hashes (RandomX)/optimized (calculate_hash, input.len() = 64)
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 70.744 ms | 70.786 ms | 70.824 ms |
| R² | 0.9992428 | 0.9992919 | 0.9992513 |
| Mean | 70.662 ms | 70.732 ms | 70.790 ms |
| Std. Dev. | 150.29 µs | 330.93 µs | 466.26 µs |
| Median | 70.812 ms | 70.838 ms | 70.850 ms |
| MAD | 41.618 µs | 60.039 µs | 92.489 µs |
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.