decompress_zstd::allocs/int64

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 842769.9824 allocations 899597.6791 allocations 973265.2254 allocations
Throughput 2.6646 allocations/byte 2.4629 allocations/byte 2.3073 allocations/byte
0.0000000 0.0000000 0.0000000
Mean 1979840.7698 allocations 3126482.1528 allocations 4693219.1471 allocations
Std. Dev. 2408829.1431 allocations 7079377.8447 allocations 11092342.3629 allocations
Median 1004538.5417 allocations 1193617.5642 allocations 1470032.5366 allocations
MAD 477540.4719 allocations 724445.9877 allocations 1079352.7883 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 +121.98% +304.79% +656.93% (p = 0.00 < 0.05)
Change in throughput -54.952% -75.296% -86.789%
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.