Results for project Python default, build date 2016-03-28 02:12:39 +0000 commit: a90f5e2b7160 previous commit: 710a8002f58a revision date: 2016-03-27 21:45:28 +0000 environment: Haswell-EP cpu: Intel(R) Xeon(R) CPU E5-2699 v3 @ 2.30GHz 2x18 cores, stepping 2, LLC 45 MB mem: 128 GB os: CentOS 7.1 kernel: Linux 3.10.0-229.4.2.el7.x86_64 Baseline results were generated using release v3.4.3, with hash b4cbecbc0781 from 2015-02-25 12:15:33+00:00 ---------------------------------------------------------------------------------- benchmark relative change since change since current rev run std_dev* last run baseline with PGO ---------------------------------------------------------------------------------- :-) django_v2 0.26% 3.38% 9.48% 12.98% :-| pybench 0.12% 0.89% 0.78% 5.00% :-( regex_v8 2.80% -0.18% -3.41% 4.12% :-) nbody 0.14% 3.74% 0.20% 8.16% :-| json_dump_v2 0.15% 1.59% -0.94% 10.02% :-| normal_startup 0.80% -0.01% -0.34% 4.81% ---------------------------------------------------------------------------------- * Relative Standard Deviation (Standard Deviation/Average) If this is not displayed properly please visit our results page here: http://languagesperformance.intel.com/good-benchmark-results-for-python-defa... Note: Benchmark results are measured in seconds. Subject Label Legend: Attributes are determined based on the performance evolution of the workloads compared to the previous measurement iteration. NEUTRAL: performance did not change by more than 1% for any workload GOOD: performance improved by more than 1% for at least one workload and there is no regression greater than 1% BAD: performance dropped by more than 1% for at least one workload and there is no improvement greater than 1% UGLY: performance improved by more than 1% for at least one workload and also dropped by more than 1% for at least one workload Our lab does a nightly source pull and build of the Python project and measures performance changes against the previous stable version and the previous nightly measurement. This is provided as a service to the community so that quality issues with current hardware can be identified quickly. Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.