AMD Ryzen 9 3900X 12-Core testing with a MSI X570-A PRO (MS-7C37) v3.0 (H.70 BIOS) and NVIDIA GeForce RTX 3060 on Ubuntu 24.04 via the Phoronix Test Suite. Noble python 3.12 performance vs. python compiled without frame pointers.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2405056-VPA1-MERGE7223
SCIKIT-leaRn tests
AMD Ryzen 9 3900X 12-Core testing with a MSI X570-A PRO (MS-7C37) v3.0 (H.70 BIOS) and NVIDIA GeForce RTX 3060 on Ubuntu 24.04 via the Phoronix Test Suite. Noble python 3.12 performance vs. python compiled without frame pointers.
,,"noble","scikit-learn-python-disabled-fp"
Processor,,AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads),AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)
Motherboard,,MSI X570-A PRO (MS-7C37) v3.0 (H.70 BIOS),MSI X570-A PRO (MS-7C37) v3.0 (H.70 BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,2 x 16GB DDR4-3200MT/s F4-3200C16-16GVK,2 x 16GB DDR4-3200MT/s F4-3200C16-16GVK
Disk,,2000GB Seagate ST2000DM006-2DM1 + 2000GB Western Digital WD20EZAZ-00G + 500GB Samsung SSD 860 + 8002GB Seagate ST8000DM004-2CX1 + 1000GB CT1000BX500SSD1 + 512GB TS512GESD310C,2000GB Seagate ST2000DM006-2DM1 + 2000GB Western Digital WD20EZAZ-00G + 500GB Samsung SSD 860 + 8002GB Seagate ST8000DM004-2CX1 + 1000GB CT1000BX500SSD1 + 512GB TS512GESD310C
Graphics,,NVIDIA GeForce RTX 3060,NVIDIA GeForce RTX 3060
Audio,,NVIDIA GA104 HD Audio,NVIDIA GA104 HD Audio
Monitor,,DELL P2314H + U32J59x,DELL P2314H + U32J59x
Network,,Realtek RTL8111/8168/8211/8411,Realtek RTL8111/8168/8211/8411
OS,,Ubuntu 24.04,Ubuntu 24.04
Kernel,,6.8.0-31-generic (x86_64),6.8.0-31-generic (x86_64)
Compiler,,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4
Screen Resolution,,1920x1080,1920x1080
,,"noble","scikit-learn-python-disabled-fp"
"Scikit-Learn - Benchmark: Isotonic / Perturbed Logarithm (sec)",LIB,1787.711,1824.299
"Scikit-Learn - Benchmark: Isotonic / Logistic (sec)",LIB,1435.273,1420.391
"Scikit-Learn - Benchmark: SAGA (sec)",LIB,873.257,863.605
"Scikit-Learn - Benchmark: Sparse Random Projections / 100 Iterations (sec)",LIB,557.985,566.951
"Scikit-Learn - Benchmark: SGDOneClassSVM (sec)",LIB,328.938,317.255
"Scikit-Learn - Benchmark: GLM (sec)",LIB,282.676,279.636
"Scikit-Learn - Benchmark: Isotonic / Pathological (sec)",LIB,,
"Scikit-Learn - Benchmark: Covertype Dataset Benchmark (sec)",LIB,375.954,375.460
"Scikit-Learn - Benchmark: Lasso (sec)",LIB,351.023,347.803
"Scikit-Learn - Benchmark: Isolation Forest (sec)",LIB,300.663,304.156
"Scikit-Learn - Benchmark: Kernel PCA Solvers / Time vs. N Samples (sec)",LIB,266.450,266.465
"Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,259.758,254.864
"Scikit-Learn - Benchmark: Plot Lasso Path (sec)",LIB,232.397,232.343
"Scikit-Learn - Benchmark: SGD Regression (sec)",LIB,83.045,80.147
"Scikit-Learn - Benchmark: Plot Hierarchical (sec)",LIB,207.115,204.131
"Scikit-Learn - Benchmark: Sparsify (sec)",LIB,130.297,129.055
"Scikit-Learn - Benchmark: Sample Without Replacement (sec)",LIB,180.105,172.819
"Scikit-Learn - Benchmark: Plot Fast KMeans (sec)",LIB,172.977,172.641
"Scikit-Learn - Benchmark: Hist Gradient Boosting Higgs Boson (sec)",LIB,61.363,61.165
"Scikit-Learn - Benchmark: Plot Polynomial Kernel Approximation (sec)",LIB,155.494,152.597
"Scikit-Learn - Benchmark: Plot Neighbors (sec)",LIB,144.444,144.301
"Scikit-Learn - Benchmark: Feature Expansions (sec)",LIB,135.121,135.641
"Scikit-Learn - Benchmark: Tree (sec)",LIB,48.325,46.295
"Scikit-Learn - Benchmark: Hist Gradient Boosting (sec)",LIB,117.089,115.39
"Scikit-Learn - Benchmark: Kernel PCA Solvers / Time vs. N Components (sec)",LIB,70.231,69.159
"Scikit-Learn - Benchmark: Hist Gradient Boosting Adult (sec)",LIB,111.830,110.399
"Scikit-Learn - Benchmark: Hist Gradient Boosting Threading (sec)",LIB,111.843,111.377
"Scikit-Learn - Benchmark: Plot Incremental PCA (sec)",LIB,102.786,101.851
"Scikit-Learn - Benchmark: Plot Singular Value Decomposition (sec)",LIB,96.614,95.658
"Scikit-Learn - Benchmark: Plot OMP vs. LARS (sec)",LIB,70.087,69.835
"Scikit-Learn - Benchmark: Plot Ward (sec)",LIB,53.990,54.227
"Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB,65.706,65.171
"Scikit-Learn - Benchmark: Text Vectorizers (sec)",LIB,65.740,63.480
"Scikit-Learn - Benchmark: LocalOutlierFactor (sec)",LIB,53.388,53.005
"Scikit-Learn - Benchmark: 20 Newsgroups / Logistic Regression (sec)",LIB,37.588,37.804
"Scikit-Learn - Benchmark: Plot Non-Negative Matrix Factorization (sec)",LIB,,
"Scikit-Learn - Benchmark: Hist Gradient Boosting Categorical Only (sec)",LIB,20.053,19.796
"Scikit-Learn - Benchmark: RCV1 Logreg Convergencet (sec)",LIB,,
"Scikit-Learn - Benchmark: Plot Parallel Pairwise (sec)",LIB,,
"Scikit-Learn - Benchmark: Glmnet (sec)",LIB,,