matrix2 inverse/cgmath

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 3.0749 ns 3.0942 ns 3.1148 ns
0.9117701 0.9162422 0.9110751
Mean 3.0730 ns 3.0918 ns 3.1116 ns
Std. Dev. 80.219 ps 99.248 ps 118.77 ps
Median 3.0579 ns 3.0818 ns 3.1079 ns
MAD 66.507 ps 80.803 ps 108.17 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.