AMD Ryzen 9 3900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1001 BIOS) and AMD Radeon RX 64 8GB on Ubuntu 19.04 via the Phoronix Test Suite.
AMD Ryzen 9 3900X 12-Core Processor: AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1001 BIOS), Chipset: AMD Starship/Matisse, Memory: 16384MB, Disk: 2000GB Force MP600, Graphics: AMD Radeon RX 64 8GB (1630/945MHz), Audio: AMD Device aaf8, Monitor: ASUS VP28U, Network: Realtek Device 8125 + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 19.04, Kernel: 5.3.0-999-generic (x86_64) 20190909, Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.5 Mesa 19.0.8 (LLVM 8.0.0), Compiler: GCC 8.3.0 + Clang 10.0.0-svn371485-1~exp1+0~20190910040723.259~1.gbp13c8b7, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemandSecurity Notes: 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: always-on RSB filling
Ryzen 9 3900X Test OpenBenchmarking.org Phoronix Test Suite AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads) ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1001 BIOS) AMD Starship/Matisse 16384MB 2000GB Force MP600 AMD Radeon RX 64 8GB (1630/945MHz) AMD Device aaf8 ASUS VP28U Realtek Device 8125 + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 19.04 5.3.0-999-generic (x86_64) 20190909 GNOME Shell 3.32.2 X Server 1.20.4 modesetting 1.20.4 4.5 Mesa 19.0.8 (LLVM 8.0.0) GCC 8.3.0 + Clang 10.0.0-svn371485-1~exp1+0~20190910040723.259~1.gbp13c8b7 ext4 3840x2160 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Ryzen 9 3900X Test Benchmarks System 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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --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: always-on RSB filling
Ryzen 9 3900X Test mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 lczero: BLAS mkl-dnn: IP Batch All - u8s8f32 mkl-dnn: IP Batch All - f32 mkl-dnn: IP Batch 1D - u8s8f32 lczero: Rand mkl-dnn: IP Batch 1D - f32 aom-av1: AV1 Video Encoding libgav1: Chimera 1080p libgav1: Summer Nature 4K libgav1: Summer Nature 1080p libgav1: Chimera 1080p 10-bit mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: Convolution Batch conv_all - f32 tungsten: Hair mkl-dnn: Recurrent Neural Network Training - f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32 mkl-dnn: Convolution Batch conv_all - u8s8f32 mkl-dnn: Deconvolution Batch deconv_all - f32 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Convolution Batch conv_3d - u8s8f32 tungsten: Water Caustic tungsten: Non-Exponential tungsten: Volumetric Caustic dav1d: Chimera 1080p dav1d: Summer Nature 4K dav1d: Summer Nature 1080p dav1d: Chimera 1080p 10-bit svt-av1: Enc Mode 0 - 1080p svt-av1: Enc Mode 4 - 1080p svt-av1: Enc Mode 8 - 1080p 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 9 3900X 12-Core 114.62 21.25 266.88 29.82 49.00 128674 4.36 0.14 52.67 24.82 82.19 19.05 18.80 2066.76 17.46 259.17 1884.52 4225.66 3298.80 5659.93 36833.83 3016.27 253.06 4.93 4.23 9935.65 23.90 7.05 7.60 487.78 174.94 469.72 69.05 0.08 4.71 46.26 15.40 14.71 16.55 14.80 16.47 14.18 10.29 2.29 2.19 19.23 3.58 1.46 27.21 1.87 12.86 5.56 200 OpenBenchmarking.org
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 AMD Ryzen 9 3900X 12-Core 30 60 90 120 150 SE +/- 0.13, N = 3 114.62 MIN: 108.97 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: u8s8f32 AMD Ryzen 9 3900X 12-Core 60 120 180 240 300 SE +/- 0.74, N = 3 266.88 MIN: 260.39 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: f32 AMD Ryzen 9 3900X 12-Core 7 14 21 28 35 SE +/- 0.03, N = 3 29.82 MIN: 29.48 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: u8s8f32 AMD Ryzen 9 3900X 12-Core 11 22 33 44 55 SE +/- 0.01, N = 3 49.00 MIN: 48.09 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: f32 AMD Ryzen 9 3900X 12-Core 0.981 1.962 2.943 3.924 4.905 SE +/- 0.02, N = 3 4.36 MIN: 4.17 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: f32 AMD Ryzen 9 3900X 12-Core 5 10 15 20 25 SE +/- 0.07, N = 3 18.80 MIN: 18.24 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: f32 AMD Ryzen 9 3900X 12-Core 400 800 1200 1600 2000 SE +/- 4.07, N = 3 2066.76 MIN: 2045.91 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
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 AMD Ryzen 9 3900X 12-Core 4 8 12 16 20 SE +/- 0.03, N = 3 17.46 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
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) 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. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Recurrent Neural Network Training - Data Type: f32 AMD Ryzen 9 3900X 12-Core 60 120 180 240 300 SE +/- 0.93, N = 3 259.17 MIN: 243.83 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 AMD Ryzen 9 3900X 12-Core 400 800 1200 1600 2000 SE +/- 3.51, N = 3 1884.52 MIN: 1804.32 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 AMD Ryzen 9 3900X 12-Core 900 1800 2700 3600 4500 SE +/- 9.51, N = 3 4225.66 MIN: 4138.61 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 AMD Ryzen 9 3900X 12-Core 700 1400 2100 2800 3500 SE +/- 0.58, N = 3 3298.80 MIN: 3283.88 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 AMD Ryzen 9 3900X 12-Core 1200 2400 3600 4800 6000 SE +/- 7.45, N = 3 5659.93 MIN: 5632.47 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: u8s8f32 AMD Ryzen 9 3900X 12-Core 8K 16K 24K 32K 40K SE +/- 33.08, N = 3 36833.83 MIN: 36362.3 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: f32 AMD Ryzen 9 3900X 12-Core 600 1200 1800 2400 3000 SE +/- 25.10, N = 3 3016.27 MIN: 2938.39 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: f32 AMD Ryzen 9 3900X 12-Core 60 120 180 240 300 SE +/- 0.66, N = 3 253.06 MIN: 251.13 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: f32 AMD Ryzen 9 3900X 12-Core 1.1093 2.2186 3.3279 4.4372 5.5465 SE +/- 0.01, N = 3 4.93 MIN: 4.84 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: f32 AMD Ryzen 9 3900X 12-Core 0.9518 1.9036 2.8554 3.8072 4.759 SE +/- 0.00, N = 3 4.23 MIN: 4.12 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: u8s8f32 AMD Ryzen 9 3900X 12-Core 2K 4K 6K 8K 10K SE +/- 4.21, N = 3 9935.65 MIN: 9915.7 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
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: Water Caustic AMD Ryzen 9 3900X 12-Core 6 12 18 24 30 SE +/- 0.07, N = 3 23.90 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
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential AMD Ryzen 9 3900X 12-Core 2 4 6 8 10 SE +/- 0.01, N = 3 7.05 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
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic AMD Ryzen 9 3900X 12-Core 2 4 6 8 10 SE +/- 0.01, N = 3 7.60 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
OpenBenchmarking.org FPS, More Is Better dav1d 0.4.0 Video Input: Summer Nature 4K AMD Ryzen 9 3900X 12-Core 40 80 120 160 200 SE +/- 0.28, N = 3 174.94 MIN: 144.12 / MAX: 187.06 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.4.0 Video Input: Summer Nature 1080p AMD Ryzen 9 3900X 12-Core 100 200 300 400 500 SE +/- 1.16, N = 3 469.72 MIN: 357.74 / MAX: 506.19 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.4.0 Video Input: Chimera 1080p 10-bit AMD Ryzen 9 3900X 12-Core 15 30 45 60 75 SE +/- 0.05, N = 3 69.05 MIN: 43.04 / MAX: 159.03 1. (CC) gcc options: -pthread
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 0.7 Encoder Mode: Enc Mode 0 - Input: 1080p AMD Ryzen 9 3900X 12-Core 0.018 0.036 0.054 0.072 0.09 SE +/- 0.00, N = 6 0.08 1. (CXX) g++ options: -fPIE -fPIC -pie
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.7 Encoder Mode: Enc Mode 4 - Input: 1080p AMD Ryzen 9 3900X 12-Core 1.0598 2.1196 3.1794 4.2392 5.299 SE +/- 0.01, N = 3 4.71 1. (CXX) g++ options: -fPIE -fPIC -pie
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.7 Encoder Mode: Enc Mode 8 - Input: 1080p AMD Ryzen 9 3900X 12-Core 10 20 30 40 50 SE +/- 0.16, N = 3 46.26 1. (CXX) g++ options: -fPIE -fPIC -pie
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Crown AMD Ryzen 9 3900X 12-Core 4 8 12 16 20 SE +/- 0.01, N = 3 14.71 MIN: 14.58 / MAX: 14.95
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon AMD Ryzen 9 3900X 12-Core 4 8 12 16 20 SE +/- 0.02, N = 3 16.55 MIN: 16.43 / MAX: 16.89
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Obj AMD Ryzen 9 3900X 12-Core 4 8 12 16 20 SE +/- 0.01, N = 3 14.80 MIN: 14.7 / MAX: 15.05
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon AMD Ryzen 9 3900X 12-Core 4 8 12 16 20 SE +/- 0.01, N = 3 16.47 MIN: 16.37 / MAX: 16.75
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj AMD Ryzen 9 3900X 12-Core 4 8 12 16 20 SE +/- 0.01, N = 3 14.18 MIN: 14.09 / MAX: 14.43
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: Rainbow Colors and Prism AMD Ryzen 9 3900X 12-Core 0.4928 0.9856 1.4784 1.9712 2.464 SE +/- 0.03, N = 15 2.19 MIN: 2 / MAX: 2.39
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.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis AMD Ryzen 9 3900X 12-Core 5 10 15 20 25 SE +/- 0.00, N = 12 19.23 MIN: 18.18 / MAX: 20.41
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis AMD Ryzen 9 3900X 12-Core 0.8055 1.611 2.4165 3.222 4.0275 SE +/- 0.00, N = 3 3.58 MIN: 3.48 / MAX: 3.61
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer AMD Ryzen 9 3900X 12-Core 0.3285 0.657 0.9855 1.314 1.6425 SE +/- 0.00, N = 3 1.46 MIN: 1.44 / MAX: 1.47
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis AMD Ryzen 9 3900X 12-Core 6 12 18 24 30 SE +/- 0.19, N = 4 27.21 MIN: 25 / MAX: 27.78
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer AMD Ryzen 9 3900X 12-Core 0.4208 0.8416 1.2624 1.6832 2.104 SE +/- 0.00, N = 3 1.87 MIN: 1.85 / MAX: 1.9
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis AMD Ryzen 9 3900X 12-Core 3 6 9 12 15 SE +/- 0.04, N = 4 12.86 MIN: 12.05 / MAX: 13.16
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer AMD Ryzen 9 3900X 12-Core 1.251 2.502 3.753 5.004 6.255 SE +/- 0.00, N = 15 5.56 MIN: 5.41 / MAX: 5.65
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer AMD Ryzen 9 3900X 12-Core 40 80 120 160 200 200 MIN: 166.67 / MAX: 250
AMD Ryzen 9 3900X 12-Core Processor: AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1001 BIOS), Chipset: AMD Starship/Matisse, Memory: 16384MB, Disk: 2000GB Force MP600, Graphics: AMD Radeon RX 64 8GB (1630/945MHz), Audio: AMD Device aaf8, Monitor: ASUS VP28U, Network: Realtek Device 8125 + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 19.04, Kernel: 5.3.0-999-generic (x86_64) 20190909, Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.5 Mesa 19.0.8 (LLVM 8.0.0), Compiler: GCC 8.3.0 + Clang 10.0.0-svn371485-1~exp1+0~20190910040723.259~1.gbp13c8b7, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -vProcessor Notes: Scaling Governor: acpi-cpufreq ondemandSecurity Notes: 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: always-on RSB filling
Testing initiated at 8 October 2019 11:26 by user phoronix.