iteration-archetypes-16/legion-warm/100

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 1.1108 ns 1.1134 ns 1.1165 ns
0.9988457 0.9990481 0.9987286
Mean 1.1113 ns 1.1139 ns 1.1166 ns
Std. Dev. 4.8525 ps 6.9259 ps 8.5199 ps
Median 1.1108 ns 1.1134 ns 1.1165 ns
MAD 2.8442 ps 5.0023 ps 9.5248 ps

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 +13.179% +16.271% +19.098% (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.