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: GLM (sec)",LIB,282.676,279.636
"Scikit-Learn - Benchmark: SAGA (sec)",LIB,873.257,863.605
"Scikit-Learn - Benchmark: Tree (sec)",LIB,48.325,46.295
"Scikit-Learn - Benchmark: Lasso (sec)",LIB,351.023,347.803
"Scikit-Learn - Benchmark: Glmnet (sec)",LIB,,
"Scikit-Learn - Benchmark: Sparsify (sec)",LIB,130.297,129.055
"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: Plot Neighbors (sec)",LIB,144.444,144.301
"Scikit-Learn - Benchmark: SGD Regression (sec)",LIB,83.045,80.147
"Scikit-Learn - Benchmark: SGDOneClassSVM (sec)",LIB,328.938,317.255
"Scikit-Learn - Benchmark: Plot Lasso Path (sec)",LIB,232.397,232.343
"Scikit-Learn - Benchmark: Isolation Forest (sec)",LIB,300.663,304.156
"Scikit-Learn - Benchmark: Plot Fast KMeans (sec)",LIB,172.977,172.641
"Scikit-Learn - Benchmark: Text Vectorizers (sec)",LIB,65.740,63.480
"Scikit-Learn - Benchmark: Plot Hierarchical (sec)",LIB,207.115,204.131
"Scikit-Learn - Benchmark: Plot OMP vs. LARS (sec)",LIB,70.087,69.835
"Scikit-Learn - Benchmark: Feature Expansions (sec)",LIB,135.121,135.641
"Scikit-Learn - Benchmark: LocalOutlierFactor (sec)",LIB,53.388,53.005
"Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,259.758,254.864
"Scikit-Learn - Benchmark: Isotonic / Logistic (sec)",LIB,1435.273,1420.391
"Scikit-Learn - Benchmark: Plot Incremental PCA (sec)",LIB,102.786,101.851
"Scikit-Learn - Benchmark: Hist Gradient Boosting (sec)",LIB,117.089,115.39
"Scikit-Learn - Benchmark: Plot Parallel Pairwise (sec)",LIB,,
"Scikit-Learn - Benchmark: Isotonic / Pathological (sec)",LIB,,
"Scikit-Learn - Benchmark: RCV1 Logreg Convergencet (sec)",LIB,,
"Scikit-Learn - Benchmark: Sample Without Replacement (sec)",LIB,180.105,172.819
"Scikit-Learn - Benchmark: Covertype Dataset Benchmark (sec)",LIB,375.954,375.460
"Scikit-Learn - Benchmark: Hist Gradient Boosting Adult (sec)",LIB,111.830,110.399
"Scikit-Learn - Benchmark: Isotonic / Perturbed Logarithm (sec)",LIB,1787.711,1824.299
"Scikit-Learn - Benchmark: Hist Gradient Boosting Threading (sec)",LIB,111.843,111.377
"Scikit-Learn - Benchmark: Plot Singular Value Decomposition (sec)",LIB,96.614,95.658
"Scikit-Learn - Benchmark: Hist Gradient Boosting Higgs Boson (sec)",LIB,61.363,61.165
"Scikit-Learn - Benchmark: 20 Newsgroups / Logistic Regression (sec)",LIB,37.588,37.804
"Scikit-Learn - Benchmark: Plot Polynomial Kernel Approximation (sec)",LIB,155.494,152.597
"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: Kernel PCA Solvers / Time vs. N Samples (sec)",LIB,266.450,266.465
"Scikit-Learn - Benchmark: Kernel PCA Solvers / Time vs. N Components (sec)",LIB,70.231,69.159
"Scikit-Learn - Benchmark: Sparse Random Projections / 100 Iterations (sec)",LIB,557.985,566.951