compress_lz4::stalled_be_cycles/int64
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Additional Statistics:
| Lower bound | Estimate | Upper bound | |
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| Slope | 262655.3126 stalled_be_cycles | 266586.9367 stalled_be_cycles | 270138.5198 stalled_be_cycles |
| Throughput | 0.7396 stalled_be_cycles/byte | 0.7299 stalled_be_cycles/byte | 0.7191 stalled_be_cycles/byte |
| R² | 0.3134576 | 0.3161600 | 0.3139513 |
| Mean | 201703.0594 stalled_be_cycles | 219579.0387 stalled_be_cycles | 236818.2633 stalled_be_cycles |
| Std. Dev. | 81691.3789 stalled_be_cycles | 90608.9649 stalled_be_cycles | 96409.8935 stalled_be_cycles |
| Median | 263707.8333 stalled_be_cycles | 267321.2094 stalled_be_cycles | 273043.9035 stalled_be_cycles |
| MAD | 18097.4260 stalled_be_cycles | 38604.4256 stalled_be_cycles | 55547.3917 stalled_be_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 | +413.70% | +497.19% | +596.58% | (p = 0.00 < 0.05) |
| Change in throughput | -80.533% | -83.255% | -85.644% |
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.