.691 MIN: 3.84 / MAX: 5.18 MIN: 2.63 / MAX: 4.15 1. (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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Ryzen 5 3600X Ryzen 5 5600X 8 16 24 32 40 SE +/- 0.24, N = 3 SE +/- 0.41, N = 3 36.02 31.65 MIN: 35.38 / MAX: 46.54 MIN: 30.81 / MAX: 42.27 1. (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 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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Ryzen 5 3600X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 17.88 12.37 MIN: 17.74 / MAX: 19.69 MIN: 12.21 / MAX: 26.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet Ryzen 5 3600X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 18.83 12.85 MIN: 18.42 / MAX: 19.87 MIN: 12.75 / MAX: 14.82 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 Ryzen 5 3600X Ryzen 5 5600X 1.269 2.538 3.807 5.076 6.345 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 5.64 3.10 MIN: 5.52 / MAX: 7.35 MIN: 3.03 / MAX: 4.25 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 Ryzen 5 3600X Ryzen 5 5600X 1.143 2.286 3.429 4.572 5.715 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 5.08 2.90 MIN: 4.97 / MAX: 6.88 MIN: 2.87 / MAX: 4.06 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 Ryzen 5 3600X Ryzen 5 5600X 2 4 6 8 10 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 7.36 4.24 MIN: 7.22 / MAX: 8.57 MIN: 4.15 / MAX: 5.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet Ryzen 5 3600X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 17.03 11.39 MIN: 16.81 / MAX: 18.21 MIN: 11.27 / MAX: 12.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 Ryzen 5 3600X Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.01, N = 2 17.57 12.71 MIN: 17.45 / MAX: 19.63 MIN: 12.62 / MAX: 13.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 Ryzen 5 3600X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 31.60 24.78 MIN: 31.38 / MAX: 32.98 MIN: 24.6 / MAX: 36.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny Ryzen 5 3600X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 29.79 20.39 MIN: 29.39 / MAX: 54.87 MIN: 20.15 / MAX: 21.63 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 Ryzen 5 3600X Ryzen 5 5600X 60 120 180 240 300 SE +/- 0.19, N = 3 SE +/- 0.21, N = 3 257.80 227.66 MIN: 253.88 / MAX: 275.98 MIN: 226.8 / MAX: 237.29 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 Ryzen 5 3600X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.65, N = 3 SE +/- 0.04, N = 3 240.28 216.96 MIN: 237.48 / MAX: 242.43 MIN: 216.75 / MAX: 217.19 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU Ryzen 5 3600X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.59 10.36
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU Ryzen 5 3600X Ryzen 5 5600X 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 8.94 10.27
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU Ryzen 5 3600X Ryzen 5 5600X 0.405 0.81 1.215 1.62 2.025 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.68 1.80 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU Ryzen 5 3600X Ryzen 5 5600X 0.4005 0.801 1.2015 1.602 2.0025 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.68 1.78 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU Ryzen 5 3600X Ryzen 5 5600X 0.2903 0.5806 0.8709 1.1612 1.4515 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.29 1.29 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU Ryzen 5 3600X Ryzen 5 5600X 0.288 0.576 0.864 1.152 1.44 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.28 1.26 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Ryzen 5 3600X Ryzen 5 5600X 1400 2800 4200 5600 7000 SE +/- 10.70, N = 3 SE +/- 5.04, N = 3 5795.79 6330.56 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU Ryzen 5 3600X Ryzen 5 5600X 1300 2600 3900 5200 6500 SE +/- 26.31, N = 3 SE +/- 3.08, N = 3 5700.85 6222.63 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Blender Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: BMW27 - Compute: CPU-Only Ryzen 5 3600X Ryzen 5 5600X 50 100 150 200 250 SE +/- 0.67, N = 3 SE +/- 0.15, N = 3 205.38 178.17
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only Ryzen 5 3600X Ryzen 5 5600X 130 260 390 520 650 SE +/- 0.62, N = 3 SE +/- 0.50, N = 3 596.32 525.71
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only Ryzen 5 3600X Ryzen 5 5600X 60 120 180 240 300 SE +/- 0.18, N = 3 SE +/- 0.15, N = 3 271.38 233.69
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times Ryzen 5 3600X Ryzen 5 5600X 200 400 600 800 1000 SE +/- 1.86, N = 3 SE +/- 1.15, N = 3 888 739
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Ryzen 5 3600X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.14, N = 3 SE +/- 0.22, N = 3 24.81 20.24
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Firefox Ryzen 5 3600X Ryzen 5 5600X 30 60 90 120 150 SE +/- 0.64, N = 3 SE +/- 0.48, N = 3 105.77 115.92 1. firefox 81.0
OpenBenchmarking.org Seconds, Fewer Is Better Selenium Benchmark: Maze Solver - Browser: Firefox Ryzen 5 3600X Ryzen 5 5600X 0.99 1.98 2.97 3.96 4.95 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 4.4 4.3 1. firefox 81.0
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: ARES-6 - Browser: Google Chrome Ryzen 5 3600X Ryzen 5 5600X 5 10 15 20 25 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 18.97 14.97 1. chrome 86.0.4240.75
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: Kraken - Browser: Google Chrome Ryzen 5 3600X Ryzen 5 5600X 160 320 480 640 800 SE +/- 1.07, N = 3 SE +/- 0.93, N = 3 721.3 606.8 1. chrome 86.0.4240.75
OpenBenchmarking.org Runs / Minute, More Is Better Selenium Benchmark: StyleBench - Browser: Google Chrome Ryzen 5 3600X Ryzen 5 5600X 10 20 30 40 50 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 35.33 43.45 1. chrome 86.0.4240.75
OpenBenchmarking.org Score, More Is Better Selenium Benchmark: Jetstream 2 - Browser: Google Chrome Ryzen 5 3600X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.55, N = 3 SE +/- 0.47, N = 3 148.98 185.20 1. chrome 86.0.4240.75
OpenBenchmarking.org Seconds, Fewer Is Better Selenium Benchmark: Maze Solver - Browser: Google Chrome Ryzen 5 3600X Ryzen 5 5600X 0.945 1.89 2.835 3.78 4.725 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 4.2 4.0 1. chrome 86.0.4240.75
OpenBenchmarking.org Runs Per Minute, More Is Better Selenium Benchmark: Speedometer - Browser: Google Chrome Ryzen 5 3600X Ryzen 5 5600X 40 80 120 160 200 SE +/- 0.25, N = 3 SE +/- 0.25, N = 3 136.5 163.2 1. chrome 86.0.4240.75
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Firefox Ryzen 5 3600X Ryzen 5 5600X 6 12 18 24 30 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 27.0 24.4 1. firefox 81.0
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Firefox Ryzen 5 3600X Ryzen 5 5600X 80 160 240 320 400 SE +/- 1.70, N = 3 SE +/- 0.37, N = 3 367.7 306.9 1. firefox 81.0
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM imageConvolute - Browser: Google Chrome Ryzen 5 3600X Ryzen 5 5600X 7 14 21 28 35 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 27.90 24.63 1. chrome 86.0.4240.75
OpenBenchmarking.org ms, Fewer Is Better Selenium Benchmark: WASM collisionDetection - Browser: Google Chrome Ryzen 5 3600X Ryzen 5 5600X 60 120 180 240 300 SE +/- 1.93, N = 3 SE +/- 0.08, N = 3 285.66 260.76 1. chrome 86.0.4240.75
Sunflow Rendering System This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis Ryzen 5 3600X Ryzen 5 5600X 0.3015 0.603 0.9045 1.206 1.5075 SE +/- 0.011, N = 15 SE +/- 0.016, N = 3 1.340 1.019 MIN: 1.16 / MAX: 1.86 MIN: 0.95 / MAX: 1.37
BRL-CAD BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.30.8 VGR Performance Metric Ryzen 5 3600X Ryzen 5 5600X 20K 40K 60K 80K 100K 93929 116652 1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm
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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 Ryzen 5 5600X 0.9659 1.9318 2.8977 3.8636 4.8295 SE +/- 0.002, N = 3 4.293 MIN: 4.25 / MAX: 4.64 1. (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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Ryzen 5 5600X 0.6458 1.2916 1.9374 2.5832 3.229 SE +/- 0.02, N = 3 2.87 MIN: 2.79 / MAX: 7.15 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Ryzen 5 5600X 0.2205 0.441 0.6615 0.882 1.1025 SE +/- 0.00, N = 3 0.98 MIN: 0.97 / MAX: 1.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Ryzen 5 5600X 14 28 42 56 70 SE +/- 0.18, N = 3 61.72 MIN: 60.76 / MAX: 66.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Ryzen 5 5600X 4 8 12 16 20 SE +/- 0.08, N = 3 15.30 MIN: 15.06 / MAX: 15.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU Ryzen 5 5600X 500 1000 1500 2000 2500 SE +/- 2.11, N = 3 2225.20 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU Ryzen 5 5600X 500 1000 1500 2000 2500 SE +/- 5.27, N = 3 2244.48 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU Ryzen 5 5600X 700 1400 2100 2800 3500 SE +/- 9.00, N = 3 3087.08 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU Ryzen 5 5600X 700 1400 2100 2800 3500 SE +/- 39.99, N = 3 3144.77 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU Ryzen 5 5600X 0.1395 0.279 0.4185 0.558 0.6975 SE +/- 0.00, N = 3 0.62 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU Ryzen 5 5600X 0.1418 0.2836 0.4254 0.5672 0.709 SE +/- 0.00, N = 3 0.63 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
Ryzen 5 3600X Processor: AMD Ryzen 5 3600X 6-Core @ 3.80GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2206 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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 -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 October 2020 10:56 by user phoronix.
Ryzen 5 5600X Processor: AMD Ryzen 5 5600X 6-Core @ 3.70GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (2311 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 20.04, Kernel: 5.9.0-050900-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa) (LLVM 11.0.0), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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 -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 2.7.18 + Python 3.8.5Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 5 November 2020 20:13 by user phoronix.