micro/ops/identity

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 6.6857 µs 6.6950 µs 6.7051 µs
0.9954725 0.9957401 0.9954300
Mean 6.6832 µs 6.6914 µs 6.6998 µs
Std. Dev. 35.652 ns 42.557 ns 48.974 ns
Median 6.6790 µs 6.6910 µs 6.6966 µs
MAD 26.298 ns 36.220 ns 47.429 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 -4.2700% -2.3169% -0.9549% (p = 0.00 < 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.