iteration-saturation-huge-reorder/legion-cold/64

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 30.647 ns 31.212 ns 31.697 ns
0.9538638 0.9640853 0.9565131
Mean 30.768 ns 31.389 ns 32.113 ns
Std. Dev. 1.0031 ns 1.7644 ns 2.4715 ns
Median 30.509 ns 31.245 ns 32.036 ns
MAD 778.64 ps 1.3820 ns 2.0956 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 +4.2607% +7.0197% +9.9471% (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.