Base64 encoding/base64_encode_MSG_20B_RANDOM (History)

PDF of Slope Regression

Additional Statistics:

Lower bound Estimate Upper bound
Slope 51.603 ns 51.619 ns 51.644 ns
0.9997589 0.9997717 0.9997407
Mean 51.600 ns 51.614 ns 51.634 ns
Std. Dev. 24.111 ps 88.272 ps 141.79 ps
Median 51.590 ns 51.596 ns 51.604 ns
MAD 14.770 ps 22.086 ps 28.600 ps

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 -0.5459% -0.5139% -0.4746% (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.