in_sine/simple_easing2

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 27.778 µs 27.853 µs 27.931 µs
0.8373215 0.8408141 0.8369248
Mean 27.709 µs 27.761 µs 27.824 µs
Std. Dev. 323.95 ns 500.42 ns 734.70 ns
Median 27.581 µs 27.592 µs 27.606 µs
MAD 64.584 ns 76.851 ns 94.989 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 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 +0.7246% +0.9490% +1.1904% (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.