matrix apply_axis (1x1)
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 19.574 ns | 19.616 ns | 19.674 ns |
| R² | 0.7416757 | 0.7434009 | 0.7401826 |
| Mean | 19.584 ns | 19.621 ns | 19.666 ns |
| Std. Dev. | 273.48 ps | 472.89 ps | 643.22 ps |
| Median | 19.520 ns | 19.531 ns | 19.533 ns |
| MAD | 22.180 ps | 35.833 ps | 39.202 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.