decompress_lz4::reallocs/binary

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 1898.4579 reallocations 2026.2680 reallocations 2192.4046 reallocations
Throughput 0.1639 reallocations/byte 0.1514 reallocations/byte 0.1419 reallocations/byte
0.0000000 0.0000000 0.0000000
Mean 4462.3159 reallocations 7041.9119 reallocations 10574.4895 reallocations
Std. Dev. 5413.3783 reallocations 15944.9420 reallocations 24994.8921 reallocations
Median 2262.6399 reallocations 2688.5115 reallocations 3313.0599 reallocations
MAD 1075.8619 reallocations 1631.7163 reallocations 2438.4384 reallocations

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 +461.19% +957.60% +1817.8% (p = 0.00 < 0.05)
Change in throughput -82.181% -90.545% -94.786%
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.