compress_brotli::reallocs/float

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 3664.1726 reallocations 3911.7866 reallocations 4235.5042 reallocations
Throughput 0.1059 reallocations/byte 0.0978 reallocations/byte 0.0916 reallocations/byte
0.0000000 0.0000000 0.0000000
Mean 8568.9640 reallocations 13587.5515 reallocations 20422.2758 reallocations
Std. Dev. 10328.4078 reallocations 30760.5208 reallocations 48306.0281 reallocations
Median 4367.6750 reallocations 5189.1668 reallocations 6393.8991 reallocations
MAD 2079.3531 reallocations 3147.4090 reallocations 4719.5400 reallocations

Additional Plots:

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

Additional Statistics:

Lower bound Estimate Upper bound
Change in time +13412% +24795% +44169% (p = 0.00 < 0.05)
Change in throughput -99.260% -99.598% -99.774%
Performance has regressed.

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.