tokenize/132/Latin/Eng

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 9.8699 µs 9.8799 µs 9.8955 µs
0.9948945 0.9950375 0.9946921
Mean 9.8674 µs 9.8753 µs 9.8875 µs
Std. Dev. 15.288 ns 53.932 ns 89.040 ns
Median 9.8640 µs 9.8701 µs 9.8727 µs
MAD 11.980 ns 16.413 ns 19.011 ns

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 probability 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 +28.595% +28.731% +28.918% (p = 0.00 < 0.05)
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.