logs-inserts/Roots/1000x1-sequential

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 26.691 us 26.885 us 27.073 us
0.8797402 0.8856555 0.8800374
Mean 25.481 us 25.828 us 26.153 us
Std. Dev. 1.3896 us 1.7242 us 2.0236 us
Median 26.114 us 26.264 us 26.395 us
MAD 744.40 ns 1.1626 us 1.8114 us

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 probability 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 +1.5206% +3.4563% +5.2252% (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.