scalar matrix2 return self/cgmath

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 2.8703 ns 2.8712 ns 2.8723 ns
0.9996871 0.9997014 0.9996828
Mean 2.8703 ns 2.8714 ns 2.8725 ns
Std. Dev. 4.6983 ps 5.7258 ps 6.6045 ps
Median 2.8693 ns 2.8700 ns 2.8709 ns
MAD 3.0667 ps 4.9146 ps 5.7931 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.