Ryzen 9 3900X + TITAN RTX AMD Ryzen 9 3900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1001 BIOS) and NVIDIA TITAN RTX 24GB on Ubuntu 19.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/1910024-PTS-RYZEN93938 .
Ryzen 9 3900X + TITAN RTX Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution TITAN RTX + 3900X AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads) ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1001 BIOS) AMD Device 1480 16384MB Samsung SSD 970 EVO 250GB NVIDIA TITAN RTX 24GB (1350/7000MHz) NVIDIA TU102 HD Audio ASUS VP28U Realtek Device 8125 + Intel I211 + Intel Device 2723 Ubuntu 19.04 5.0.0-29-generic (x86_64) GNOME Shell 3.32.2 X Server 1.20.4 NVIDIA 435.21 4.6.0 GCC 8.3.0 ext4 3840x2160 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++ --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 - GPU Compute Cores: 4608 - 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 + TITAN RTX shoc: OpenCL - Triad shoc: OpenCL - FFT SP shoc: OpenCL - MD5 Hash shoc: OpenCL - Max SP Flops shoc: OpenCL - Bus Speed Download shoc: OpenCL - Bus Speed Readback shoc: OpenCL - Texture Read Bandwidth luxcorerender-cl: DLSC luxcorerender-cl: Food luxcorerender-cl: LuxCore Benchmark luxcorerender-cl: Rainbow Colors and Prism namd-cuda: ATPase Simulation - 327,506 Atoms mkl-dnn: IP Batch 1D - f32 mkl-dnn: IP Batch All - f32 mkl-dnn: IP Batch 1D - u8s8u8s32 mkl-dnn: IP Batch 1D - u8s8f32s32 mkl-dnn: IP Batch All - u8s8u8s32 mkl-dnn: IP Batch All - u8s8f32s32 mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: Convolution Batch conv_all - f32 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Deconvolution Batch deconv_all - f32 mkl-dnn: Convolution Batch conv_3d - u8s8u8s32 mkl-dnn: Convolution Batch conv_3d - u8s8f32s32 mkl-dnn: Convolution Batch conv_all - u8s8u8s32 mkl-dnn: Convolution Batch conv_all - u8s8f32s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8u8s32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8u8s32 mkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_all - u8s8u8s32 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8u8s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32s32 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 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 tungsten: Hair tungsten: Water Caustic tungsten: Non-Exponential tungsten: Volumetric Caustic blender: BMW27 - OpenCL blender: BMW27 - CPU-Only blender: Classroom - OpenCL blender: Fishy Cat - OpenCL blender: Barbershop - OpenCL blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - OpenCL blender: Pabellon Barcelona - CPU-Only luxmark: GPU - Hotel luxmark: GPU - Microphone luxmark: GPU - Luxball HDR TITAN RTX + 3900X 12.89 1570.13 37.51 17423.93 13.14 13.54 1165.82 9.64 2.99 7.51 16.12 0.17939 17.36 209.96 66.97 67.47 741.05 743.05 18.78 2088.81 24.46 5.02 254.56 6144.28 9854.17 9881.34 39829.47 39883.63 111.50 3550.45 6065.02 3664.46 3120.77 5522.18 31708.60 3644.65 1619.40 1613.96 19.23 3.58 1.46 27.53 1.88 12.99 5.55 200 15.36 14.71 16.53 14.80 16.48 14.19 10.43 2.28 2.27 17.46 23.77 6.85 7.42 295.88 113.13 407.46 755.55 503.59 316.13 165.70 461.91 864.11 389.82 9878 30616 45932 OpenBenchmarking.org
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Triad OpenBenchmarking.org GB/s, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Triad TITAN RTX + 3900X 3 6 9 12 15 SE +/- 0.00, N = 4 12.89 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: FFT SP OpenBenchmarking.org GFLOPS, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: FFT SP TITAN RTX + 3900X 300 600 900 1200 1500 SE +/- 1.35, N = 3 1570.13 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: MD5 Hash OpenBenchmarking.org GHash/s, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: MD5 Hash TITAN RTX + 3900X 9 18 27 36 45 SE +/- 0.08, N = 3 37.51 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Max SP Flops OpenBenchmarking.org GFLOPS, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Max SP Flops TITAN RTX + 3900X 4K 8K 12K 16K 20K SE +/- 183.98, N = 3 17423.93 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Bus Speed Download OpenBenchmarking.org GB/s, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Bus Speed Download TITAN RTX + 3900X 3 6 9 12 15 SE +/- 0.00, N = 3 13.14 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Bus Speed Readback OpenBenchmarking.org GB/s, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Bus Speed Readback TITAN RTX + 3900X 3 6 9 12 15 SE +/- 0.00, N = 15 13.54 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
SHOC Scalable HeterOgeneous Computing Target: OpenCL - Benchmark: Texture Read Bandwidth OpenBenchmarking.org GB/s, More Is Better SHOC Scalable HeterOgeneous Computing 2015-11-10 Target: OpenCL - Benchmark: Texture Read Bandwidth TITAN RTX + 3900X 300 600 900 1200 1500 SE +/- 3.03, N = 3 1165.82 1. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -pthread -lmpi_cxx -lmpi
LuxCoreRender OpenCL Scene: DLSC OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.2 Scene: DLSC TITAN RTX + 3900X 3 6 9 12 15 SE +/- 0.02, N = 3 9.64 MIN: 8.7 / MAX: 9.74
LuxCoreRender OpenCL Scene: Food OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.2 Scene: Food TITAN RTX + 3900X 0.6728 1.3456 2.0184 2.6912 3.364 SE +/- 0.04, N = 3 2.99 MIN: 0.33 / MAX: 3.65
LuxCoreRender OpenCL Scene: LuxCore Benchmark OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.2 Scene: LuxCore Benchmark TITAN RTX + 3900X 2 4 6 8 10 SE +/- 0.00, N = 3 7.51 MIN: 0.38 / MAX: 8.49
LuxCoreRender OpenCL Scene: Rainbow Colors and Prism OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender OpenCL 2.2 Scene: Rainbow Colors and Prism TITAN RTX + 3900X 4 8 12 16 20 SE +/- 0.02, N = 3 16.12 MIN: 14.52 / MAX: 16.69
NAMD CUDA ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD CUDA 2.13 ATPase Simulation - 327,506 Atoms TITAN RTX + 3900X 0.0404 0.0808 0.1212 0.1616 0.202 SE +/- 0.00039, N = 12 0.17939
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 TITAN RTX + 3900X 4 8 12 16 20 SE +/- 0.04, N = 3 17.36 MIN: 11.17 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 TITAN RTX + 3900X 50 100 150 200 250 SE +/- 0.82, N = 3 209.96 MIN: 167.07 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 TITAN RTX + 3900X 15 30 45 60 75 SE +/- 0.54, N = 3 66.97 MIN: 53.15 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 TITAN RTX + 3900X 15 30 45 60 75 SE +/- 0.48, N = 3 67.47 MIN: 50.27 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 TITAN RTX + 3900X 160 320 480 640 800 SE +/- 2.75, N = 3 741.05 MIN: 646.26 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 TITAN RTX + 3900X 160 320 480 640 800 SE +/- 1.14, N = 3 743.05 MIN: 660.93 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 TITAN RTX + 3900X 5 10 15 20 25 SE +/- 0.11, N = 3 18.78 MIN: 18.22 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 TITAN RTX + 3900X 400 800 1200 1600 2000 SE +/- 4.85, N = 3 2088.81 MIN: 2068.35 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 TITAN RTX + 3900X 6 12 18 24 30 SE +/- 0.12, N = 3 24.46 MIN: 23.39 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 TITAN RTX + 3900X 1.1295 2.259 3.3885 4.518 5.6475 SE +/- 0.00, N = 4 5.02 MIN: 4.93 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 TITAN RTX + 3900X 60 120 180 240 300 SE +/- 2.91, N = 3 254.56 MIN: 249.87 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 TITAN RTX + 3900X 1300 2600 3900 5200 6500 SE +/- 15.46, N = 3 6144.28 MIN: 5735.21 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 TITAN RTX + 3900X 2K 4K 6K 8K 10K SE +/- 11.69, N = 3 9854.17 MIN: 9819.92 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 TITAN RTX + 3900X 2K 4K 6K 8K 10K SE +/- 4.48, N = 3 9881.34 MIN: 9857.42 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: u8s8u8s32 OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8u8s32 TITAN RTX + 3900X 9K 18K 27K 36K 45K SE +/- 76.66, N = 3 39829.47 MIN: 38802.2 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 TITAN RTX + 3900X 9K 18K 27K 36K 45K SE +/- 20.25, N = 3 39883.63 MIN: 38845.9 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 TITAN RTX + 3900X 20 40 60 80 100 SE +/- 0.32, N = 3 111.50 MIN: 109.56 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 TITAN RTX + 3900X 800 1600 2400 3200 4000 SE +/- 5.47, N = 3 3550.45 MIN: 3538.57 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 TITAN RTX + 3900X 1300 2600 3900 5200 6500 SE +/- 10.64, N = 3 6065.02 MIN: 6030.44 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 TITAN RTX + 3900X 800 1600 2400 3200 4000 SE +/- 18.68, N = 3 3664.46 MIN: 3507.75 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 TITAN RTX + 3900X 700 1400 2100 2800 3500 SE +/- 5.88, N = 3 3120.77 MIN: 3104.26 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 TITAN RTX + 3900X 1200 2400 3600 4800 6000 SE +/- 9.29, N = 3 5522.18 MIN: 5491.73 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 TITAN RTX + 3900X 7K 14K 21K 28K 35K SE +/- 33.55, N = 3 31708.60 MIN: 30559.9 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 TITAN RTX + 3900X 800 1600 2400 3200 4000 SE +/- 28.89, N = 3 3644.65 MIN: 3461.36 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 TITAN RTX + 3900X 300 600 900 1200 1500 SE +/- 6.80, N = 3 1619.40 MIN: 1517.87 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 TITAN RTX + 3900X 300 600 900 1200 1500 SE +/- 5.05, N = 3 1613.96 MIN: 1510.52 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OSPray Demo: San Miguel - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis TITAN RTX + 3900X 5 10 15 20 25 SE +/- 0.00, N = 12 19.23 MIN: 18.52 / MAX: 20.41
OSPray Demo: XFrog Forest - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis TITAN RTX + 3900X 0.8055 1.611 2.4165 3.222 4.0275 SE +/- 0.00, N = 3 3.58 MIN: 3.51 / MAX: 3.62
OSPray Demo: San Miguel - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer TITAN RTX + 3900X 0.3285 0.657 0.9855 1.314 1.6425 SE +/- 0.00, N = 3 1.46 MIN: 1.42 / MAX: 1.47
OSPray Demo: NASA Streamlines - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis TITAN RTX + 3900X 6 12 18 24 30 SE +/- 0.25, N = 3 27.53 MIN: 26.32 / MAX: 27.78
OSPray Demo: XFrog Forest - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer TITAN RTX + 3900X 0.423 0.846 1.269 1.692 2.115 SE +/- 0.00, N = 3 1.88 MIN: 1.87 / MAX: 1.9
OSPray Demo: Magnetic Reconnection - Renderer: SciVis OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis TITAN RTX + 3900X 3 6 9 12 15 SE +/- 0.00, N = 12 12.99 MIN: 12.35 / MAX: 13.16
OSPray Demo: NASA Streamlines - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer TITAN RTX + 3900X 1.2488 2.4976 3.7464 4.9952 6.244 SE +/- 0.00, N = 12 5.55 MIN: 5.46 / MAX: 5.62
OSPray Demo: Magnetic Reconnection - Renderer: Path Tracer OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer TITAN RTX + 3900X 40 80 120 160 200 200 MIN: 166.67 / MAX: 250
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Crown TITAN RTX + 3900X 4 8 12 16 20 SE +/- 0.01, N = 3 15.36 MIN: 15.24 / MAX: 15.76
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Crown TITAN RTX + 3900X 4 8 12 16 20 SE +/- 0.01, N = 3 14.71 MIN: 14.59 / MAX: 14.95
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon TITAN RTX + 3900X 4 8 12 16 20 SE +/- 0.01, N = 3 16.53 MIN: 16.41 / MAX: 16.87
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 TITAN RTX + 3900X 4 8 12 16 20 SE +/- 0.00, N = 3 14.80 MIN: 14.71 / MAX: 15.07
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 TITAN RTX + 3900X 4 8 12 16 20 SE +/- 0.01, N = 3 16.48 MIN: 16.37 / MAX: 16.72
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 TITAN RTX + 3900X 4 8 12 16 20 SE +/- 0.01, N = 3 14.19 MIN: 14.09 / MAX: 14.47
Intel Open Image Denoise Scene: Memorial OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.0.0 Scene: Memorial TITAN RTX + 3900X 3 6 9 12 15 SE +/- 0.02, N = 3 10.43
LuxCoreRender Scene: DLSC OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: DLSC TITAN RTX + 3900X 0.513 1.026 1.539 2.052 2.565 SE +/- 0.01, N = 3 2.28 MIN: 2.19 / MAX: 2.35
LuxCoreRender Scene: Rainbow Colors and Prism OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: Rainbow Colors and Prism TITAN RTX + 3900X 0.5108 1.0216 1.5324 2.0432 2.554 SE +/- 0.03, N = 3 2.27 MIN: 2.18 / MAX: 2.35
Tungsten Renderer Scene: Hair OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Hair TITAN RTX + 3900X 4 8 12 16 20 SE +/- 0.01, 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 -lGL -lGLU -lpthread -ldl
Tungsten Renderer Scene: Water Caustic OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic TITAN RTX + 3900X 6 12 18 24 30 SE +/- 0.05, N = 3 23.77 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 -lGL -lGLU -lpthread -ldl
Tungsten Renderer Scene: Non-Exponential OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential TITAN RTX + 3900X 2 4 6 8 10 SE +/- 0.12, N = 15 6.85 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 -lGL -lGLU -lpthread -ldl
Tungsten Renderer Scene: Volumetric Caustic OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic TITAN RTX + 3900X 2 4 6 8 10 SE +/- 0.01, N = 3 7.42 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 -lGL -lGLU -lpthread -ldl
Blender Blend File: BMW27 - Compute: OpenCL OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: BMW27 - Compute: OpenCL TITAN RTX + 3900X 60 120 180 240 300 SE +/- 0.33, N = 3 295.88
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: BMW27 - Compute: CPU-Only TITAN RTX + 3900X 30 60 90 120 150 SE +/- 0.27, N = 3 113.13
Blender Blend File: Classroom - Compute: OpenCL OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Classroom - Compute: OpenCL TITAN RTX + 3900X 90 180 270 360 450 SE +/- 2.34, N = 3 407.46
Blender Blend File: Fishy Cat - Compute: OpenCL OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Fishy Cat - Compute: OpenCL TITAN RTX + 3900X 160 320 480 640 800 SE +/- 2.67, N = 3 755.55
Blender Blend File: Barbershop - Compute: OpenCL OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Barbershop - Compute: OpenCL TITAN RTX + 3900X 110 220 330 440 550 SE +/- 1.14, N = 3 503.59
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Classroom - Compute: CPU-Only TITAN RTX + 3900X 70 140 210 280 350 SE +/- 0.53, N = 3 316.13
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Fishy Cat - Compute: CPU-Only TITAN RTX + 3900X 40 80 120 160 200 SE +/- 0.12, N = 3 165.70
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Barbershop - Compute: CPU-Only TITAN RTX + 3900X 100 200 300 400 500 SE +/- 0.24, N = 3 461.91
Blender Blend File: Pabellon Barcelona - Compute: OpenCL OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Pabellon Barcelona - Compute: OpenCL TITAN RTX + 3900X 200 400 600 800 1000 SE +/- 7.65, N = 3 864.11
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.80 Blend File: Pabellon Barcelona - Compute: CPU-Only TITAN RTX + 3900X 80 160 240 320 400 SE +/- 0.23, N = 3 389.82
LuxMark OpenCL Device: GPU - Scene: Hotel OpenBenchmarking.org Score, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Hotel TITAN RTX + 3900X 2K 4K 6K 8K 10K SE +/- 76.62, N = 3 9878
LuxMark OpenCL Device: GPU - Scene: Microphone OpenBenchmarking.org Score, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Microphone TITAN RTX + 3900X 7K 14K 21K 28K 35K SE +/- 14.33, N = 3 30616
LuxMark OpenCL Device: GPU - Scene: Luxball HDR OpenBenchmarking.org Score, More Is Better LuxMark 3.1 OpenCL Device: GPU - Scene: Luxball HDR TITAN RTX + 3900X 10K 20K 30K 40K 50K SE +/- 7.31, N = 3 45932
Phoronix Test Suite v10.8.4