tests Intel Xeon E5-2687W v3 testing with a MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS) and NVIDIA GeForce GTX 770 2GB on Ubuntu 19.04 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 1910047-AS-TESTS964002 Intel Xeon E5-2687W v3 Processor: Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads), Motherboard: MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32768MB, Disk: 80GB INTEL SSDSCKGW08, Graphics: NVIDIA GeForce GTX 770 2GB, Audio: Realtek ALC892, Network: Intel I218-V
OS: Ubuntu 19.04, Kernel: 5.3.0-999-generic (x86_64) 20190806, Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 8.3.0, File-System: ext4
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: intel_pstate powersaveSecurity Notes: l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling
tests OpenBenchmarking.org Phoronix Test Suite Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads) MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS) Intel Xeon E7 v3/Xeon 32768MB 80GB INTEL SSDSCKGW08 NVIDIA GeForce GTX 770 2GB Realtek ALC892 Intel I218-V Ubuntu 19.04 5.3.0-999-generic (x86_64) 20190806 GNOME Shell 3.32.2 X Server 1.20.4 modesetting 1.20.4 GCC 8.3.0 ext4 Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver Compiler File-System Tests Performance 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: intel_pstate powersave - l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling
tests 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: 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_alexnet - u8s8f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32 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 Intel Xeon E5-2687W v3 9.62 20.60 92.35 439.72 22.65 3016.70 16715.50 6.38 8.24 407.42 50364.80 3628.46 6004.14 9931.40 282.51 4245.35 167.82 2400.92 13.45 2.40 1.20 17.24 1.31 11.76 3.69 166.67 9.47 10.61 11.15 10.03 13.29 11.52 7.07 1.59 1.57 32.73 31.43 9.28 11.50 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: IP Batch 1D - Data Type: f32 Intel Xeon E5-2687W v3 3 6 9 12 15 SE +/- 0.02, N = 3 9.62 MIN: 9.53 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 Intel Xeon E5-2687W v3 5 10 15 20 25 SE +/- 0.03, N = 3 20.60 MIN: 20.42 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: IP Batch 1D - Data Type: u8s8f32 Intel Xeon E5-2687W v3 20 40 60 80 100 SE +/- 0.27, N = 3 92.35 MIN: 90.76 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 Intel Xeon E5-2687W v3 100 200 300 400 500 SE +/- 0.92, N = 3 439.72 MIN: 433.93 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: f32 Intel Xeon E5-2687W v3 5 10 15 20 25 SE +/- 0.02, N = 3 22.65 MIN: 22.36 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 Intel Xeon E5-2687W v3 600 1200 1800 2400 3000 SE +/- 2.79, N = 3 3016.70 MIN: 3000.74 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 Intel Xeon E5-2687W v3 4K 8K 12K 16K 20K SE +/- 29.35, N = 3 16715.50 MIN: 16670.7 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 Intel Xeon E5-2687W v3 2 4 6 8 10 SE +/- 0.04, N = 3 6.38 MIN: 6.26 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 Intel Xeon E5-2687W v3 2 4 6 8 10 SE +/- 0.01, N = 3 8.24 MIN: 8.14 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_alexnet - Data Type: f32 Intel Xeon E5-2687W v3 90 180 270 360 450 SE +/- 0.74, N = 3 407.42 MIN: 405.59 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 Intel Xeon E5-2687W v3 11K 22K 33K 44K 55K SE +/- 51.64, N = 3 50364.80 MIN: 50181.9 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 Intel Xeon E5-2687W v3 800 1600 2400 3200 4000 SE +/- 1.38, N = 3 3628.46 MIN: 3616.88 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_1d - Data Type: u8s8f32 Intel Xeon E5-2687W v3 1300 2600 3900 5200 6500 SE +/- 10.43, N = 3 6004.14 MIN: 5984.56 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_3d - Data Type: u8s8f32 Intel Xeon E5-2687W v3 2K 4K 6K 8K 10K SE +/- 3.68, N = 3 9931.40 MIN: 9919.73 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: Recurrent Neural Network Training - Data Type: f32 Intel Xeon E5-2687W v3 60 120 180 240 300 SE +/- 0.08, N = 3 282.51 MIN: 281.98 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_alexnet - Data Type: u8s8f32 Intel Xeon E5-2687W v3 900 1800 2700 3600 4500 SE +/- 6.15, N = 3 4245.35 MIN: 4231.59 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 Intel Xeon E5-2687W v3 40 80 120 160 200 SE +/- 0.18, N = 3 167.82 MIN: 166.06 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: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 Intel Xeon E5-2687W v3 500 1000 1500 2000 2500 SE +/- 2.18, N = 3 2400.92 MIN: 2389.52 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 Intel Xeon E5-2687W v3 3 6 9 12 15 SE +/- 0.06, N = 3 13.45 MIN: 12.66 / MAX: 13.51
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Intel Xeon E5-2687W v3 0.54 1.08 1.62 2.16 2.7 SE +/- 0.00, N = 6 2.40 MIN: 2.35 / MAX: 2.42
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer Intel Xeon E5-2687W v3 0.27 0.54 0.81 1.08 1.35 SE +/- 0.00, N = 3 1.20 MIN: 1.18 / MAX: 1.21
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis Intel Xeon E5-2687W v3 4 8 12 16 20 SE +/- 0.00, N = 12 17.24 MIN: 16.39 / MAX: 17.54
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Intel Xeon E5-2687W v3 0.2948 0.5896 0.8844 1.1792 1.474 SE +/- 0.00, N = 9 1.31 MIN: 1.29 / MAX: 1.32
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis Intel Xeon E5-2687W v3 3 6 9 12 15 SE +/- 0.00, N = 12 11.76 MIN: 11.24 / MAX: 11.9
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Intel Xeon E5-2687W v3 0.8303 1.6606 2.4909 3.3212 4.1515 SE +/- 0.00, N = 6 3.69 MIN: 3.6 / MAX: 3.76
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer Intel Xeon E5-2687W v3 40 80 120 160 200 SE +/- 0.00, N = 12 166.67 MIN: 125
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Crown Intel Xeon E5-2687W v3 3 6 9 12 15 SE +/- 0.01, N = 3 10.61 MIN: 10.54 / MAX: 10.79
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Intel Xeon E5-2687W v3 3 6 9 12 15 SE +/- 0.03, N = 3 11.15 MIN: 11.05 / MAX: 11.31
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer - Model: Asian Dragon Obj Intel Xeon E5-2687W v3 3 6 9 12 15 SE +/- 0.01, N = 3 10.03 MIN: 9.97 / MAX: 10.14
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Intel Xeon E5-2687W v3 3 6 9 12 15 SE +/- 0.01, N = 3 13.29 MIN: 13.22 / MAX: 13.46
OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.6.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Intel Xeon E5-2687W v3 3 6 9 12 15 SE +/- 0.02, N = 3 11.52 MIN: 11.43 / MAX: 11.68
OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.2 Scene: Rainbow Colors and Prism Intel Xeon E5-2687W v3 0.3533 0.7066 1.0599 1.4132 1.7665 SE +/- 0.01, N = 3 1.57 MIN: 1.52 / MAX: 1.66
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 Intel Xeon E5-2687W v3 8 16 24 32 40 SE +/- 0.05, N = 3 32.73 1. (CXX) g++ options: -std=c++0x -march=haswell -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -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 -lpthread -ldl
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Water Caustic Intel Xeon E5-2687W v3 7 14 21 28 35 SE +/- 0.06, N = 3 31.43 1. (CXX) g++ options: -std=c++0x -march=haswell -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -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 -lpthread -ldl
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Non-Exponential Intel Xeon E5-2687W v3 3 6 9 12 15 SE +/- 0.04, N = 4 9.28 1. (CXX) g++ options: -std=c++0x -march=haswell -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -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 -lpthread -ldl
OpenBenchmarking.org Seconds, Fewer Is Better Tungsten Renderer 0.2.2 Scene: Volumetric Caustic Intel Xeon E5-2687W v3 3 6 9 12 15 SE +/- 0.03, N = 3 11.50 1. (CXX) g++ options: -std=c++0x -march=haswell -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -mfma -mbmi2 -mno-sse4a -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 -lpthread -ldl
Intel Xeon E5-2687W v3 Processor: Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads), Motherboard: MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32768MB, Disk: 80GB INTEL SSDSCKGW08, Graphics: NVIDIA GeForce GTX 770 2GB, Audio: Realtek ALC892, Network: Intel I218-V
OS: Ubuntu 19.04, Kernel: 5.3.0-999-generic (x86_64) 20190806, Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, Compiler: GCC 8.3.0, File-System: ext4
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: intel_pstate powersaveSecurity Notes: l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling
Testing initiated at 4 October 2019 06:05 by user phoronix.