iteration-archetypes-2/legion-warm/1

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 32.288 ns 33.033 ns 33.949 ns
0.9215419 0.9340550 0.9152561
Mean 32.770 ns 33.462 ns 34.180 ns
Std. Dev. 1.4964 ns 1.8389 ns 2.0049 ns
Median 32.059 ns 32.532 ns 35.427 ns
MAD 478.07 ps 1.2506 ns 2.6657 ns

Additional Plots:

Understanding this report:

The plot on the left displays the average time per iteration for this benchmark. The shaded region shows the estimated probabilty of an iteration taking a certain amount of time, while the line shows the mean. Click on the plot for a larger view showing the outliers.

The plot on the right shows the linear regression calculated from the measurements. Each point represents a sample, though here it shows the total time for the sample rather than time per iteration. The line is the line of best fit for these measurements.

See the documentation for more details on the additional statistics.

Change Since Previous Benchmark

Additional Statistics:

Lower bound Estimate Upper bound
Change in time +2.1471% +4.4059% +6.9721% (p = 0.00 < 0.05)
Performance has regressed.

Understanding this report:

The plot on the left shows the probability of the function taking a certain amount of time. The red curve represents the saved measurements from the last time this benchmark was run, while the blue curve shows the measurements from this run. The lines represent the mean time per iteration. Click on the plot for a larger view.

The plot on the right shows the two regressions. Again, the red line represents the previous measurement while the blue line shows the current measurement.

See the documentation for more details on the additional statistics.