decompress_brotli::allocs/int96

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 237728.0899 allocations 253594.5112 allocations 274408.4026 allocations
Throughput 212.5549 allocations/byte 196.4326 allocations/byte 184.1426 allocations/byte
0.0000001 0.0000001 0.0000001
Mean 557623.1178 allocations 880522.2409 allocations 1324492.1587 allocations
Std. Dev. 674755.3518 allocations 1993286.2237 allocations 3131607.3676 allocations
Median 283083.3750 allocations 336285.6809 allocations 414325.5402 allocations
MAD 133970.2308 allocations 203781.9524 allocations 304780.5649 allocations

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 -91.997% -86.813% -80.076% (p = 0.00 < 0.05)
Change in throughput +1149.5% +658.32% +401.90%
Performance has improved.

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.