matrix apply_axis (100x100)
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 7.1585 µs | 7.1774 µs | 7.2023 µs |
| R² | 0.9715098 | 0.9724148 | 0.9708531 |
| Mean | 7.1954 µs | 7.2431 µs | 7.3039 µs |
| Std. Dev. | 123.80 ns | 281.27 ns | 421.19 ns |
| Median | 7.1399 µs | 7.1515 µs | 7.1669 µs |
| MAD | 27.710 ns | 44.443 ns | 62.880 ns |
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.