Ryzen 7 1700 Linux AMD

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 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 1910022-AS-RYZEN717090
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
AMD Ryzen 7 1700 Eight-Core
October 01 2019
  7 Hours, 25 Minutes
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Ryzen 7 1700 Linux AMDOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 1700 Eight-Core @ 3.00GHz (8 Cores / 16 Threads)MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS)AMD 17h16384MB120GB Samsung SSD 840AMD Radeon RX 470/480/570/570X/580/580X/590 (1266/2000MHz)AMD Ellesmere HDMI AudioDELL S2409WRealtek RTL8111/8168/8411Ubuntu 19.105.3.0-13-generic (x86_64)GNOME Shell 3.34.0X Server 1.20.5amdgpu 19.0.14.5 Mesa 19.1.6 (LLVM 8.0.1)GCC 9.2.1 20190909ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionRyzen 7 1700 Linux AMD BenchmarksSystem Logs- --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 - Scaling Governor: acpi-cpufreq ondemand- 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

Ryzen 7 1700 Linux AMDqmcpack: mkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8u8s32mkl-dnn: IP Batch 1D - u8s8f32s32mkl-dnn: IP Batch All - u8s8u8s32mkl-dnn: IP Batch All - u8s8f32s32mkl-dnn: Convolution Batch conv_3d - f32mkl-dnn: Convolution Batch conv_all - f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: Deconvolution Batch deconv_all - f32mkl-dnn: Convolution Batch conv_3d - u8s8u8s32mkl-dnn: Convolution Batch conv_3d - u8s8f32s32mkl-dnn: Convolution Batch conv_all - u8s8u8s32mkl-dnn: Convolution Batch conv_all - u8s8f32s32mkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_3d - u8s8u8s32mkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32s32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32s32mkl-dnn: Deconvolution Batch deconv_all - u8s8u8s32mkl-dnn: Convolution Batch conv_alexnet - u8s8f32s32mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8u8s32mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32s32ospray: San Miguel - SciVisospray: XFrog Forest - SciVisospray: San Miguel - Path Tracerospray: NASA Streamlines - SciVisospray: XFrog Forest - Path Tracerospray: Magnetic Reconnection - SciVisospray: NASA Streamlines - Path Tracerospray: Magnetic Reconnection - Path Tracerembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objoidn: Memorialluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismtungsten: Hairtungsten: Water Caustictungsten: Non-Exponentialtungsten: Volumetric CausticAMD Ryzen 7 1700 Eight-Core580.4026.18324.3783.4382.70742.37737.6544.867267.5542.7518.54950.378201.6816635.8316628.1070510.2769245.72401.156359.5910489.736908.916273.8810502.2349353.806912.513672.573670.027.821.400.6510.400.745.882.0590.917.036.578.177.317.886.802.971.381.3335.5236.5910.6914.21OpenBenchmarking.org

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.8AMD Ryzen 7 1700 Eight-Core130260390520650580.401. (CXX) g++ options: -fopenmp -fomit-frame-pointer -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -march=native -O3 -ffast-math -lm

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel Library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: f32AMD Ryzen 7 1700 Eight-Core612182430SE +/- 0.11, N = 326.18MIN: 25.891. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: f32AMD Ryzen 7 1700 Eight-Core70140210280350SE +/- 0.86, N = 3324.37MIN: 321.491. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8u8s32AMD Ryzen 7 1700 Eight-Core20406080100SE +/- 0.11, N = 383.43MIN: 82.241. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch 1D - Data Type: u8s8f32s32AMD Ryzen 7 1700 Eight-Core20406080100SE +/- 0.34, N = 382.70MIN: 80.491. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8u8s32AMD Ryzen 7 1700 Eight-Core160320480640800SE +/- 4.15, N = 3742.37MIN: 729.81. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: IP Batch All - Data Type: u8s8f32s32AMD Ryzen 7 1700 Eight-Core160320480640800SE +/- 5.82, N = 3737.65MIN: 723.921. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: f32AMD Ryzen 7 1700 Eight-Core1020304050SE +/- 0.30, N = 344.86MIN: 41.911. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: f32AMD Ryzen 7 1700 Eight-Core16003200480064008000SE +/- 4.98, N = 37267.55MIN: 7213.121. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: f32AMD Ryzen 7 1700 Eight-Core1020304050SE +/- 0.02, N = 342.75MIN: 42.041. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: f32AMD Ryzen 7 1700 Eight-Core510152025SE +/- 0.17, N = 318.54MIN: 18.091. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: f32AMD Ryzen 7 1700 Eight-Core2004006008001000SE +/- 1.33, N = 3950.37MIN: 945.431. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: f32AMD Ryzen 7 1700 Eight-Core2K4K6K8K10KSE +/- 10.70, N = 38201.68MIN: 8043.011. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32AMD Ryzen 7 1700 Eight-Core4K8K12K16K20KSE +/- 25.04, N = 316635.83MIN: 16483.81. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32AMD Ryzen 7 1700 Eight-Core4K8K12K16K20KSE +/- 17.94, N = 316628.10MIN: 16511.21. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8u8s32AMD Ryzen 7 1700 Eight-Core15K30K45K60K75KSE +/- 196.90, N = 370510.27MIN: 69889.81. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8f32s32AMD Ryzen 7 1700 Eight-Core15K30K45K60K75KSE +/- 907.39, N = 569245.72MIN: 65162.31. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32AMD Ryzen 7 1700 Eight-Core90180270360450SE +/- 0.19, N = 3401.15MIN: 393.881. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32AMD Ryzen 7 1700 Eight-Core14002800420056007000SE +/- 70.63, N = 76359.59MIN: 6229.061. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32AMD Ryzen 7 1700 Eight-Core2K4K6K8K10KSE +/- 12.29, N = 310489.73MIN: 10435.11. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32AMD Ryzen 7 1700 Eight-Core15003000450060007500SE +/- 10.21, N = 36908.91MIN: 6844.111. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32AMD Ryzen 7 1700 Eight-Core13002600390052006500SE +/- 2.96, N = 36273.88MIN: 6205.821. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32AMD Ryzen 7 1700 Eight-Core2K4K6K8K10KSE +/- 1.44, N = 310502.23MIN: 10441.11. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32AMD Ryzen 7 1700 Eight-Core11K22K33K44K55KSE +/- 564.60, N = 349353.80MIN: 47794.51. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32AMD Ryzen 7 1700 Eight-Core15003000450060007500SE +/- 14.61, N = 36912.51MIN: 6854.111. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32AMD Ryzen 7 1700 Eight-Core8001600240032004000SE +/- 51.71, N = 123672.57MIN: 3080.651. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32AMD Ryzen 7 1700 Eight-Core8001600240032004000SE +/- 34.56, N = 113670.02MIN: 3304.371. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisAMD Ryzen 7 1700 Eight-Core246810SE +/- 0.01, N = 57.82MIN: 7.69 / MAX: 8.33

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisAMD Ryzen 7 1700 Eight-Core0.3150.630.9451.261.575SE +/- 0.00, N = 121.40MIN: 1.38 / MAX: 1.41

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerAMD Ryzen 7 1700 Eight-Core0.14630.29260.43890.58520.7315SE +/- 0.00, N = 30.65MIN: 0.64

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisAMD Ryzen 7 1700 Eight-Core3691215SE +/- 0.02, N = 710.40MIN: 10.1 / MAX: 10.53

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerAMD Ryzen 7 1700 Eight-Core0.16650.3330.49950.6660.8325SE +/- 0.00, N = 40.74MAX: 0.75

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisAMD Ryzen 7 1700 Eight-Core1.3232.6463.9695.2926.615SE +/- 0.00, N = 125.88MIN: 5.71 / MAX: 5.95

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerAMD Ryzen 7 1700 Eight-Core0.46130.92261.38391.84522.3065SE +/- 0.00, N = 32.05MIN: 2.02 / MAX: 2.08

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerAMD Ryzen 7 1700 Eight-Core20406080100SE +/- 0.00, N = 1390.91MIN: 71.43 / MAX: 100

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: CrownAMD Ryzen 7 1700 Eight-Core246810SE +/- 0.01, N = 37.03MIN: 6.98 / MAX: 7.15

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: CrownAMD Ryzen 7 1700 Eight-Core246810SE +/- 0.00, N = 36.57MIN: 6.53 / MAX: 6.68

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: Asian DragonAMD Ryzen 7 1700 Eight-Core246810SE +/- 0.02, N = 38.17MIN: 8.1 / MAX: 8.28

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: Asian Dragon ObjAMD Ryzen 7 1700 Eight-Core246810SE +/- 0.01, N = 37.31MIN: 7.27 / MAX: 7.41

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: Asian DragonAMD Ryzen 7 1700 Eight-Core246810SE +/- 0.00, N = 37.88MIN: 7.84 / MAX: 7.96

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjAMD Ryzen 7 1700 Eight-Core246810SE +/- 0.00, N = 36.80MIN: 6.77 / MAX: 6.88

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.0.0Scene: MemorialAMD Ryzen 7 1700 Eight-Core0.66831.33662.00492.67323.3415SE +/- 0.01, N = 32.97

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.orgM samples/sec, More Is BetterLuxCoreRender 2.2Scene: DLSCAMD Ryzen 7 1700 Eight-Core0.31050.6210.93151.2421.5525SE +/- 0.01, N = 31.38MIN: 1.31 / MAX: 1.43

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.2Scene: Rainbow Colors and PrismAMD Ryzen 7 1700 Eight-Core0.29930.59860.89791.19721.4965SE +/- 0.02, N = 31.33MIN: 1.26 / MAX: 1.42

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.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairAMD Ryzen 7 1700 Eight-Core816243240SE +/- 0.03, N = 335.521. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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 -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticAMD Ryzen 7 1700 Eight-Core816243240SE +/- 0.06, N = 336.591. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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 -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialAMD Ryzen 7 1700 Eight-Core3691215SE +/- 0.02, N = 310.691. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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 -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticAMD Ryzen 7 1700 Eight-Core48121620SE +/- 0.04, N = 314.211. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -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 -ljpeg -lpthread -ldl

48 Results Shown

QMCPACK
MKL-DNN:
  IP Batch 1D - f32
  IP Batch All - f32
  IP Batch 1D - u8s8u8s32
  IP Batch 1D - u8s8f32s32
  IP Batch All - u8s8u8s32
  IP Batch All - u8s8f32s32
  Convolution Batch conv_3d - f32
  Convolution Batch conv_all - f32
  Deconvolution Batch deconv_1d - f32
  Deconvolution Batch deconv_3d - f32
  Convolution Batch conv_alexnet - f32
  Deconvolution Batch deconv_all - f32
  Convolution Batch conv_3d - u8s8u8s32
  Convolution Batch conv_3d - u8s8f32s32
  Convolution Batch conv_all - u8s8u8s32
  Convolution Batch conv_all - u8s8f32s32
  Convolution Batch conv_googlenet_v3 - f32
  Deconvolution Batch deconv_1d - u8s8u8s32
  Deconvolution Batch deconv_3d - u8s8u8s32
  Convolution Batch conv_alexnet - u8s8u8s32
  Deconvolution Batch deconv_1d - u8s8f32s32
  Deconvolution Batch deconv_3d - u8s8f32s32
  Deconvolution Batch deconv_all - u8s8u8s32
  Convolution Batch conv_alexnet - u8s8f32s32
  Convolution Batch conv_googlenet_v3 - u8s8u8s32
  Convolution Batch conv_googlenet_v3 - u8s8f32s32
OSPray:
  San Miguel - SciVis
  XFrog Forest - SciVis
  San Miguel - Path Tracer
  NASA Streamlines - SciVis
  XFrog Forest - Path Tracer
  Magnetic Reconnection - SciVis
  NASA Streamlines - Path Tracer
  Magnetic Reconnection - Path Tracer
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
Intel Open Image Denoise
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
Tungsten Renderer:
  Hair
  Water Caustic
  Non-Exponential
  Volumetric Caustic