Results for project python_default-nightly, build date 2015-10-02 03:02:00
commit: c98cc9f7e2c51bb4c5469754b5a8896c7c6520e1
revision date: 2015-10-01 22:20:11 +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
b4cbecbc0781e89a309d03b60a1f75f8499250e6 from 2015-02-25 12:15:33+00:00
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benchmark relative change since change since current rev with
std_dev* last run v3.4.3 regrtest PGO
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:-) django_v2 0.48178% -1.74654% 7.03348% 17.29170%
:-| pybench 0.15028% 0.09730% -1.62936% 8.80656%
:-( regex_v8 2.74047% -0.00311% -3.98793% 6.26954%
:-| nbody 0.48580% -0.20683% -0.07502% 10.24049%
:-| json_dump_v2 0.27845% 0.17579% -0.89919% 11.38912%
:-| normal_startup 0.65205% 0.02698% 0.25297% 4.87967%
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Note: Benchmark results are measured in seconds.
* Relative Standard Deviation (Standard Deviation/Average)
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.
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