matrix sum_horizontal (100x100)
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 18.746 µs | 18.751 µs | 18.759 µs |
| R² | 0.9971900 | 0.9972011 | 0.9971769 |
| Mean | 18.748 µs | 18.811 µs | 18.910 µs |
| Std. Dev. | 15.625 ns | 442.48 ns | 716.60 ns |
| Median | 18.742 µs | 18.744 µs | 18.746 µs |
| MAD | 7.0919 ns | 9.9285 ns | 13.203 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.