micro/ops/tee

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 7.0598 µs 7.0744 µs 7.0884 µs
0.9901119 0.9906679 0.9901434
Mean 7.0388 µs 7.0519 µs 7.0653 µs
Std. Dev. 58.168 ns 67.897 ns 76.703 ns
Median 7.0362 µs 7.0490 µs 7.0699 µs
MAD 48.059 ns 71.711 ns 84.248 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 -0.0361% +0.4227% +0.7911% (p = 0.03 < 0.05)
Change within noise threshold.

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.