AMD Ryzen 7 2700X Eight-Core testing with a ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X 4GB on Ubuntu 19.04 via the Phoronix Test Suite.
AMD Ryzen 7 2700X Eight-Core Processor: AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS), Chipset: AMD 17h, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X 4GB (1260/1750MHz), Audio: AMD Ellesmere, Monitor: ASUS PB278, Network: Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/ac
OS: Ubuntu 19.04, Kernel: 5.0.0-15-generic (x86_64), Desktop: GNOME Shell 3.32.0, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.5 Mesa 19.0.2 (LLVM 8.0.0), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 2560x1440
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: acpi-cpufreq ondemandSecurity 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 __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling
Ryzen 7 2700X Linux OpenBenchmarking.org Phoronix Test Suite AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads) ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS) AMD 17h 16384MB Samsung SSD 970 EVO 250GB Sapphire AMD Radeon RX 470/480/570/570X/580/580X 4GB (1260/1750MHz) AMD Ellesmere ASUS PB278 Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/ac Ubuntu 19.04 5.0.0-15-generic (x86_64) GNOME Shell 3.32.0 X Server 1.20.4 modesetting 1.20.4 4.5 Mesa 19.0.2 (LLVM 8.0.0) GCC 8.3.0 ext4 2560x1440 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Ryzen 7 2700X Linux 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++ --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 - l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling
Ryzen 7 2700X Linux mkl-dnn: Convolution Batch conv_all - u8s8u8s32 mkl-dnn: Convolution Batch conv_all - u8s8f32s32 mysqlslap: 1 mkl-dnn: Convolution Batch conv_all - f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8u8s32 mkl-dnn: Deconvolution Batch deconv_all - u8s8u8s32 mysqlslap: 4 mkl-dnn: Deconvolution Batch deconv_all - f32 apache-siege: 250 apache-siege: 200 apache-siege: 100 vpxenc: vpxenc VP9 1080p Video Encode mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32s32 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 mkl-dnn: Convolution Batch conv_3d - u8s8u8s32 mkl-dnn: Convolution Batch conv_3d - u8s8f32s32 mkl-dnn: IP Batch 1D - u8s8u8s32 mkl-dnn: IP Batch 1D - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8u8s32 apache-siege: 50 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32s32 mkl-dnn: IP Batch All - u8s8f32s32 mkl-dnn: IP Batch All - u8s8u8s32 mkl-dnn: IP Batch All - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8u8s32 mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32s32 mkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32 apache: Static Web Page Serving dav1d: Summer Nature 4K mkl-dnn: Convolution Batch conv_alexnet - u8s8f32s32 mkl-dnn: Deconvolution Batch deconv_1d - f32 apache-siege: 10 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: IP Batch 1D - f32 dav1d: Summer Nature 1080p svt-vp9: 1080p 8-bit YUV To VP9 Video Encode svt-av1: 1080p 8-bit YUV To AV1 Video Encode svt-hevc: 1080p 8-bit YUV To HEVC Video Encode AMD Ryzen 7 2700X Eight-Core 54377.57 53949.17 855 5663.28 2680.36 41361.97 495 6180.69 32865.46 33031.39 30806.94 134.17 2731.19 316.15 13825.10 13852.83 59.30 58.71 9266.06 27503.68 8195.80 557.90 559.29 239.98 5257.95 35.19 4397.74 5380.88 28875.15 34.12 5237.78 31.43 30482.76 712.58 14.02 19.15 11.74 53.00 25.98 149.73 OpenBenchmarking.org
MKL-DNN This is a test of the Intel MKL-DNN as the Intel Math Kernel 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 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8u8s32 AMD Ryzen 7 2700X Eight-Core 12K 24K 36K 48K 60K SE +/- 102.61, N = 3 54377.57 MIN: 53816.3 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_all - Data Type: u8s8f32s32 AMD Ryzen 7 2700X Eight-Core 12K 24K 36K 48K 60K SE +/- 12.53, N = 3 53949.17 MIN: 53529.4 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN This is a test of the Intel MKL-DNN as the Intel Math Kernel 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 2019-04-16 Harness: Convolution Batch conv_all - Data Type: f32 AMD Ryzen 7 2700X Eight-Core 1200 2400 3600 4800 6000 SE +/- 1.02, N = 3 5663.28 MIN: 5641.8 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32 AMD Ryzen 7 2700X Eight-Core 600 1200 1800 2400 3000 SE +/- 49.74, N = 12 2680.36 MIN: 2283.64 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32 AMD Ryzen 7 2700X Eight-Core 9K 18K 27K 36K 45K SE +/- 472.79, N = 3 41361.97 MIN: 40335.7 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN This is a test of the Intel MKL-DNN as the Intel Math Kernel 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 2019-04-16 Harness: Deconvolution Batch deconv_all - Data Type: f32 AMD Ryzen 7 2700X Eight-Core 1300 2600 3900 5200 6500 SE +/- 17.71, N = 3 6180.69 MIN: 6078.52 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org Transactions Per Second, More Is Better Apache Siege 2.4.29 Concurrent Users: 200 AMD Ryzen 7 2700X Eight-Core 7K 14K 21K 28K 35K SE +/- 1120.33, N = 15 33031.39 1. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
OpenBenchmarking.org Transactions Per Second, More Is Better Apache Siege 2.4.29 Concurrent Users: 100 AMD Ryzen 7 2700X Eight-Core 7K 14K 21K 28K 35K SE +/- 769.03, N = 15 30806.94 1. (CC) gcc options: -O2 -lpthread -ldl -lssl -lcrypto
MKL-DNN This is a test of the Intel MKL-DNN as the Intel Math Kernel 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 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32 AMD Ryzen 7 2700X Eight-Core 600 1200 1800 2400 3000 SE +/- 3.59, N = 3 2731.19 MIN: 2709.21 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 AMD Ryzen 7 2700X Eight-Core 70 140 210 280 350 SE +/- 0.51, N = 3 316.15 MIN: 311.96 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32 AMD Ryzen 7 2700X Eight-Core 3K 6K 9K 12K 15K SE +/- 1.77, N = 3 13825.10 MIN: 13811.1 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32 AMD Ryzen 7 2700X Eight-Core 3K 6K 9K 12K 15K SE +/- 31.63, N = 3 13852.83 MIN: 13794.7 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: u8s8u8s32 AMD Ryzen 7 2700X Eight-Core 13 26 39 52 65 SE +/- 1.86, N = 15 59.30 MIN: 40.76 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: u8s8f32s32 AMD Ryzen 7 2700X Eight-Core 13 26 39 52 65 SE +/- 1.83, N = 15 58.71 MIN: 40.59 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32 AMD Ryzen 7 2700X Eight-Core 2K 4K 6K 8K 10K SE +/- 149.98, N = 3 9266.06 MIN: 9091.53 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN This is a test of the Intel MKL-DNN as the Intel Math Kernel 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 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32 AMD Ryzen 7 2700X Eight-Core 2K 4K 6K 8K 10K SE +/- 3.58, N = 3 8195.80 MIN: 8171.85 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: u8s8f32s32 AMD Ryzen 7 2700X Eight-Core 120 240 360 480 600 SE +/- 1.04, N = 3 557.90 MIN: 547.96 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: u8s8u8s32 AMD Ryzen 7 2700X Eight-Core 120 240 360 480 600 SE +/- 1.85, N = 3 559.29 MIN: 551.27 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch All - Data Type: f32 AMD Ryzen 7 2700X Eight-Core 50 100 150 200 250 SE +/- 2.53, N = 3 239.98 MIN: 234.36 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32 AMD Ryzen 7 2700X Eight-Core 1100 2200 3300 4400 5500 SE +/- 1.20, N = 3 5257.95 MIN: 5253.67 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_3d - Data Type: f32 AMD Ryzen 7 2700X Eight-Core 8 16 24 32 40 SE +/- 0.03, N = 3 35.19 MIN: 34.52 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32 AMD Ryzen 7 2700X Eight-Core 900 1800 2700 3600 4500 SE +/- 2.46, N = 3 4397.74 MIN: 4389.76 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32 AMD Ryzen 7 2700X Eight-Core 1200 2400 3600 4800 6000 SE +/- 6.84, N = 3 5380.88 MIN: 5340.73 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
Apache Benchmark This is a test of ab, which is the Apache benchmark program. This test profile measures how many requests per second a given system can sustain when carrying out 1,000,000 requests with 100 requests being carried out concurrently. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Requests Per Second, More Is Better Apache Benchmark 2.4.29 Static Web Page Serving AMD Ryzen 7 2700X Eight-Core 6K 12K 18K 24K 30K SE +/- 122.08, N = 3 28875.15 1. (CC) gcc options: -shared -fPIC -O2 -pthread
MKL-DNN This is a test of the Intel MKL-DNN as the Intel Math Kernel 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 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32 AMD Ryzen 7 2700X Eight-Core 1100 2200 3300 4400 5500 SE +/- 10.89, N = 3 5237.78 MIN: 5181.72 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_1d - Data Type: f32 AMD Ryzen 7 2700X Eight-Core 7 14 21 28 35 SE +/- 0.02, N = 3 31.43 MIN: 31.13 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
MKL-DNN This is a test of the Intel MKL-DNN as the Intel Math Kernel 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 2019-04-16 Harness: Convolution Batch conv_alexnet - Data Type: f32 AMD Ryzen 7 2700X Eight-Core 150 300 450 600 750 SE +/- 1.21, N = 3 712.58 MIN: 707.74 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: Deconvolution Batch deconv_3d - Data Type: f32 AMD Ryzen 7 2700X Eight-Core 4 8 12 16 20 SE +/- 0.14, N = 15 14.02 MIN: 13.08 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN 2019-04-16 Harness: IP Batch 1D - Data Type: f32 AMD Ryzen 7 2700X Eight-Core 5 10 15 20 25 SE +/- 0.05, N = 3 19.15 MIN: 18.83 1. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -ldl
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 2019-02-17 1080p 8-bit YUV To VP9 Video Encode AMD Ryzen 7 2700X Eight-Core 12 24 36 48 60 SE +/- 0.07, N = 3 53.00 1. (CC) gcc options: -fPIE -fPIC -O2 -flto -fvisibility=hidden -mavx -pie -rdynamic -lpthread -lrt -lm
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.5 1080p 8-bit YUV To AV1 Video Encode AMD Ryzen 7 2700X Eight-Core 6 12 18 24 30 SE +/- 0.07, N = 3 25.98 1. (CXX) g++ options: -O3 -pie -lpthread -lm
SVT-HEVC This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 2019-02-03 1080p 8-bit YUV To HEVC Video Encode AMD Ryzen 7 2700X Eight-Core 30 60 90 120 150 SE +/- 0.45, N = 3 149.73 1. (CC) gcc options: -fPIE -fPIC -O2 -flto -fvisibility=hidden -march=native -pie -rdynamic -lpthread -lrt
AMD Ryzen 7 2700X Eight-Core Processor: AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS), Chipset: AMD 17h, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X 4GB (1260/1750MHz), Audio: AMD Ellesmere, Monitor: ASUS PB278, Network: Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/ac
OS: Ubuntu 19.04, Kernel: 5.0.0-15-generic (x86_64), Desktop: GNOME Shell 3.32.0, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.5 Mesa 19.0.2 (LLVM 8.0.0), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 2560x1440
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: acpi-cpufreq ondemandSecurity 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 __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling
Testing initiated at 7 June 2019 13:13 by user phoronix.