decompress_brotli::stalled_fe_cycles/boolean
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
|---|---|---|---|
| Slope | 6747.4683 stalled_fe_cycles | 6813.8765 stalled_fe_cycles | 6873.3292 stalled_fe_cycles |
| Throughput | 429.5831 stalled_fe_cycles/byte | 425.8673 stalled_fe_cycles/byte | 421.7168 stalled_fe_cycles/byte |
| R² | 0.7543357 | 0.7614095 | 0.7557294 |
| Mean | 6346.2681 stalled_fe_cycles | 6646.2787 stalled_fe_cycles | 6952.4026 stalled_fe_cycles |
| Std. Dev. | 824.0720 stalled_fe_cycles | 1539.9364 stalled_fe_cycles | 2142.0342 stalled_fe_cycles |
| Median | 6669.2570 stalled_fe_cycles | 6819.6302 stalled_fe_cycles | 6918.9481 stalled_fe_cycles |
| MAD | 327.6946 stalled_fe_cycles | 423.5164 stalled_fe_cycles | 565.2534 stalled_fe_cycles |
Understanding this report:
The plot on the left displays the average time per iteration for this benchmark. The shaded region shows the estimated probabilty 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.
Change Since Previous Benchmark
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Additional Statistics:
| Lower bound | Estimate | Upper bound | ||
|---|---|---|---|---|
| Change in time | -10.487% | -3.0993% | +4.5846% | (p = 0.44 > 0.05) |
| Change in throughput | +11.715% | +3.1984% | -4.3836% |
Additional Plots:
Understanding this report:
The plot on the left shows the probability of the function taking a certain amount of time. The red curve represents the saved measurements from the last time this benchmark was run, while the blue curve shows the measurements from this run. The lines represent the mean time per iteration. Click on the plot for a larger view.
The plot on the right shows the two regressions. Again, the red line represents the previous measurement while the blue line shows the current measurement.
See the documentation for more details on the additional statistics.