Numpy Benchmark

This is a test to obtain the general Numpy performance.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark numpy.

Project Site

github.com

Test Created

2 March 2016

Last Updated

13 November 2020

Test Maintainer

Victor Rodriguez Bahena 

Test Type

Processor

Test Dependencies

Python

Accolades

100k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsNumpy Benchmark Popularity Statisticspts/numpy2016.032016.052016.072016.092016.112017.012017.032017.052017.072017.092017.112018.012018.032018.052018.072018.092018.112019.012019.032019.052019.072019.092019.112020.012020.032020.052020.072020.092020.112021.012021.032021.052021.072021.092K4K6K8K10K
* Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly.
** Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
*** Test profile page view reporting began March 2021.
Data current as of 26 October 2021.

Revision History

pts/numpy-1.2.1   [View Source]   Fri, 13 Nov 2020 13:19:11 GMT
Enable Numpy for macOS.

pts/numpy-1.2.0   [View Source]   Tue, 14 Jan 2020 10:25:37 GMT
Use geometric mean for result per https://github.com/phoronix-test-suite/test-profiles/pull/125

pts/numpy-1.1.0   [View Source]   Fri, 10 Jan 2020 10:40:45 GMT
Updates per https://github.com/phoronix-test-suite/test-profiles/pull/116

pts/numpy-1.0.5   [View Source]   Sun, 08 Apr 2018 13:12:34 GMT
Actually numpy should be working fine now on BSD

pts/numpy-1.0.4   [View Source]   Sat, 07 Apr 2018 21:24:32 GMT
Numpy has issues on BSD.

pts/numpy-1.0.3   [View Source]   Sun, 18 Feb 2018 15:42:43 GMT
Explicitly use python2 for numpy, not python3 when python points there.

pts/numpy-1.0.2   [View Source]   Fri, 13 May 2016 13:34:32 GMT
Set TimesToRun to 1

pts/numpy-1.0.1   [View Source]   Fri, 04 Mar 2016 16:38:36 GMT
Fix results.xml

pts/numpy-1.0.0   [View Source]   Wed, 02 Mar 2016 11:33:31 GMT
Initial commit

Suites Using This Test

Machine Learning

CPU Massive

Server CPU Tests

HPC - High Performance Computing

Python

Single-Threaded


Performance Metrics

Analyze Test Configuration:

Numpy Benchmark

OpenBenchmarking.org metrics for this test profile configuration based on 1,799 public results since 14 January 2020 with the latest data as of 25 October 2021.

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
# Compatible Public Results
Score (Average)
99th
32
546 +/- 32
98th
3
538 +/- 2
96th
3
523 +/- 25
95th
24
517 +/- 20
93rd
14
504 +/- 17
92nd
6
478 +/- 5
90th
5
449 +/- 34
90th
11
447 +/- 9
89th
5
444 +/- 4
89th
19
443 +/- 35
89th
10
443 +/- 5
88th
10
440 +/- 31
87th
7
437 +/- 1
87th
4
437 +/- 27
86th
4
431 +/- 3
84th
9
425 +/- 11
82nd
3
419 +/- 1
81st
4
414 +/- 5
80th
10
410 +/- 23
80th
17
410 +/- 10
78th
18
406 +/- 45
77th
4
401 +/- 12
77th
3
401 +/- 5
Mid-Tier
75th
< 396
75th
6
396 +/- 7
73rd
10
386 +/- 14
71st
4
375 +/- 6
70th
11
371 +/- 12
69th
6
368 +/- 24
69th
12
367 +/- 26
68th
15
365 +/- 10
68th
7
365 +/- 4
67th
4
362 +/- 3
67th
3
362 +/- 7
67th
6
361 +/- 9
66th
4
356 +/- 8
64th
22
351 +/- 12
62nd
19
345 +/- 13
62nd
5
344 +/- 17
62nd
3
344 +/- 10
62nd
4
343 +/- 9
59th
5
332 +/- 14
57th
6
328 +/- 20
56th
18
325 +/- 20
55th
11
323 +/- 9
53rd
4
321 +/- 2
52nd
3
320 +/- 5
52nd
3
319 +/- 1
Median
50th
318
50th
10
318 +/- 6
50th
6
317 +/- 3
49th
4
316 +/- 3
49th
4
316 +/- 19
48th
3
315 +/- 7
46th
12
312 +/- 8
44th
5
310 +/- 12
43rd
16
309 +/- 5
43rd
8
309 +/- 4
42nd
18
307 +/- 8
41st
14
306 +/- 7
40th
7
304 +/- 11
39th
8
303 +/- 5
39th
16
303 +/- 13
38th
7
302 +/- 6
38th
13
302 +/- 5
37th
20
301 +/- 12
36th
10
300 +/- 4
35th
10
299 +/- 5
35th
7
299 +/- 6
34th
11
298 +/- 6
34th
4
297 +/- 4
33rd
11
296 +/- 6
32nd
9
295 +/- 20
32nd
8
294 +/- 6
30th
6
291 +/- 13
28th
6
290 +/- 1
28th
9
288 +/- 5
27th
3
286 +/- 10
27th
4
286 +/- 9
26th
4
284 +/- 4
26th
5
282 +/- 6
Low-Tier
25th
< 281
24th
13
278 +/- 14
22nd
7
273 +/- 37
22nd
5
272 +/- 6
22nd
5
271 +/- 7
21st
15
270 +/- 7
21st
17
269 +/- 8
20th
5
268 +/- 21
20th
5
268 +/- 2
20th
3
266 +/- 1
19th
6
264 +/- 12
17th
4
255 +/- 18
16th
4
251 +/- 3
16th
4
248 +/- 11
13th
4
222 +/- 6
13th
12
219 +/- 5
12th
3
214 +/- 22
12th
3
213 +/- 22
12th
5
207 +/- 2
11th
5
200 +/- 10
11th
4
198 +/- 3
10th
4
193 +/- 11
9th
4
166 +/- 2
7th
9
131 +/- 5
4th
4
34 +/- 1
OpenBenchmarking.orgDistribution Of Public Results1799 Results Range From 7 To 638 Score732578210713215718220723225728230733235738240743245748250753255758260763265770140210280350

Based on OpenBenchmarking.org data, the selected test / test configuration (Numpy Benchmark) has an average run-time of 16 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-Time20406080100Min: 1 / Avg: 15.05 / Max: 129

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

Does It Scale Well With Increasing Cores?

No, based on the automated analysis of the collected public benchmark data, this test / test settings does not generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.

IntelAMDOpenBenchmarking.orgRelative Core Scaling To BaseNumpy Benchmark CPU Core Scaling24681216182024324856641280.78961.57922.36883.15843.948

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