Xeong Linux 2 x Intel Xeon Gold 6138 testing with a TYAN S7106 (V2.00.B20 BIOS) and llvmpipe 93GB on Ubuntu 18.04 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 1910133-AS-XEONGLINU92 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 Processor: 2 x Intel Xeon Gold 6138 @ 3.70GHz (40 Cores / 80 Threads), Motherboard: TYAN S7106 (V2.00.B20 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 96256MB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe 93GB, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE
OS: Ubuntu 18.04, Kernel: 5.0.0-31-generic (x86_64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 3.3 Mesa 19.0.8 (LLVM 8.0 256 bits), Compiler: GCC 7.4.0, 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++ --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 -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: intel_pstate powersaveSecurity Notes: l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Vulnerable; SMT vulnerable + meltdown: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled
Xeong Linux OpenBenchmarking.org Phoronix Test Suite 2 x Intel Xeon Gold 6138 @ 3.70GHz (40 Cores / 80 Threads) TYAN S7106 (V2.00.B20 BIOS) Intel Sky Lake-E DMI3 Registers 96256MB 500GB Samsung SSD 860 llvmpipe 93GB VE228 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE Ubuntu 18.04 5.0.0-31-generic (x86_64) GNOME Shell 3.28.4 X Server 1.20.4 modesetting 1.20.4 3.3 Mesa 19.0.8 (LLVM 8.0 256 bits) GCC 7.4.0 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Xeong Linux Benchmarks System Logs - --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++ --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 - MQ-DEADLINE / errors=remount-ro,relatime,rw - Scaling Governor: intel_pstate powersave - l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Vulnerable; SMT vulnerable + meltdown: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled
Xeong Linux ior: Write Test ior: Read Test libgav1: Chimera 1080p libgav1: Summer Nature 4K libgav1: Summer Nature 1080p libgav1: Chimera 1080p 10-bit mkl-dnn: IP Batch 1D - f32 mkl-dnn: IP Batch All - f32 mkl-dnn: IP Batch 1D - u8s8f32 mkl-dnn: IP Batch All - u8s8f32 mkl-dnn: IP Batch 1D - bf16bf16bf16 mkl-dnn: IP Batch All - bf16bf16bf16 mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: Convolution Batch conv_all - f32 mkl-dnn: Convolution Batch conv_3d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Convolution Batch conv_all - u8s8f32 mkl-dnn: Deconvolution Batch deconv_all - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32 mkl-dnn: Recurrent Neural Network Training - f32 mkl-dnn: Convolution Batch conv_3d - bf16bf16bf16 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32 mkl-dnn: Convolution Batch conv_all - bf16bf16bf16 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 mkl-dnn: Deconvolution Batch deconv_1d - bf16bf16bf16 mkl-dnn: Deconvolution Batch deconv_3d - bf16bf16bf16 mkl-dnn: Convolution Batch conv_alexnet - bf16bf16bf16 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32 mkl-dnn: Deconvolution Batch deconv_all - bf16bf16bf16 mkl-dnn: Convolution Batch conv_googlenet_v3 - bf16bf16bf16 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 mt-dgemm: Sustained Floating-Point Rate oidn: Memorial luxcorerender: DLSC luxcorerender: Rainbow Colors and Prism tungsten: Hair tungsten: Water Caustic tungsten: Non-Exponential tungsten: Volumetric Caustic n-queens: Elapsed Time openssl: RSA 4096-bit Performance sqlite-speedtest: Timed Time - Size 1,000 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 235.49 357.97 24.85 12.18 36.03 11.63 2.58 11.53 2.13 4.58 4.93 150.67 6.27 854.68 4593.53 1.75 1.96 87.00 2527.50 1135.86 19.54 3937.85 256.20 13.02 60.37 3122.94 40.19 6.55 7.15 567.94 25.27 2759.56 152.60 41.67 7.04 3.83 55.56 3.89 45.45 10.49 500 28.79 31.97 33.66 30.59 41.40 35.85 10.68 30.03 1.07 1.10 11.27 24.96 5.99 16.40 5.04 7829.70 65.34 OpenBenchmarking.org
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Read Test Samsung SSD 860 - 2 x Intel Xeon Gold 6138 80 160 240 320 400 SE +/- 0.67, N = 3 357.97 MIN: 341.84 / MAX: 389.63 1. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 4K Samsung SSD 860 - 2 x Intel Xeon Gold 6138 3 6 9 12 15 SE +/- 0.03, N = 3 12.18 1. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 1080p Samsung SSD 860 - 2 x Intel Xeon Gold 6138 8 16 24 32 40 SE +/- 0.03, N = 3 36.03 1. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p 10-bit Samsung SSD 860 - 2 x Intel Xeon Gold 6138 3 6 9 12 15 SE +/- 0.05, N = 3 11.63 1. (CXX) g++ options: -O3 -lpthread
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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 0.5805 1.161 1.7415 2.322 2.9025 SE +/- 0.02, N = 3 2.58 MIN: 2.25 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 3 6 9 12 15 SE +/- 0.01, N = 3 11.53 MIN: 11.09 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 0.4793 0.9586 1.4379 1.9172 2.3965 SE +/- 0.00, N = 3 2.13 MIN: 1.95 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: u8s8f32 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 1.0305 2.061 3.0915 4.122 5.1525 SE +/- 0.02, N = 3 4.58 MIN: 4.21 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: bf16bf16bf16 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 1.1093 2.2186 3.3279 4.4372 5.5465 SE +/- 0.06, N = 3 4.93 MIN: 4.41 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: bf16bf16bf16 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 30 60 90 120 150 SE +/- 1.39, N = 3 150.67 MIN: 88.28 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: f32 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 2 4 6 8 10 SE +/- 0.04, N = 3 6.27 MIN: 5.98 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 200 400 600 800 1000 SE +/- 0.86, N = 3 854.68 MIN: 834.93 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 1000 2000 3000 4000 5000 SE +/- 6.67, N = 3 4593.53 MIN: 4569.73 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 0.3938 0.7876 1.1814 1.5752 1.969 SE +/- 0.00, N = 3 1.75 MIN: 1.66 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 0.441 0.882 1.323 1.764 2.205 SE +/- 0.00, N = 3 1.96 MIN: 1.89 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 20 40 60 80 100 SE +/- 0.08, N = 3 87.00 MIN: 84.24 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: u8s8f32 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 500 1000 1500 2000 2500 SE +/- 4.88, N = 3 2527.50 MIN: 2501.4 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 200 400 600 800 1000 SE +/- 2.15, N = 3 1135.86 MIN: 1115.56 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 5 10 15 20 25 SE +/- 16.62, N = 12 19.54 MIN: 0.84 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_3d - Data Type: u8s8f32 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 800 1600 2400 3200 4000 SE +/- 1.55, N = 3 3937.85 MIN: 3933.05 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: Recurrent Neural Network Training - Data Type: f32 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 60 120 180 240 300 SE +/- 3.58, N = 3 256.20 MIN: 237.44 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: bf16bf16bf16 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 3 6 9 12 15 SE +/- 0.01, N = 3 13.02 MIN: 12.62 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 14 28 42 56 70 SE +/- 0.06, N = 3 60.37 MIN: 57.42 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: bf16bf16bf16 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 700 1400 2100 2800 3500 SE +/- 0.86, N = 3 3122.94 MIN: 3098.68 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: f32 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 9 18 27 36 45 SE +/- 0.07, N = 3 40.19 MIN: 37.75 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: bf16bf16bf16 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 2 4 6 8 10 SE +/- 0.06, N = 14 6.55 MIN: 6.27 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: bf16bf16bf16 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 2 4 6 8 10 SE +/- 0.01, N = 3 7.15 MIN: 7.04 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: bf16bf16bf16 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 120 240 360 480 600 SE +/- 0.78, N = 3 567.94 MIN: 563.58 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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 6 12 18 24 30 SE +/- 0.04, N = 3 25.27 MIN: 24.47 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: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 600 1200 1800 2400 3000 SE +/- 1.81, N = 3 2759.56 MIN: 2723.66 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: bf16bf16bf16 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 30 60 90 120 150 SE +/- 0.21, N = 3 152.60 MIN: 150.1 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -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.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis Samsung SSD 860 - 2 x Intel Xeon Gold 6138 10 20 30 40 50 SE +/- 0.00, N = 12 41.67 MIN: 25 / MAX: 43.48
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Samsung SSD 860 - 2 x Intel Xeon Gold 6138 2 4 6 8 10 SE +/- 0.00, N = 10 7.04 MIN: 5.62 / MAX: 7.09
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer Samsung SSD 860 - 2 x Intel Xeon Gold 6138 0.8618 1.7236 2.5854 3.4472 4.309 SE +/- 0.00, N = 12 3.83 MIN: 2.74 / MAX: 3.86
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis Samsung SSD 860 - 2 x Intel Xeon Gold 6138 12 24 36 48 60 SE +/- 0.00, N = 15 55.56 MIN: 21.74
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Samsung SSD 860 - 2 x Intel Xeon Gold 6138 0.8753 1.7506 2.6259 3.5012 4.3765 SE +/- 0.01, N = 3 3.89 MIN: 3.53 / MAX: 3.92
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis Samsung SSD 860 - 2 x Intel Xeon Gold 6138 10 20 30 40 50 SE +/- 0.00, N = 13 45.45 MIN: 16.39 / MAX: 47.62
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Samsung SSD 860 - 2 x Intel Xeon Gold 6138 3 6 9 12 15 SE +/- 0.04, N = 3 10.49 MIN: 8.62 / MAX: 10.75
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer Samsung SSD 860 - 2 x Intel Xeon Gold 6138 110 220 330 440 550 500 MIN: 250
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Crown Samsung SSD 860 - 2 x Intel Xeon Gold 6138 7 14 21 28 35 SE +/- 0.01, N = 3 31.97 MIN: 31.38 / MAX: 32.6
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Samsung SSD 860 - 2 x Intel Xeon Gold 6138 8 16 24 32 40 SE +/- 0.13, N = 3 33.66 MIN: 32.77 / MAX: 35.15
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Obj Samsung SSD 860 - 2 x Intel Xeon Gold 6138 7 14 21 28 35 SE +/- 0.11, N = 3 30.59 MIN: 30 / MAX: 31.93
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Samsung SSD 860 - 2 x Intel Xeon Gold 6138 9 18 27 36 45 SE +/- 0.02, N = 3 41.40 MIN: 40.85 / MAX: 42.2
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Samsung SSD 860 - 2 x Intel Xeon Gold 6138 8 16 24 32 40 SE +/- 0.02, N = 3 35.85 MIN: 35.39 / MAX: 36.48
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: Rainbow Colors and Prism Samsung SSD 860 - 2 x Intel Xeon Gold 6138 0.2475 0.495 0.7425 0.99 1.2375 SE +/- 0.09, N = 12 1.10 MIN: 0.51 / MAX: 1.54
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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 3 6 9 12 15 SE +/- 0.02, N = 3 11.27 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic Samsung SSD 860 - 2 x Intel Xeon Gold 6138 6 12 18 24 30 SE +/- 0.10, N = 3 24.96 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 1.3478 2.6956 4.0434 5.3912 6.739 SE +/- 0.18, N = 15 5.99 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 4 8 12 16 20 SE +/- 0.20, N = 5 16.40 1. (CXX) g++ options: -std=c++0x -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mavx512f -mavx512vl -mavx512cd -mavx512dq -mavx512bw -mno-sse4a -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512pf -mno-avx512er -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -ljpeg -lpthread -ldl
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 Samsung SSD 860 - 2 x Intel Xeon Gold 6138 2K 4K 6K 8K 10K SE +/- 28.11, N = 3 7829.70 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Samsung SSD 860 - 2 x Intel Xeon Gold 6138 Processor: 2 x Intel Xeon Gold 6138 @ 3.70GHz (40 Cores / 80 Threads), Motherboard: TYAN S7106 (V2.00.B20 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 96256MB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe 93GB, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE
OS: Ubuntu 18.04, Kernel: 5.0.0-31-generic (x86_64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 3.3 Mesa 19.0.8 (LLVM 8.0 256 bits), Compiler: GCC 7.4.0, 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++ --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 -vDisk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: intel_pstate powersaveSecurity Notes: l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Vulnerable; SMT vulnerable + meltdown: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled
Testing initiated at 13 October 2019 09:49 by user phoronix.