Numpy Benchmark

This is a test to obtain the general Numpy performance.

Learn more about this test at the upstream project site: http://github.com/serge-sans-paille/.

This utility test profile is maintained by Victor Rodriguez Bahena. This OpenBenchmarking.org test profile was created on 2 March 2016 and last updated on 14 January 2020. To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark numpy.

90k+ Downloads

Installation StatsTest Completion StatsOpenBenchmarking.orgEventsNumpy Benchmark Popularitypts/numpy2016.032016.052016.072016.092016.112017.012017.032017.052017.072017.092017.112018.012018.032018.052018.072018.092018.112019.012019.032019.052019.072019.092019.112020.012020.032020.052020.072020.0960120180240300

* Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting.

Revision History

pts/numpy-1.2.0   [View Source]   14 Jan 2020 10:25 EST
Use geometric mean for result per https://github.com/phoronix-test-suite/test-profiles/pull/125

pts/numpy-1.1.0   [View Source]   10 Jan 2020 10:40 EST
Updates per https://github.com/phoronix-test-suite/test-profiles/pull/116

pts/numpy-1.0.5   [View Source]   08 Apr 2018 13:12 EDT
Actually numpy should be working fine now on BSD

pts/numpy-1.0.4   [View Source]   07 Apr 2018 21:24 EDT
Numpy has issues on BSD.

pts/numpy-1.0.3   [View Source]   18 Feb 2018 15:42 EST
Explicitly use python2 for numpy, not python3 when python points there.

pts/numpy-1.0.2   [View Source]   13 May 2016 13:34 EDT
Set TimesToRun to 1

pts/numpy-1.0.1   [View Source]   04 Mar 2016 16:38 EST
Fix results.xml

pts/numpy-1.0.0   [View Source]   02 Mar 2016 11:33 EST
Initial commit

Suites Using This Test

Machine Learning

CPU Massive

Server CPU Tests

Python

Single-Threaded

Performance Metrics

Analyze Test Configuration:

Numpy Benchmark

OpenBenchmarking.org metrics for this test profile configuration based on 650 public samples since 14 January 2020 with the latest data as of 18 October 2020.

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
Percentile Rank
Score (Average)
Mid-Tier
75th
< 363
Median
50th
316
Low-Tier
25th
< 282
2nd
34
OpenBenchmarking.orgDistribution Of Public Results650 Results Range From 19 To 477 Score19406182103124145166187208229250271292313334355376397418439460481306090120150

Based on OpenBenchmarking.org data, the selected test / test configuration (Numpy Benchmark) has an average run-time of 14 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkRun-Time1224364860Min: 4 / Avg: 13.34 / Max: 59

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.2%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsDeviation246810Min: 0 / Avg: 0.18 / Max: 2

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