dict_decoder_int32::allocs/8

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 32981.0343 allocations 35214.7095 allocations 38116.3292 allocations
Throughput 1191.1353 allocations/byte 1100.4597 allocations/byte 1030.6573 allocations/byte
0.0000000 0.0000000 0.0000000
Mean 77529.8441 allocations 122390.2348 allocations 184361.1325 allocations
Std. Dev. 94100.9425 allocations 277134.1084 allocations 435936.6082 allocations
Median 39323.0923 allocations 46725.0861 allocations 57545.9887 allocations
MAD 18646.4319 allocations 28360.6399 allocations 42372.3364 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 +48.162% +163.92% +398.22% (p = 0.00 < 0.05)
Change in throughput -32.507% -62.109% -79.928%
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.