Intel Xeon Platinum 8253 testing with a Supermicro X11SPL-F v1.02 (3.1 BIOS) and llvmpipe 188GB on Ubuntu 19.10 via the Phoronix Test Suite.
Xeon Platinum 8253 Processor: Intel Xeon Platinum 8253 @ 3.00GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 188GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe 188GB, Monitor: VE228, Network: 2 x Intel I210
OS: Ubuntu 19.10, Kernel: 5.5.0-050500-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0 256 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
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++,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 -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002cPython Notes: Python 2.7.17 + Python 3.7.5Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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 Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled
Xeon Platinum 8253 OpenBenchmarking.org Phoronix Test Suite Intel Xeon Platinum 8253 @ 3.00GHz (16 Cores / 32 Threads) Supermicro X11SPL-F v1.02 (3.1 BIOS) Intel Sky Lake-E DMI3 Registers 188GB 3841GB Micron_9300_MTFDHAL3T8TDP llvmpipe 188GB VE228 2 x Intel I210 Ubuntu 19.10 5.5.0-050500-generic (x86_64) GNOME Shell 3.34.1 X Server 1.20.5 modesetting 1.20.5 3.3 Mesa 19.2.8 (LLVM 9.0 256 bits) GCC 9.2.1 20191008 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Xeon Platinum 8253 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++,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 - NONE / errors=remount-ro,relatime,rw - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c - Python 2.7.17 + Python 3.7.5 - itlb_multihit: KVM: Mitigation of Split huge pages + 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 Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled
Xeon Platinum 8253 postmark: Disk Transaction Performance hpcg: polyhedron: ac polyhedron: air polyhedron: mdbx polyhedron: doduc polyhedron: linpk polyhedron: tfft2 polyhedron: aermod polyhedron: rnflow polyhedron: induct2 polyhedron: protein polyhedron: capacita polyhedron: channel2 polyhedron: fatigue2 polyhedron: gas_dyn2 polyhedron: test_fpu2 polyhedron: mp_prop_design lammps: Rhodopsin Protein john-the-ripper: Blowfish john-the-ripper: MD5 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 dav1d: Chimera 1080p dav1d: Summer Nature 4K dav1d: Summer Nature 1080p dav1d: Chimera 1080p 10-bit build-apache: Time To Compile build-ffmpeg: Time To Compile build-gdb: Time To Compile build-php: Time To Compile rays1bench: Large Scene numpy: gegl: Crop gegl: Scale gegl: Cartoon gegl: Reflect gegl: Antialias gegl: Tile Glass gegl: Wavelet Blur gegl: Color Enhance gegl: Rotate 90 Degrees inkscape: SVG Files To PNG rawtherapee: Total Benchmark Time rsvg: SVG Files To PNG v-ray: CPU blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only pyperformance: go pyperformance: 2to3 pyperformance: chaos pyperformance: float pyperformance: nbody pyperformance: pathlib pyperformance: raytrace pyperformance: json_loads pyperformance: crypto_pyaes pyperformance: regex_compile pyperformance: python_startup pyperformance: django_template pyperformance: pickle_pure_python mlpack: scikit_svm scikit-learn: Xeon Platinum 8253 5137 12.3064 7.56 3.44 6.77 10.67 3.93 33.85 8.22 20.41 25.72 21.09 16.27 83.37 67.96 70.52 46.47 86.98 7.536 19055 1668667 5.18119 9.95577 0.885987 5.52198 8.73123 12.9003 12.4847 1921.66 13247.7 3.45886 4.88666 244.589 6330.29 1472.83 0.820547 8141.44 226.596 34.5554 66.3283 8821.80 106.043 15.3450 18.7430 1612.25 26.7825 6134.59 417.720 248.30167 119.628958 309.389792 24.026458 31.082 54.746 148.302 66.501 49.24 263.75 11.657 7.926 139.413 45.648 58.053 45.023 96.377 88.082 59.147 40.452 64.006 29.811 14949 171.50 497.95 263.41 674.20 611.01 331 448 146 148 156 26.2 635 33.0 139 239 11.7 75.7 618 22.95 37.892 OpenBenchmarking.org
PostMark This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org TPS, More Is Better PostMark 1.51 Disk Transaction Performance Xeon Platinum 8253 1100 2200 3300 4400 5500 SE +/- 35.33, N = 3 5137 1. (CC) gcc options: -O3
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 Xeon Platinum 8253 1.1658 2.3316 3.4974 4.6632 5.829 SE +/- 0.08542, N = 3 5.18119 MIN: 4.35 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 Xeon Platinum 8253 3 6 9 12 15 SE +/- 0.03133, N = 3 9.95577 MIN: 9.55 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 Xeon Platinum 8253 0.1993 0.3986 0.5979 0.7972 0.9965 SE +/- 0.016927, N = 14 0.885987 MIN: 0.82 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 Xeon Platinum 8253 1.2424 2.4848 3.7272 4.9696 6.212 SE +/- 0.01665, N = 3 5.52198 MIN: 5.29 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 Xeon Platinum 8253 2 4 6 8 10 SE +/- 0.02129, N = 3 8.73123 MIN: 8.54 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 Xeon Platinum 8253 3 6 9 12 15 SE +/- 0.02, N = 3 12.90 MIN: 9.69 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 Xeon Platinum 8253 3 6 9 12 15 SE +/- 0.01, N = 3 12.48 MIN: 12.09 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: Convolution Batch conv_all - Data Type: f32 Xeon Platinum 8253 400 800 1200 1600 2000 SE +/- 10.81, N = 3 1921.66 MIN: 1887.52 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 Xeon Platinum 8253 3K 6K 9K 12K 15K SE +/- 1.33, N = 3 13247.7 MIN: 13227 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 Xeon Platinum 8253 0.7782 1.5564 2.3346 3.1128 3.891 SE +/- 0.00398, N = 3 3.45886 MIN: 3.35 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 Xeon Platinum 8253 1.0995 2.199 3.2985 4.398 5.4975 SE +/- 0.00384, N = 3 4.88666 MIN: 4.81 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 Xeon Platinum 8253 50 100 150 200 250 SE +/- 0.46, N = 3 244.59 MIN: 241.73 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: Convolution Batch conv_all - Data Type: u8s8f32 Xeon Platinum 8253 1400 2800 4200 5600 7000 SE +/- 7.32, N = 3 6330.29 MIN: 6302.04 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: Deconvolution Batch deconv_all - Data Type: f32 Xeon Platinum 8253 300 600 900 1200 1500 SE +/- 0.55, N = 3 1472.83 MIN: 1454 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 Xeon Platinum 8253 0.1846 0.3692 0.5538 0.7384 0.923 SE +/- 0.002196, N = 3 0.820547 MIN: 0.79 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 Xeon Platinum 8253 2K 4K 6K 8K 10K SE +/- 0.73, N = 3 8141.44 MIN: 8130.95 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: Recurrent Neural Network Training - Data Type: f32 Xeon Platinum 8253 50 100 150 200 250 SE +/- 0.06, N = 3 226.60 MIN: 223.21 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: Convolution Batch conv_3d - Data Type: bf16bf16bf16 Xeon Platinum 8253 8 16 24 32 40 SE +/- 0.02, N = 3 34.56 MIN: 34.35 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 Xeon Platinum 8253 15 30 45 60 75 SE +/- 0.16, N = 3 66.33 MIN: 64.01 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 Xeon Platinum 8253 2K 4K 6K 8K 10K SE +/- 0.60, N = 3 8821.80 MIN: 8810.39 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_googlenet_v3 - Data Type: f32 Xeon Platinum 8253 20 40 60 80 100 SE +/- 0.10, N = 3 106.04 MIN: 104.54 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 Xeon Platinum 8253 4 8 12 16 20 SE +/- 0.00, N = 3 15.35 MIN: 15.21 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: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 Xeon Platinum 8253 5 10 15 20 25 SE +/- 0.01, N = 3 18.74 MIN: 18.62 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: bf16bf16bf16 Xeon Platinum 8253 300 600 900 1200 1500 SE +/- 0.55, N = 3 1612.25 MIN: 1610.14 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 Xeon Platinum 8253 6 12 18 24 30 SE +/- 0.05, N = 3 26.78 MIN: 26.06 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 Xeon Platinum 8253 1300 2600 3900 5200 6500 SE +/- 1.23, N = 3 6134.59 MIN: 6121.34 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 Xeon Platinum 8253 90 180 270 360 450 SE +/- 0.33, N = 3 417.72 MIN: 415.85 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Summer Nature 4K Xeon Platinum 8253 30 60 90 120 150 SE +/- 0.45, N = 3 119.63 MIN: 119.04 / MAX: 120.67 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Summer Nature 1080p Xeon Platinum 8253 70 140 210 280 350 SE +/- 0.74, N = 3 309.39 MIN: 307.62 / MAX: 310.74 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 0.5.0 Video Input: Chimera 1080p 10-bit Xeon Platinum 8253 6 12 18 24 30 SE +/- 0.01, N = 3 24.03 MIN: 24 / MAX: 24.06 1. (CC) gcc options: -pthread
GEGL GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Crop Xeon Platinum 8253 3 6 9 12 15 SE +/- 0.09, N = 3 11.66
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon Xeon Platinum 8253 30 60 90 120 150 SE +/- 0.15, N = 3 139.41
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass Xeon Platinum 8253 10 20 30 40 50 SE +/- 0.01, N = 3 45.02
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur Xeon Platinum 8253 20 40 60 80 100 SE +/- 0.18, N = 3 96.38
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance Xeon Platinum 8253 20 40 60 80 100 SE +/- 0.07, N = 3 88.08
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees Xeon Platinum 8253 13 26 39 52 65 SE +/- 0.08, N = 3 59.15
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.82 Blend File: Pabellon Barcelona - Compute: CPU-Only Xeon Platinum 8253 130 260 390 520 650 SE +/- 0.45, N = 3 611.01
Xeon Platinum 8253 Processor: Intel Xeon Platinum 8253 @ 3.00GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 188GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe 188GB, Monitor: VE228, Network: 2 x Intel I210
OS: Ubuntu 19.10, Kernel: 5.5.0-050500-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0 256 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
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++,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 -vDisk Notes: NONE / errors=remount-ro,relatime,rwProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002cPython Notes: Python 2.7.17 + Python 3.7.5Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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 Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 16 February 2020 14:37 by user phoronix.