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: Sample Without Replacement scikit-learn: Tree scikit-learn: Kernel PCA Solvers / Time vs. N Components scikit-learn: Plot Neighbors scikit-learn: Hist Gradient Boosting Categorical Only scikit-learn: Hist Gradient Boosting scikit-learn: MNIST Dataset scikit-learn: Text Vectorizers scikit-learn: Kernel PCA Solvers / Time vs. N Samples scikit-learn: Sparse Rand Projections / 100 Iterations scikit-learn: TSNE MNIST Dataset scikit-learn: Covertype Dataset Benchmark scikit-learn: Plot Lasso Path scikit-learn: Plot Hierarchical scikit-learn: Plot Incremental PCA scikit-learn: Hist Gradient Boosting Higgs Boson scikit-learn: Feature Expansions scikit-learn: Plot Polynomial Kernel Approximation scikit-learn: Plot Singular Value Decomposition scikit-learn: 20 Newsgroups / Logistic Regression scikit-learn: Hist Gradient Boosting Adult scikit-learn: Plot Ward scikit-learn: SAGA scikit-learn: SGD Regression scikit-learn: Lasso scikit-learn: Plot OMP vs. LARS scikit-learn: LocalOutlierFactor scikit-learn: Hist Gradient Boosting Threading scikit-learn: GLM scikit-learn: Sparsify scikit-learn: Glmnet a b c 119.672 40.724 169.270 138.946 15.724 92.236 59.282 58.809 193.448 760.377 236.977 378.753 196.189 180.443 34.627 67.847 134.561 149.925 135.597 42.017 71.041 54.355 732.860 101.875 430.672 104.786 59.868 183.486 406.904 114.745 122.696 41.491 170.439 138.218 15.716 93.010 59.969 58.185 193.399 767.671 235.418 376.287 194.416 179.059 34.864 67.709 133.854 150.684 136.273 42.225 71.041 54.557 733.048 101.663 430.417 104.643 59.985 183.553 407.075 114.767 120.901 41.617 172.701 140.708 15.935 93.366 59.800 58.557 195.460 762.752 237.618 375.258 194.465 180.307 34.772 67.468 134.335 150.152 136.193 42.095 70.758 54.368 735.468 102.002 431.810 104.965 59.969 183.756 406.724 114.830 OpenBenchmarking.org
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.2.2 Benchmark: Tree a b c 9 18 27 36 45 SE +/- 0.44, N = 5 SE +/- 0.36, N = 15 SE +/- 0.41, N = 5 40.72 41.49 41.62 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 a b c 40 80 120 160 200 SE +/- 2.86, N = 12 SE +/- 2.38, N = 12 SE +/- 2.77, N = 12 169.27 170.44 172.70 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 b a c 30 60 90 120 150 SE +/- 1.49, N = 3 SE +/- 1.26, N = 3 SE +/- 0.77, N = 3 138.22 138.95 140.71 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 Categorical Only b a c 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.18, N = 3 15.72 15.72 15.94 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 a b c 20 40 60 80 100 SE +/- 0.17, N = 3 SE +/- 0.95, N = 3 SE +/- 0.74, N = 3 92.24 93.01 93.37 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 a c b 13 26 39 52 65 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 59.28 59.80 59.97 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 b c a 13 26 39 52 65 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 58.19 58.56 58.81 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 b a c 40 80 120 160 200 SE +/- 0.46, N = 3 SE +/- 1.38, N = 3 SE +/- 0.78, N = 3 193.40 193.45 195.46 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: Sparse Random Projections / 100 Iterations a c b 170 340 510 680 850 SE +/- 2.60, N = 3 SE +/- 3.45, N = 3 SE +/- 1.20, N = 3 760.38 762.75 767.67 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: TSNE MNIST Dataset b a c 50 100 150 200 250 SE +/- 0.31, N = 3 SE +/- 0.39, N = 3 SE +/- 0.31, N = 3 235.42 236.98 237.62 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 c b a 80 160 240 320 400 SE +/- 0.82, N = 3 SE +/- 0.57, N = 3 SE +/- 1.06, N = 3 375.26 376.29 378.75 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 Lasso Path b c a 40 80 120 160 200 SE +/- 0.18, N = 3 SE +/- 0.54, N = 3 SE +/- 0.31, N = 3 194.42 194.47 196.19 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 Hierarchical b c a 40 80 120 160 200 SE +/- 0.37, N = 3 SE +/- 0.84, N = 3 SE +/- 0.21, N = 3 179.06 180.31 180.44 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 a c b 8 16 24 32 40 SE +/- 0.14, N = 3 SE +/- 0.34, N = 6 SE +/- 0.50, N = 3 34.63 34.77 34.86 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: Hist Gradient Boosting Higgs Boson c b a 15 30 45 60 75 SE +/- 0.02, N = 3 SE +/- 0.18, N = 3 SE +/- 0.07, N = 3 67.47 67.71 67.85 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: Feature Expansions b c a 30 60 90 120 150 SE +/- 0.21, N = 3 SE +/- 0.04, N = 3 SE +/- 0.35, N = 3 133.85 134.34 134.56 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 Polynomial Kernel Approximation a c b 30 60 90 120 150 SE +/- 0.18, N = 3 SE +/- 0.07, N = 3 SE +/- 0.38, N = 3 149.93 150.15 150.68 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 Singular Value Decomposition a c b 30 60 90 120 150 SE +/- 0.16, N = 3 SE +/- 0.42, N = 3 SE +/- 0.11, N = 3 135.60 136.19 136.27 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: 20 Newsgroups / Logistic Regression a c b 10 20 30 40 50 SE +/- 0.14, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 42.02 42.10 42.23 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 c a b 16 32 48 64 80 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.30, N = 3 70.76 71.04 71.04 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 a c b 12 24 36 48 60 SE +/- 0.29, N = 3 SE +/- 0.04, N = 3 SE +/- 0.18, N = 3 54.36 54.37 54.56 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 a b c 160 320 480 640 800 SE +/- 6.30, N = 3 SE +/- 1.92, N = 3 SE +/- 0.31, N = 3 732.86 733.05 735.47 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 b a c 20 40 60 80 100 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.25, N = 3 101.66 101.88 102.00 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 b a c 90 180 270 360 450 SE +/- 0.98, N = 3 SE +/- 0.52, N = 3 SE +/- 0.43, N = 3 430.42 430.67 431.81 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 b a c 20 40 60 80 100 SE +/- 0.08, N = 3 SE +/- 0.21, N = 3 SE +/- 0.24, N = 3 104.64 104.79 104.97 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 a c b 13 26 39 52 65 SE +/- 0.64, N = 3 SE +/- 0.24, N = 3 SE +/- 0.58, N = 3 59.87 59.97 59.99 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 Threading a b c 40 80 120 160 200 SE +/- 0.15, N = 3 SE +/- 0.23, N = 3 SE +/- 0.21, N = 3 183.49 183.55 183.76 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: GLM c a b 90 180 270 360 450 SE +/- 0.54, N = 3 SE +/- 2.13, N = 3 SE +/- 0.79, N = 3 406.72 406.90 407.08 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 a b c 30 60 90 120 150 SE +/- 0.50, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 114.75 114.77 114.83 1. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc
Benchmark: Plot Non-Negative Matrix Factorization
a: The test quit with a non-zero exit status. E: KeyError:
b: The test quit with a non-zero exit status. E: KeyError:
c: The test quit with a non-zero exit status. E: KeyError:
Benchmark: Isotonic / Perturbed Logarithm
a: The test quit with a non-zero exit status.
b: The test quit with a non-zero exit status.
c: The test quit with a non-zero exit status.
Benchmark: RCV1 Logreg Convergencet
a: The test quit with a non-zero exit status. E: IndexError: list index out of range
b: The test quit with a non-zero exit status. E: IndexError: list index out of range
c: The test quit with a non-zero exit status. E: IndexError: list index out of range
Benchmark: Isotonic / Pathological
a: The test quit with a non-zero exit status.
b: The test quit with a non-zero exit status.
c: The test quit with a non-zero exit status.
Benchmark: Plot Parallel Pairwise
a: The test quit with a non-zero exit status. E: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 74.5 GiB for an array with shape (100000, 100000) and data type float64
b: The test quit with a non-zero exit status. E: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 74.5 GiB for an array with shape (100000, 100000) and data type float64
c: The test quit with a non-zero exit status. E: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 74.5 GiB for an array with shape (100000, 100000) and data type float64
Benchmark: Isotonic / Logistic
a: The test quit with a non-zero exit status.
b: The test quit with a non-zero exit status.
c: The test quit with a non-zero exit status.
Benchmark: Plot Fast KMeans
a: The test quit with a non-zero exit status.
b: The test quit with a non-zero exit status.
c: The test quit with a non-zero exit status.
Benchmark: Isolation Forest
a: The test quit with a non-zero exit status. E: OSError: The cache for fetch_kddcup99 is invalid, please delete /home/phoronix/scikit_learn_data/kddcup99-py3 and run the fetch_kddcup99 again
b: The test quit with a non-zero exit status. E: OSError: The cache for fetch_kddcup99 is invalid, please delete /home/phoronix/scikit_learn_data/kddcup99-py3 and run the fetch_kddcup99 again
c: The test quit with a non-zero exit status. E: OSError: The cache for fetch_kddcup99 is invalid, please delete /home/phoronix/scikit_learn_data/kddcup99-py3 and run the fetch_kddcup99 again
Benchmark: SGDOneClassSVM
a: The test quit with a non-zero exit status. E: OSError: The cache for fetch_kddcup99 is invalid, please delete /home/phoronix/scikit_learn_data/kddcup99-py3 and run the fetch_kddcup99 again
b: The test quit with a non-zero exit status. E: OSError: The cache for fetch_kddcup99 is invalid, please delete /home/phoronix/scikit_learn_data/kddcup99-py3 and run the fetch_kddcup99 again
c: The test quit with a non-zero exit status. E: OSError: The cache for fetch_kddcup99 is invalid, please delete /home/phoronix/scikit_learn_data/kddcup99-py3 and run the fetch_kddcup99 again
Benchmark: Glmnet
a: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'
b: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'
c: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'
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.