AMD Ryzen 9 5900HX testing with a ASUS G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Ubuntu 22.10 via the Phoronix Test Suite.
a Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-gcn/usr --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa50000c - ACPI Profile: balancedPython Notes: Python 3.10.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
b c Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB (2500/1000MHz), Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI
OS: Ubuntu 22.10, Kernel: 5.19.0-41-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
5900hx scikit learn OpenBenchmarking.org Phoronix Test Suite AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads) ASUS G513QY v1.0 (G513QY.318 BIOS) AMD Renoir/Cezanne 16GB 512GB SAMSUNG MZVLQ512HBLU-00B00 ASUS AMD Cezanne 512MB (2500/1000MHz) AMD Navi 21/23 LQ156M1JW25 Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI Ubuntu 22.10 5.19.0-41-generic (x86_64) GNOME Shell 43.0 X Server 1.21.1.4 + Wayland 4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47) 1.3.224 GCC 12.2.0 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution 5900hx Scikit Learn Benchmarks System Logs - Transparent Huge Pages: madvise - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-gcn/usr --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 - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa50000c - ACPI Profile: balanced - Python 3.10.7 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
a b c Result Overview Phoronix Test Suite 100% 101% 101% 102% Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn Scikit-Learn S.W.R Tree K.P.S.T.v.N.C Plot Neighbors H.G.B.C.O H.G.B MNIST Dataset Text Vectorizers K.P.S.T.v.N.S S.R.P.1.I TSNE MNIST Dataset C.D.B Plot Lasso Path Plot Hierarchical P.I.P H.G.B.H.B Feature Expansions P.P.K.A P.S.V.D 2.N.L.R H.G.B.A Plot Ward SAGA SGD Regression Lasso Plot OMP vs. LARS LocalOutlierFactor H.G.B.T GLM Sparsify
5900hx scikit learn scikit-learn: Sparse Rand Projections / 100 Iterations scikit-learn: SAGA scikit-learn: Kernel PCA Solvers / Time vs. N Components scikit-learn: Lasso scikit-learn: GLM scikit-learn: Covertype Dataset Benchmark scikit-learn: TSNE MNIST Dataset scikit-learn: Plot Lasso Path scikit-learn: Kernel PCA Solvers / Time vs. N Samples scikit-learn: Hist Gradient Boosting Higgs Boson scikit-learn: Hist Gradient Boosting Threading scikit-learn: Plot Hierarchical scikit-learn: Plot Polynomial Kernel Approximation scikit-learn: Plot Neighbors scikit-learn: Plot Singular Value Decomposition scikit-learn: Feature Expansions scikit-learn: Sample Without Replacement scikit-learn: Sparsify scikit-learn: Plot OMP vs. LARS scikit-learn: SGD Regression scikit-learn: Tree scikit-learn: Hist Gradient Boosting scikit-learn: Hist Gradient Boosting Adult scikit-learn: LocalOutlierFactor scikit-learn: MNIST Dataset scikit-learn: Text Vectorizers scikit-learn: Plot Ward scikit-learn: Plot Incremental PCA scikit-learn: 20 Newsgroups / Logistic Regression scikit-learn: Hist Gradient Boosting Categorical Only scikit-learn: Glmnet a b c 760.377 732.860 169.270 430.672 406.904 378.753 236.977 196.189 193.448 67.847 183.486 180.443 149.925 138.946 135.597 134.561 119.672 114.745 104.786 101.875 40.724 92.236 71.041 59.868 59.282 58.809 54.355 34.627 42.017 15.724 767.671 733.048 170.439 430.417 407.075 376.287 235.418 194.416 193.399 67.709 183.553 179.059 150.684 138.218 136.273 133.854 122.696 114.767 104.643 101.663 41.491 93.010 71.041 59.985 59.969 58.185 54.557 34.864 42.225 15.716 762.752 735.468 172.701 431.810 406.724 375.258 237.618 194.465 195.460 67.468 183.756 180.307 150.152 140.708 136.193 134.335 120.901 114.830 104.965 102.002 41.617 93.366 70.758 59.969 59.800 58.557 54.368 34.772 42.095 15.935 OpenBenchmarking.org
Scikit-Learn Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Sparse Random Projections / 100 Iterations b c a 170 340 510 680 850 SE +/- 1.20, N = 3 SE +/- 3.45, N = 3 SE +/- 2.60, N = 3 767.67 762.75 760.38 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: SAGA c b a 160 320 480 640 800 SE +/- 0.31, N = 3 SE +/- 1.92, N = 3 SE +/- 6.30, N = 3 735.47 733.05 732.86 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Kernel PCA Solvers / Time vs. N Components c b a 40 80 120 160 200 SE +/- 2.77, N = 12 SE +/- 2.38, N = 12 SE +/- 2.86, N = 12 172.70 170.44 169.27 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Lasso c a b 90 180 270 360 450 SE +/- 0.43, N = 3 SE +/- 0.52, N = 3 SE +/- 0.98, N = 3 431.81 430.67 430.42 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: GLM b a c 90 180 270 360 450 SE +/- 0.79, N = 3 SE +/- 2.13, N = 3 SE +/- 0.54, N = 3 407.08 406.90 406.72 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Covertype Dataset Benchmark a b c 80 160 240 320 400 SE +/- 1.06, N = 3 SE +/- 0.57, N = 3 SE +/- 0.82, N = 3 378.75 376.29 375.26 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
Benchmark: Isotonic / Pathological
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OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: TSNE MNIST Dataset c a b 50 100 150 200 250 SE +/- 0.31, N = 3 SE +/- 0.39, N = 3 SE +/- 0.31, N = 3 237.62 236.98 235.42 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Plot Lasso Path a c b 40 80 120 160 200 SE +/- 0.31, N = 3 SE +/- 0.54, N = 3 SE +/- 0.18, N = 3 196.19 194.47 194.42 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Kernel PCA Solvers / Time vs. N Samples c a b 40 80 120 160 200 SE +/- 0.78, N = 3 SE +/- 1.38, N = 3 SE +/- 0.46, N = 3 195.46 193.45 193.40 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Hist Gradient Boosting Higgs Boson a b c 15 30 45 60 75 SE +/- 0.07, N = 3 SE +/- 0.18, N = 3 SE +/- 0.02, N = 3 67.85 67.71 67.47 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
Benchmark: Isotonic / Logistic
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OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Hist Gradient Boosting Threading c b a 40 80 120 160 200 SE +/- 0.21, N = 3 SE +/- 0.23, N = 3 SE +/- 0.15, N = 3 183.76 183.55 183.49 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Plot Hierarchical a c b 40 80 120 160 200 SE +/- 0.21, N = 3 SE +/- 0.84, N = 3 SE +/- 0.37, N = 3 180.44 180.31 179.06 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
Benchmark: Plot Fast KMeans
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OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Plot Polynomial Kernel Approximation b c a 30 60 90 120 150 SE +/- 0.38, N = 3 SE +/- 0.07, N = 3 SE +/- 0.18, N = 3 150.68 150.15 149.93 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Plot Neighbors c a b 30 60 90 120 150 SE +/- 0.77, N = 3 SE +/- 1.26, N = 3 SE +/- 1.49, N = 3 140.71 138.95 138.22 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
Benchmark: Isotonic / Perturbed Logarithm
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OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Plot Singular Value Decomposition b c a 30 60 90 120 150 SE +/- 0.11, N = 3 SE +/- 0.42, N = 3 SE +/- 0.16, N = 3 136.27 136.19 135.60 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Feature Expansions a c b 30 60 90 120 150 SE +/- 0.35, N = 3 SE +/- 0.04, N = 3 SE +/- 0.21, N = 3 134.56 134.34 133.85 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Sample Without Replacement b c a 30 60 90 120 150 SE +/- 0.79, N = 3 SE +/- 1.46, N = 3 SE +/- 0.18, N = 3 122.70 120.90 119.67 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Sparsify c b a 30 60 90 120 150 SE +/- 0.14, N = 3 SE +/- 0.20, N = 3 SE +/- 0.50, N = 3 114.83 114.77 114.75 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Plot OMP vs. LARS c a b 20 40 60 80 100 SE +/- 0.24, N = 3 SE +/- 0.21, N = 3 SE +/- 0.08, N = 3 104.97 104.79 104.64 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: SGD Regression c a b 20 40 60 80 100 SE +/- 0.25, N = 3 SE +/- 0.26, N = 3 SE +/- 0.16, N = 3 102.00 101.88 101.66 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Tree c b a 9 18 27 36 45 SE +/- 0.41, N = 5 SE +/- 0.36, N = 15 SE +/- 0.44, N = 5 41.62 41.49 40.72 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Hist Gradient Boosting c b a 20 40 60 80 100 SE +/- 0.74, N = 3 SE +/- 0.95, N = 3 SE +/- 0.17, N = 3 93.37 93.01 92.24 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Hist Gradient Boosting Adult b a c 16 32 48 64 80 SE +/- 0.30, N = 3 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 71.04 71.04 70.76 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: LocalOutlierFactor b c a 13 26 39 52 65 SE +/- 0.58, N = 3 SE +/- 0.24, N = 3 SE +/- 0.64, N = 3 59.99 59.97 59.87 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: MNIST Dataset b c a 13 26 39 52 65 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 59.97 59.80 59.28 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Text Vectorizers a c b 13 26 39 52 65 SE +/- 0.02, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 58.81 58.56 58.19 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Plot Ward b c a 12 24 36 48 60 SE +/- 0.18, N = 3 SE +/- 0.04, N = 3 SE +/- 0.29, N = 3 54.56 54.37 54.36 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Plot Incremental PCA b c a 8 16 24 32 40 SE +/- 0.50, N = 3 SE +/- 0.34, N = 6 SE +/- 0.14, N = 3 34.86 34.77 34.63 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: 20 Newsgroups / Logistic Regression b c a 10 20 30 40 50 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.14, N = 3 42.23 42.10 42.02 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
Benchmark: Plot Non-Negative Matrix Factorization
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OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Hist Gradient Boosting Categorical Only c a b 4 8 12 16 20 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 15.94 15.72 15.72 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
Benchmark: RCV1 Logreg Convergencet
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Benchmark: Plot Parallel Pairwise
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Benchmark: Isolation Forest
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Benchmark: SGDOneClassSVM
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Benchmark: Glmnet
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a Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-gcn/usr --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa50000c - ACPI Profile: balancedPython Notes: Python 3.10.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 10 May 2023 09:15 by user pts.
b Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-gcn/usr --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa50000c - ACPI Profile: balancedPython Notes: Python 3.10.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 10 May 2023 17:31 by user pts.
c Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB (2500/1000MHz), Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI
OS: Ubuntu 22.10, Kernel: 5.19.0-41-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-gcn/usr --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 -vProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa50000c - ACPI Profile: balancedPython Notes: Python 3.10.7Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 11 May 2023 05:19 by user phoronix.