hashes (RandomX)/optimized (calculate_hash, input.len() = 8)
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 70.681 ms | 70.692 ms | 70.702 ms |
| R² | 0.9998274 | 0.9998308 | 0.9998280 |
| Mean | 70.605 ms | 70.658 ms | 70.695 ms |
| Std. Dev. | 74.700 µs | 236.84 µs | 381.06 µs |
| Median | 70.689 ms | 70.701 ms | 70.710 ms |
| MAD | 38.317 µs | 50.505 µs | 61.997 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.