Xeon E-2278GEL Intel Xeon E-2278GEL testing with a Logic Supply RXM-181 (Z01-0001A027 BIOS) and Intel HD 3GB on Ubuntu 19.10 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 1910210-HU-XEONE227887 Xeon E-2278GEL Processor: Intel Xeon E-2278GEL @ 3.90GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0001A027 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16384MB, Disk: 512GB TS512GMTE510T + 64GB Flash Drive, Graphics: Intel HD 3GB (1150MHz), Audio: Realtek ALC233, Monitor: G237HL, Network: Intel I219-LM + 2 x Intel I210
OS: Ubuntu 19.10, Kernel: 5.3.0-18-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.1, 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 powersaveJava Notes: OpenJDK Runtime Environment (build 11.0.5-ea+10-post-Ubuntu-0ubuntu1)Security 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 Enhanced IBRS IBPB: conditional RSB filling
Xeon E-2278GEL OpenBenchmarking.org Phoronix Test Suite Intel Xeon E-2278GEL @ 3.90GHz (8 Cores / 16 Threads) Logic Supply RXM-181 (Z01-0001A027 BIOS) Intel Cannon Lake PCH 16384MB 512GB TS512GMTE510T + 64GB Flash Drive Intel HD 3GB (1150MHz) Realtek ALC233 G237HL Intel I219-LM + 2 x Intel I210 Ubuntu 19.10 5.3.0-18-generic (x86_64) GNOME Shell 3.34.1 X Server 1.20.5 modesetting 1.20.5 4.5 Mesa 19.2.1 GCC 9.2.1 20191008 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Xeon E-2278GEL 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 - OpenJDK Runtime Environment (build 11.0.5-ea+10-post-Ubuntu-0ubuntu1) - 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
Xeon E-2278GEL mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32 mkl-dnn: Convolution Batch conv_all - u8s8f32 mkl-dnn: Deconvolution Batch deconv_all - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: Convolution Batch conv_all - f32 mkl-dnn: IP Batch 1D - u8s8f32 mkl-dnn: IP Batch All - u8s8f32 mkl-dnn: IP Batch All - f32 mkl-dnn: IP Batch 1D - f32 askap: tConvolve MT - Gridding mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32 mkl-dnn: Convolution Batch conv_3d - u8s8f32 mkl-dnn: Recurrent Neural Network Training - f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 askap: tConvolve MT - Degridding ior: Read Test askap: tConvolve MPI - Gridding askap: tConvolve MPI - Degridding askap: tConvolve OpenMP - Gridding askap: tConvolve OpenMP - Degridding mt-dgemm: Sustained Floating-Point Rate minife: Small 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 ospray: San Miguel - SciVis ospray: XFrog Forest - SciVis ospray: San Miguel - Path Tracer mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32 ospray: NASA Streamlines - SciVis ospray: XFrog Forest - Path Tracer ospray: Magnetic Reconnection - SciVis ospray: NASA Streamlines - Path Tracer ospray: Magnetic Reconnection - Path Tracer rocksdb: Rand Fill rocksdb: Rand Read rocksdb: Seq Fill rocksdb: Rand Fill Sync rocksdb: Read While Writing ior: Write Test cassandra: Reads cassandra: Writes cassandra: Mixed 1:1 cassandra: Mixed 1:3 Xeon E-2278GEL 6855.02 56768.30 5106.29 7.78 552.09 4404.38 8.79 39.51 4575.64 51.44 330.33 51.84 7.91 640.68 12970.87 16609.77 421.55 253.86 980.99 494.70 645.01 980.53 683.90 1121.87 2.55 2534.62 6.79 7.58 7.91 7.05 8.88 7.64 5.12 10.21 1.67 0.86 2790.17 12.53 0.91 9.87 2.55 141.37 483963 31243434 1048061 9630 1521687 651.63 1495 49066 8269 2756 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: Deconvolution Batch deconv_1d - Data Type: u8s8f32 Xeon E-2278GEL 1500 3000 4500 6000 7500 SE +/- 81.62, N = 3 6855.02 MIN: 6599.12 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_all - Data Type: u8s8f32 Xeon E-2278GEL 12K 24K 36K 48K 60K SE +/- 68.71, N = 3 56768.30 MIN: 55860.5 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 E-2278GEL 1100 2200 3300 4400 5500 SE +/- 6.21, N = 3 5106.29 MIN: 4971.73 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_3d - Data Type: f32 Xeon E-2278GEL 2 4 6 8 10 SE +/- 0.01, N = 3 7.78 MIN: 7.73 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_alexnet - Data Type: f32 Xeon E-2278GEL 120 240 360 480 600 SE +/- 5.26, N = 12 552.09 MIN: 446.63 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 E-2278GEL 900 1800 2700 3600 4500 SE +/- 49.29, N = 3 4404.38 MIN: 4263.24 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: Deconvolution Batch deconv_1d - Data Type: f32 Xeon E-2278GEL 2 4 6 8 10 SE +/- 0.13, N = 4 8.79 MIN: 7.63 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 E-2278GEL 9 18 27 36 45 SE +/- 0.49, N = 5 39.51 MIN: 36.69 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_all - Data Type: f32 Xeon E-2278GEL 1000 2000 3000 4000 5000 SE +/- 3.08, N = 3 4575.64 MIN: 4314.81 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: IP Batch 1D - Data Type: u8s8f32 Xeon E-2278GEL 12 24 36 48 60 SE +/- 0.17, N = 3 51.44 MIN: 49.87 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 E-2278GEL 70 140 210 280 350 SE +/- 2.99, N = 3 330.33 MIN: 317.38 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 E-2278GEL 12 24 36 48 60 SE +/- 0.04, N = 3 51.84 MIN: 51.05 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: IP Batch 1D - Data Type: f32 Xeon E-2278GEL 2 4 6 8 10 SE +/- 0.08, N = 12 7.91 MIN: 6.41 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: Deconvolution Batch deconv_3d - Data Type: u8s8f32 Xeon E-2278GEL 3K 6K 9K 12K 15K SE +/- 2.03, N = 3 12970.87 MIN: 12923.5 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 E-2278GEL 4K 8K 12K 16K 20K SE +/- 74.35, N = 3 16609.77 MIN: 16421.2 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 E-2278GEL 90 180 270 360 450 SE +/- 0.53, N = 3 421.55 MIN: 401.83 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: f32 Xeon E-2278GEL 60 120 180 240 300 SE +/- 3.01, N = 6 253.86 MIN: 228.29 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Degridding Xeon E-2278GEL 200 400 600 800 1000 SE +/- 0.15, N = 3 980.53 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Gridding Xeon E-2278GEL 150 300 450 600 750 SE +/- 3.11, N = 3 683.90 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Degridding Xeon E-2278GEL 200 400 600 800 1000 SE +/- 1.57, N = 3 1121.87 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Crown Xeon E-2278GEL 2 4 6 8 10 SE +/- 0.04, N = 3 7.58 MIN: 7.37 / MAX: 9.07
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Xeon E-2278GEL 2 4 6 8 10 SE +/- 0.03, N = 3 7.91 MIN: 7.73 / MAX: 8.84
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Obj Xeon E-2278GEL 2 4 6 8 10 SE +/- 0.01, N = 3 7.05 MIN: 6.86 / MAX: 7.79
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Xeon E-2278GEL 2 4 6 8 10 SE +/- 0.03, N = 3 8.88 MIN: 8.72 / MAX: 9.7
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Xeon E-2278GEL 2 4 6 8 10 SE +/- 0.01, N = 3 7.64 MIN: 7.46 / MAX: 8.26
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 Xeon E-2278GEL 3 6 9 12 15 SE +/- 0.21, N = 15 10.21 MIN: 9.26 / MAX: 13.33
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Xeon E-2278GEL 0.3758 0.7516 1.1274 1.5032 1.879 SE +/- 0.00, N = 3 1.67 MIN: 1.65 / MAX: 2.21
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer Xeon E-2278GEL 0.1935 0.387 0.5805 0.774 0.9675 SE +/- 0.00, N = 3 0.86 MIN: 0.81 / MAX: 0.98
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: u8s8f32 Xeon E-2278GEL 600 1200 1800 2400 3000 SE +/- 37.16, N = 5 2790.17 MIN: 2547.41 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: NASA Streamlines - Renderer: SciVis Xeon E-2278GEL 3 6 9 12 15 SE +/- 0.26, N = 14 12.53 MIN: 11.63 / MAX: 16.39
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Xeon E-2278GEL 0.2048 0.4096 0.6144 0.8192 1.024 SE +/- 0.00, N = 5 0.91 MIN: 0.9
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis Xeon E-2278GEL 3 6 9 12 15 SE +/- 0.03, N = 3 9.87 MIN: 9.52 / MAX: 11.24
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Xeon E-2278GEL 0.5738 1.1476 1.7214 2.2952 2.869 SE +/- 0.00, N = 4 2.55 MIN: 2.49 / MAX: 3.4
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer Xeon E-2278GEL 30 60 90 120 150 SE +/- 1.49, N = 12 141.37 MIN: 111.11 / MAX: 166.67
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Read Xeon E-2278GEL 7M 14M 21M 28M 35M SE +/- 519521.07, N = 3 31243434 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Sequential Fill Xeon E-2278GEL 200K 400K 600K 800K 1000K SE +/- 23602.27, N = 15 1048061 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill Sync Xeon E-2278GEL 2K 4K 6K 8K 10K SE +/- 111.54, N = 15 9630 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Read While Writing Xeon E-2278GEL 300K 600K 900K 1200K 1500K SE +/- 9688.78, N = 3 1521687 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
Xeon E-2278GEL Processor: Intel Xeon E-2278GEL @ 3.90GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0001A027 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16384MB, Disk: 512GB TS512GMTE510T + 64GB Flash Drive, Graphics: Intel HD 3GB (1150MHz), Audio: Realtek ALC233, Monitor: G237HL, Network: Intel I219-LM + 2 x Intel I210
OS: Ubuntu 19.10, Kernel: 5.3.0-18-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.1, 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 powersaveJava Notes: OpenJDK Runtime Environment (build 11.0.5-ea+10-post-Ubuntu-0ubuntu1)Security 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 Enhanced IBRS IBPB: conditional RSB filling
Testing initiated at 20 October 2019 20:36 by user phoronix.