dict_encoder_int32::allocs/128

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 245876.4914 allocations 262349.0213 allocations 284134.0556 allocations
Throughput 554.9493 allocations/byte 512.4004 allocations/byte 480.2275 allocations/byte
0.0000000 0.0000000 0.0000000
Mean 575764.4672 allocations 911591.3497 allocations 1364832.3251 allocations
Std. Dev. 696360.6183 allocations 2064029.6939 allocations 3231637.9250 allocations
Median 292932.1237 allocations 348051.3059 allocations 428889.0026 allocations
MAD 139452.4116 allocations 211172.9136 allocations 315596.2130 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 +69.569% +223.96% +490.72% (p = 0.00 < 0.05)
Change in throughput -41.027% -69.132% -83.072%
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.