iteration-saturation-small-dataset/specs-cold-densevecmap/64

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 79.899 ns 86.303 ns 97.862 ns
0.2667353 0.2882452 0.2282529
Mean 79.740 ns 83.778 ns 90.539 ns
Std. Dev. 2.3332 ns 15.626 ns 25.792 ns
Median 79.821 ns 81.131 ns 82.415 ns
MAD 1.2743 ns 2.6669 ns 4.3744 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 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 +2.5344% +8.1528% +17.644% (p = 0.04 < 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.