scalar matrix4 return self/cgmath
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 7.1293 ns | 7.1310 ns | 7.1329 ns |
| R² | 0.9996974 | 0.9997051 | 0.9996945 |
| Mean | 7.1480 ns | 7.1655 ns | 7.1892 ns |
| Std. Dev. | 40.071 ps | 106.64 ps | 165.92 ps |
| Median | 7.1317 ns | 7.1359 ns | 7.1417 ns |
| MAD | 8.5734 ps | 13.087 ps | 20.471 ps |
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.