matrix apply_axis (100x100)
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 5.4685 µs | 5.4712 µs | 5.4754 µs |
| R² | 0.9984173 | 0.9984523 | 0.9983710 |
| Mean | 5.4678 µs | 5.4704 µs | 5.4748 µs |
| Std. Dev. | 4.0816 ns | 19.417 ns | 32.547 ns |
| Median | 5.4659 µs | 5.4668 µs | 5.4684 µs |
| MAD | 2.1004 ns | 3.1939 ns | 4.7432 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.