decompress_snappy::allocs/double

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 5201.3646 allocations 5551.4245 allocations 6010.0123 allocations
Throughput 0.0740 allocations/byte 0.0683 allocations/byte 0.0640 allocations/byte
0.0000000 0.0000000 0.0000000
Mean 12197.3085 allocations 19294.1934 allocations 28953.6376 allocations
Std. Dev. 14664.1022 allocations 43688.7532 allocations 68320.5261 allocations
Median 6199.0897 allocations 7365.9756 allocations 9077.2346 allocations
MAD 2947.1599 allocations 4470.9076 allocations 6691.4606 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 +24.050% +129.61% +322.49% (p = 0.01 < 0.05)
Change in throughput -19.387% -56.447% -76.331%
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.