micro/ops/sort

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 82.591 µs 82.686 µs 82.802 µs
0.9904568 0.9906398 0.9903700
Mean 83.187 µs 83.411 µs 83.640 µs
Std. Dev. 1.0394 µs 1.1654 µs 1.3025 µs
Median 82.573 µs 82.777 µs 84.095 µs
MAD 579.12 ns 1.1555 µs 1.8499 µs

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 -1.7703% -1.2379% -0.7131% (p = 0.00 < 0.05)
Change within noise threshold.

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.