5900hx scikit learn

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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2305113-NE-5900HXSCI86
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
May 10 2023
  7 Hours, 56 Minutes
b
May 10 2023
  7 Hours, 34 Minutes
c
May 11 2023
  7 Hours, 33 Minutes
Invert Hiding All Results Option
  7 Hours, 41 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


5900hx scikit learnOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads)ASUS G513QY v1.0 (G513QY.318 BIOS)AMD Renoir/Cezanne16GB512GB SAMSUNG MZVLQ512HBLU-00B00ASUS AMD Cezanne 512MB (2500/1000MHz)AMD Navi 21/23LQ156M1JW25Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCIUbuntu 22.105.19.0-41-generic (x86_64)GNOME Shell 43.0X Server 1.21.1.4 + Wayland4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47)1.3.224GCC 12.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution5900hx Scikit Learn BenchmarksSystem 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

abcResult OverviewPhoronix Test Suite100%101%101%102%Scikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnScikit-LearnS.W.RTreeK.P.S.T.v.N.CPlot NeighborsH.G.B.C.OH.G.BMNIST DatasetText VectorizersK.P.S.T.v.N.SS.R.P.1.ITSNE MNIST DatasetC.D.BPlot Lasso PathPlot HierarchicalP.I.PH.G.B.H.BFeature ExpansionsP.P.K.AP.S.V.D2.N.L.RH.G.B.APlot WardSAGASGD RegressionLassoPlot OMP vs. LARSLocalOutlierFactorH.G.B.TGLMSparsify

5900hx scikit learnscikit-learn: Sparse Rand Projections / 100 Iterationsscikit-learn: SAGAscikit-learn: Kernel PCA Solvers / Time vs. N Componentsscikit-learn: Lassoscikit-learn: GLMscikit-learn: Covertype Dataset Benchmarkscikit-learn: TSNE MNIST Datasetscikit-learn: Plot Lasso Pathscikit-learn: Kernel PCA Solvers / Time vs. N Samplesscikit-learn: Hist Gradient Boosting Higgs Bosonscikit-learn: Hist Gradient Boosting Threadingscikit-learn: Plot Hierarchicalscikit-learn: Plot Polynomial Kernel Approximationscikit-learn: Plot Neighborsscikit-learn: Plot Singular Value Decompositionscikit-learn: Feature Expansionsscikit-learn: Sample Without Replacementscikit-learn: Sparsifyscikit-learn: Plot OMP vs. LARSscikit-learn: SGD Regressionscikit-learn: Treescikit-learn: Hist Gradient Boostingscikit-learn: Hist Gradient Boosting Adultscikit-learn: LocalOutlierFactorscikit-learn: MNIST Datasetscikit-learn: Text Vectorizersscikit-learn: Plot Wardscikit-learn: Plot Incremental PCAscikit-learn: 20 Newsgroups / Logistic Regressionscikit-learn: Hist Gradient Boosting Categorical Onlyscikit-learn: Glmnetabc760.377732.860169.270430.672406.904378.753236.977196.189193.44867.847183.486180.443149.925138.946135.597134.561119.672114.745104.786101.87540.72492.23671.04159.86859.28258.80954.35534.62742.01715.724767.671733.048170.439430.417407.075376.287235.418194.416193.39967.709183.553179.059150.684138.218136.273133.854122.696114.767104.643101.66341.49193.01071.04159.98559.96958.18554.55734.86442.22515.716762.752735.468172.701431.810406.724375.258237.618194.465195.46067.468183.756180.307150.152140.708136.193134.335120.901114.830104.965102.00241.61793.36670.75859.96959.80058.55754.36834.77242.09515.935OpenBenchmarking.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.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sparse Random Projections / 100 Iterationsbca170340510680850SE +/- 1.20, N = 3SE +/- 3.45, N = 3SE +/- 2.60, N = 3767.67762.75760.381. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SAGAcba160320480640800SE +/- 0.31, N = 3SE +/- 1.92, N = 3SE +/- 6.30, N = 3735.47733.05732.861. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Kernel PCA Solvers / Time vs. N Componentscba4080120160200SE +/- 2.77, N = 12SE +/- 2.38, N = 12SE +/- 2.86, N = 12172.70170.44169.271. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Lassocab90180270360450SE +/- 0.43, N = 3SE +/- 0.52, N = 3SE +/- 0.98, N = 3431.81430.67430.421. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: GLMbac90180270360450SE +/- 0.79, N = 3SE +/- 2.13, N = 3SE +/- 0.54, N = 3407.08406.90406.721. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Covertype Dataset Benchmarkabc80160240320400SE +/- 1.06, N = 3SE +/- 0.57, N = 3SE +/- 0.82, N = 3378.75376.29375.261. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: TSNE MNIST Datasetcab50100150200250SE +/- 0.31, N = 3SE +/- 0.39, N = 3SE +/- 0.31, N = 3237.62236.98235.421. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Lasso Pathacb4080120160200SE +/- 0.31, N = 3SE +/- 0.54, N = 3SE +/- 0.18, N = 3196.19194.47194.421. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Kernel PCA Solvers / Time vs. N Samplescab4080120160200SE +/- 0.78, N = 3SE +/- 1.38, N = 3SE +/- 0.46, N = 3195.46193.45193.401. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Higgs Bosonabc1530456075SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 367.8567.7167.471. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Threadingcba4080120160200SE +/- 0.21, N = 3SE +/- 0.23, N = 3SE +/- 0.15, N = 3183.76183.55183.491. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Hierarchicalacb4080120160200SE +/- 0.21, N = 3SE +/- 0.84, N = 3SE +/- 0.37, N = 3180.44180.31179.061. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Polynomial Kernel Approximationbca306090120150SE +/- 0.38, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3150.68150.15149.931. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Neighborscab306090120150SE +/- 0.77, N = 3SE +/- 1.26, N = 3SE +/- 1.49, N = 3140.71138.95138.221. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Singular Value Decompositionbca306090120150SE +/- 0.11, N = 3SE +/- 0.42, N = 3SE +/- 0.16, N = 3136.27136.19135.601. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Feature Expansionsacb306090120150SE +/- 0.35, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 3134.56134.34133.851. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sample Without Replacementbca306090120150SE +/- 0.79, N = 3SE +/- 1.46, N = 3SE +/- 0.18, N = 3122.70120.90119.671. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Sparsifycba306090120150SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.50, N = 3114.83114.77114.751. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot OMP vs. LARScab20406080100SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3104.97104.79104.641. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGD Regressioncab20406080100SE +/- 0.25, N = 3SE +/- 0.26, N = 3SE +/- 0.16, N = 3102.00101.88101.661. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Treecba918273645SE +/- 0.41, N = 5SE +/- 0.36, N = 15SE +/- 0.44, N = 541.6241.4940.721. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boostingcba20406080100SE +/- 0.74, N = 3SE +/- 0.95, N = 3SE +/- 0.17, N = 393.3793.0192.241. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Adultbac1632486480SE +/- 0.30, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 371.0471.0470.761. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: LocalOutlierFactorbca1326395265SE +/- 0.58, N = 3SE +/- 0.24, N = 3SE +/- 0.64, N = 359.9959.9759.871. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: MNIST Datasetbca1326395265SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 359.9759.8059.281. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Text Vectorizersacb1326395265SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 358.8158.5658.191. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Wardbca1224364860SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.29, N = 354.5654.3754.361. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Plot Incremental PCAbca816243240SE +/- 0.50, N = 3SE +/- 0.34, N = 6SE +/- 0.14, N = 334.8634.7734.631. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: 20 Newsgroups / Logistic Regressionbca1020304050SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 342.2342.1042.021. (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:

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting Categorical Onlycab48121620SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 315.9415.7215.721. (F9X) gfortran options: -O3 -fopenmp -fno-tree-vectorize -lm -lpthread -lgfortran -lc

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: 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: 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'