matrix sum_horizontal (100x100)
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 29.106 µs | 29.166 µs | 29.245 µs |
| R² | 0.9834952 | 0.9840652 | 0.9830904 |
| Mean | 29.119 µs | 29.236 µs | 29.417 µs |
| Std. Dev. | 193.11 ns | 789.60 ns | 1.2951 µs |
| Median | 29.034 µs | 29.060 µs | 29.091 µs |
| MAD | 70.559 ns | 99.348 ns | 143.01 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.