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.
HTML result view exported from: https://openbenchmarking.org/result/1910022-AS-RYZEN717090&grw .
Ryzen 7 1700 Linux AMD Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution AMD Ryzen 7 1700 Eight-Core AMD Ryzen 7 1700 Eight-Core @ 3.00GHz (8 Cores / 16 Threads) MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS) AMD 17h 16384MB 120GB Samsung SSD 840 AMD Radeon RX 470/480/570/570X/580/580X/590 (1266/2000MHz) AMD Ellesmere HDMI Audio DELL S2409W Realtek RTL8111/8168/8411 Ubuntu 19.10 5.3.0-13-generic (x86_64) GNOME Shell 3.34.0 X Server 1.20.5 amdgpu 19.0.1 4.5 Mesa 19.1.6 (LLVM 8.0.1) GCC 9.2.1 20190909 ext4 1920x1080 OpenBenchmarking.org - --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 AMD mkl-dnn: Convolution Batch conv_all - u8s8u8s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32s32 mkl-dnn: Convolution Batch conv_3d - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32s32 mkl-dnn: IP Batch 1D - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8u8s32 mkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32 mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: Convolution Batch conv_all - f32 mkl-dnn: IP Batch All - u8s8u8s32 mkl-dnn: IP Batch All - u8s8f32s32 mkl-dnn: IP Batch 1D - u8s8f32s32 mkl-dnn: IP Batch 1D - u8s8u8s32 mkl-dnn: IP Batch All - f32 mkl-dnn: Convolution Batch conv_all - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8u8s32 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_all - f32 mkl-dnn: Deconvolution Batch deconv_all - u8s8u8s32 mkl-dnn: Convolution Batch conv_3d - u8s8u8s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8u8s32 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32s32 qmcpack: tungsten: Hair tungsten: Water Caustic tungsten: Non-Exponential tungsten: Volumetric Caustic embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon embree: Pathtracer - Asian Dragon Obj embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj oidn: Memorial luxcorerender: DLSC luxcorerender: Rainbow Colors and Prism ospray: San Miguel - SciVis ospray: XFrog Forest - SciVis ospray: San Miguel - Path Tracer ospray: NASA Streamlines - SciVis ospray: XFrog Forest - Path Tracer ospray: Magnetic Reconnection - SciVis ospray: NASA Streamlines - Path Tracer ospray: Magnetic Reconnection - Path Tracer AMD Ryzen 7 1700 Eight-Core 70510.27 3670.02 16628.10 10502.23 26.18 6359.59 6908.91 44.86 7267.55 742.37 737.65 82.70 83.43 324.37 69245.72 42.75 401.15 18.54 10489.73 950.37 6273.88 8201.68 49353.80 16635.83 3672.57 6912.51 580.40 35.52 36.59 10.69 14.21 7.03 6.57 8.17 7.31 7.88 6.80 2.97 1.38 1.33 7.82 1.40 0.65 10.40 0.74 5.88 2.05 90.91 OpenBenchmarking.org
MKL-DNN Harness: Convolution Batch conv_all - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8u8s32 AMD Ryzen 7 1700 Eight-Core 15K 30K 45K 60K 75K SE +/- 196.90, N = 3 70510.27 MIN: 69889.8 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32 AMD Ryzen 7 1700 Eight-Core 800 1600 2400 3200 4000 SE +/- 34.56, N = 11 3670.02 MIN: 3304.37 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32 AMD Ryzen 7 1700 Eight-Core 4K 8K 12K 16K 20K SE +/- 17.94, N = 3 16628.10 MIN: 16511.2 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32 AMD Ryzen 7 1700 Eight-Core 2K 4K 6K 8K 10K SE +/- 1.44, N = 3 10502.23 MIN: 10441.1 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch 1D - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: f32 AMD Ryzen 7 1700 Eight-Core 6 12 18 24 30 SE +/- 0.11, N = 3 26.18 MIN: 25.89 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32 AMD Ryzen 7 1700 Eight-Core 1400 2800 4200 5600 7000 SE +/- 70.63, N = 7 6359.59 MIN: 6229.06 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32 AMD Ryzen 7 1700 Eight-Core 1500 3000 4500 6000 7500 SE +/- 10.21, N = 3 6908.91 MIN: 6844.11 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_3d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: f32 AMD Ryzen 7 1700 Eight-Core 10 20 30 40 50 SE +/- 0.30, N = 3 44.86 MIN: 41.91 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_all - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: f32 AMD Ryzen 7 1700 Eight-Core 1600 3200 4800 6400 8000 SE +/- 4.98, N = 3 7267.55 MIN: 7213.12 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch All - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: u8s8u8s32 AMD Ryzen 7 1700 Eight-Core 160 320 480 640 800 SE +/- 4.15, N = 3 742.37 MIN: 729.8 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch All - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: u8s8f32s32 AMD Ryzen 7 1700 Eight-Core 160 320 480 640 800 SE +/- 5.82, N = 3 737.65 MIN: 723.92 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch 1D - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: u8s8f32s32 AMD Ryzen 7 1700 Eight-Core 20 40 60 80 100 SE +/- 0.34, N = 3 82.70 MIN: 80.49 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch 1D - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: u8s8u8s32 AMD Ryzen 7 1700 Eight-Core 20 40 60 80 100 SE +/- 0.11, N = 3 83.43 MIN: 82.24 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: IP Batch All - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: f32 AMD Ryzen 7 1700 Eight-Core 70 140 210 280 350 SE +/- 0.86, N = 3 324.37 MIN: 321.49 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_all - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8f32s32 AMD Ryzen 7 1700 Eight-Core 15K 30K 45K 60K 75K SE +/- 907.39, N = 5 69245.72 MIN: 65162.3 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_1d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: f32 AMD Ryzen 7 1700 Eight-Core 10 20 30 40 50 SE +/- 0.02, N = 3 42.75 MIN: 42.04 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 AMD Ryzen 7 1700 Eight-Core 90 180 270 360 450 SE +/- 0.19, N = 3 401.15 MIN: 393.88 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_3d - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: f32 AMD Ryzen 7 1700 Eight-Core 5 10 15 20 25 SE +/- 0.17, N = 3 18.54 MIN: 18.09 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32 AMD Ryzen 7 1700 Eight-Core 2K 4K 6K 8K 10K SE +/- 12.29, N = 3 10489.73 MIN: 10435.1 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_alexnet - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: f32 AMD Ryzen 7 1700 Eight-Core 200 400 600 800 1000 SE +/- 1.33, N = 3 950.37 MIN: 945.43 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32 AMD Ryzen 7 1700 Eight-Core 1300 2600 3900 5200 6500 SE +/- 2.96, N = 3 6273.88 MIN: 6205.82 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_all - Data Type: f32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: f32 AMD Ryzen 7 1700 Eight-Core 2K 4K 6K 8K 10K SE +/- 10.70, N = 3 8201.68 MIN: 8043.01 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32 AMD Ryzen 7 1700 Eight-Core 11K 22K 33K 44K 55K SE +/- 564.60, N = 3 49353.80 MIN: 47794.5 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32 AMD Ryzen 7 1700 Eight-Core 4K 8K 12K 16K 20K SE +/- 25.04, N = 3 16635.83 MIN: 16483.8 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32 AMD Ryzen 7 1700 Eight-Core 800 1600 2400 3200 4000 SE +/- 51.71, N = 12 3672.57 MIN: 3080.65 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32 AMD Ryzen 7 1700 Eight-Core 1500 3000 4500 6000 7500 SE +/- 14.61, N = 3 6912.51 MIN: 6854.11 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
QMCPACK OpenBenchmarking.org Total Execution Time - Seconds, Fewer Is Better QMCPACK 3.8 AMD Ryzen 7 1700 Eight-Core 130 260 390 520 650 580.40 1. (CXX) g++ options: -fopenmp -fomit-frame-pointer -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -march=native -O3 -ffast-math -lm
Tungsten Renderer Scene: Hair OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair AMD Ryzen 7 1700 Eight-Core 8 16 24 32 40 SE +/- 0.03, N = 3 35.52 1. (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
Tungsten Renderer Scene: Water Caustic OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic AMD Ryzen 7 1700 Eight-Core 8 16 24 32 40 SE +/- 0.06, N = 3 36.59 1. (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
Tungsten Renderer Scene: Non-Exponential OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential AMD Ryzen 7 1700 Eight-Core 3 6 9 12 15 SE +/- 0.02, N = 3 10.69 1. (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
Tungsten Renderer Scene: Volumetric Caustic OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic AMD Ryzen 7 1700 Eight-Core 4 8 12 16 20 SE +/- 0.04, N = 3 14.21 1. (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
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Crown AMD Ryzen 7 1700 Eight-Core 2 4 6 8 10 SE +/- 0.01, N = 3 7.03 MIN: 6.98 / MAX: 7.15
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Crown AMD Ryzen 7 1700 Eight-Core 2 4 6 8 10 SE +/- 0.00, N = 3 6.57 MIN: 6.53 / MAX: 6.68
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon AMD Ryzen 7 1700 Eight-Core 2 4 6 8 10 SE +/- 0.02, N = 3 8.17 MIN: 8.1 / MAX: 8.28
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Obj AMD Ryzen 7 1700 Eight-Core 2 4 6 8 10 SE +/- 0.01, N = 3 7.31 MIN: 7.27 / MAX: 7.41
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon AMD Ryzen 7 1700 Eight-Core 2 4 6 8 10 SE +/- 0.00, N = 3 7.88 MIN: 7.84 / MAX: 7.96
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj AMD Ryzen 7 1700 Eight-Core 2 4 6 8 10 SE +/- 0.00, N = 3 6.80 MIN: 6.77 / MAX: 6.88
Intel Open Image Denoise Scene: Memorial OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.0.0 Scene: Memorial AMD Ryzen 7 1700 Eight-Core 0.6683 1.3366 2.0049 2.6732 3.3415 SE +/- 0.01, N = 3 2.97
LuxCoreRender Scene: DLSC OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: DLSC AMD Ryzen 7 1700 Eight-Core 0.3105 0.621 0.9315 1.242 1.5525 SE +/- 0.01, N = 3 1.38 MIN: 1.31 / MAX: 1.43
LuxCoreRender Scene: Rainbow Colors and Prism OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: Rainbow Colors and Prism AMD Ryzen 7 1700 Eight-Core 0.2993 0.5986 0.8979 1.1972 1.4965 SE +/- 0.02, N = 3 1.33 MIN: 1.26 / MAX: 1.42
OSPray Demo: San Miguel - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis AMD Ryzen 7 1700 Eight-Core 2 4 6 8 10 SE +/- 0.01, N = 5 7.82 MIN: 7.69 / MAX: 8.33
OSPray Demo: XFrog Forest - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis AMD Ryzen 7 1700 Eight-Core 0.315 0.63 0.945 1.26 1.575 SE +/- 0.00, N = 12 1.40 MIN: 1.38 / MAX: 1.41
OSPray Demo: San Miguel - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer AMD Ryzen 7 1700 Eight-Core 0.1463 0.2926 0.4389 0.5852 0.7315 SE +/- 0.00, N = 3 0.65 MIN: 0.64
OSPray Demo: NASA Streamlines - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis AMD Ryzen 7 1700 Eight-Core 3 6 9 12 15 SE +/- 0.02, N = 7 10.40 MIN: 10.1 / MAX: 10.53
OSPray Demo: XFrog Forest - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer AMD Ryzen 7 1700 Eight-Core 0.1665 0.333 0.4995 0.666 0.8325 SE +/- 0.00, N = 4 0.74 MAX: 0.75
OSPray Demo: Magnetic Reconnection - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis AMD Ryzen 7 1700 Eight-Core 1.323 2.646 3.969 5.292 6.615 SE +/- 0.00, N = 12 5.88 MIN: 5.71 / MAX: 5.95
OSPray Demo: NASA Streamlines - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer AMD Ryzen 7 1700 Eight-Core 0.4613 0.9226 1.3839 1.8452 2.3065 SE +/- 0.00, N = 3 2.05 MIN: 2.02 / MAX: 2.08
OSPray Demo: Magnetic Reconnection - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer AMD Ryzen 7 1700 Eight-Core 20 40 60 80 100 SE +/- 0.00, N = 13 90.91 MIN: 71.43 / MAX: 100
Phoronix Test Suite v10.8.5