decompress_brotli::branch_misses/int32

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 555.3843 branch misses 560.0994 branch misses 564.6625 branch misses
Throughput 0.0138 branch misses/byte 0.0137 branch misses/byte 0.0136 branch misses/byte
0.8329347 0.8395541 0.8333513
Mean 549.8872 branch misses 579.0003 branch misses 618.6249 branch misses
Std. Dev. 53.2442 branch misses 177.5560 branch misses 284.3037 branch misses
Median 556.1222 branch misses 563.0462 branch misses 567.0000 branch misses
MAD 23.8710 branch misses 32.1504 branch misses 41.4147 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 -92.766% -92.264% -91.645% (p = 0.00 < 0.05)
Change in throughput +1282.3% +1192.6% +1096.9%
Performance has improved.

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.