dict_encoder_int96::allocs/128

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 296808.8211 allocations 316740.3446 allocations 342739.9334 allocations
Throughput 167.3535 allocations/byte 154.6584 allocations/byte 144.9262 allocations/byte
0.0000000 0.0000000 0.0000000
Mean 698107.8282 allocations 1100630.7293 allocations 1653072.2796 allocations
Std. Dev. 844309.9453 allocations 2492080.6734 allocations 3907916.5746 allocations
Median 353669.1014 allocations 420221.1264 allocations 517517.2704 allocations
MAD 167929.3186 allocations 254977.6974 allocations 381178.1932 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 +57.482% +191.28% +427.08% (p = 0.00 < 0.05)
Change in throughput -36.501% -65.669% -81.028%
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.