AsyncM - Use Cases/data_processing_pipeline
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 78.035 ns | 78.223 ns | 78.549 ns |
| R² | 0.9761832 | 0.9769592 | 0.9746211 |
| Mean | 78.030 ns | 78.234 ns | 78.533 ns |
| Std. Dev. | 199.55 ps | 1.3235 ns | 2.1224 ns |
| Median | 77.976 ns | 78.010 ns | 78.060 ns |
| MAD | 108.12 ps | 135.94 ps | 162.70 ps |
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.