Cython provides a superset of Python that is geared to deliver C-like levels of performance. This test profile makes use of Cython's bundled benchmark tests and runs an N-Queens sample test as a simple benchmark to the system's Cython performance.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark cython-bench.
29 September 2017
21 January 2021
Average Install Time
2 Minutes, 31 Seconds
Average Run Time
2 Minutes, 21 Seconds
* 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 25 November 2021.
pts/cython-bench-1.1.0 [View Source] Thu, 21 Jan 2021 09:52:30 GMT Update against latest Cython upstream, fixes for latest Python handling.
pts/cython-bench-1.0.0 [View Source] Fri, 29 Sep 2017 16:09:01 GMT Initial commit of the cython-bench test profile
OpenBenchmarking.org metrics for this test profile configuration based on 225 public results since 21 January 2021 with the latest data as of 28 November 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.
Based on OpenBenchmarking.org data, the selected test / test configuration (Cython Benchmark 0.29.21 - Test: N-Queens) has an average run-time of 2 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.
Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.4%.
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.