micro/ops/next_tick/big

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 68.964 µs 69.525 µs 70.211 µs
0.9108850 0.9160995 0.9083122
Mean 68.102 µs 68.719 µs 69.273 µs
Std. Dev. 1.8299 µs 2.9917 µs 4.1768 µs
Median 68.487 µs 68.585 µs 68.707 µs
MAD 352.93 ns 506.36 ns 813.29 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 -2.8669% -1.6810% -0.4906% (p = 0.01 < 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.