Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed.


Scikit-Learn 1.2.2

Benchmark: 20 Newsgroups / Logistic Regression

OpenBenchmarking.org metrics for this test profile configuration based on 48 public results since 10 May 2023 with the latest data as of 15 December 2024.

Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.

Component
Details
Percentile Rank
# Compatible Public Results
Seconds (Average)
Zen 4 [16 Cores / 32 Threads]
86th
4
25 +/- 1
Zen 4 [16 Cores / 32 Threads]
80th
4
29
Mid-Tier
75th
> 29
Zen 4 [8 Cores / 16 Threads]
69th
3
35
Zen 2 [12 Cores / 24 Threads]
55th
5
40 +/- 2
Median
50th
42
Zen 3 [8 Cores / 16 Threads]
42nd
3
42
Low-Tier
25th
> 54
Tiger Lake [4 Cores / 8 Threads]
19th
3
57 +/- 1