decompress_brotli::branch_misses/float

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 7634.6605 branch misses 7663.8609 branch misses 7693.4447 branch misses
Throughput 0.1923 branch misses/byte 0.1916 branch misses/byte 0.1909 branch misses/byte
0.9437577 0.9455235 0.9437111
Mean 7371.6577 branch misses 7650.5552 branch misses 7941.7404 branch misses
Std. Dev. 441.1247 branch misses 1437.0924 branch misses 2143.0661 branch misses
Median 7608.7791 branch misses 7679.1584 branch misses 7719.2333 branch misses
MAD 158.2381 branch misses 200.8961 branch misses 248.1973 branch misses

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 +1093.1% +1195.8% +1290.9% (p = 0.00 < 0.05)
Change in throughput -91.619% -92.283% -92.810%
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.