scalar matrix4 return self/cgmath
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 6.8808 ns | 6.8838 ns | 6.8879 ns |
| R² | 0.9991487 | 0.9991760 | 0.9991277 |
| Mean | 6.8994 ns | 6.9160 ns | 6.9387 ns |
| Std. Dev. | 38.888 ps | 101.96 ps | 158.90 ps |
| Median | 6.8836 ns | 6.8882 ns | 6.8918 ns |
| MAD | 10.557 ps | 14.553 ps | 21.418 ps |
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.