dict_encoder_int32::stalled_be_cycles/16

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 71.1141 stalled_be_cycles 71.4227 stalled_be_cycles 71.7369 stalled_be_cycles
Throughput 1.1209 stalled_be_cycles/byte 1.1160 stalled_be_cycles/byte 1.1112 stalled_be_cycles/byte
0.9366549 0.9390787 0.9365676
Mean 68.8356 stalled_be_cycles 70.8588 stalled_be_cycles 72.5064 stalled_be_cycles
Std. Dev. 4.0836 stalled_be_cycles 9.3661 stalled_be_cycles 14.3247 stalled_be_cycles
Median 70.8924 stalled_be_cycles 71.2980 stalled_be_cycles 71.7314 stalled_be_cycles
MAD 1.3988 stalled_be_cycles 1.9377 stalled_be_cycles 2.5994 stalled_be_cycles

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 -3.1618% +4.5933% +10.310% (p = 0.20 > 0.05)
Change in throughput +3.2650% -4.3916% -9.3464%
No change in performance detected.

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.