criterion performance measurements

overview

want to understand this report?

getBlocksTotal 100 blocks

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 4.0707382655544744e-2 4.0870517856878515e-2 4.106310288676824e-2
Standard deviation 2.3081280481509824e-4 3.4041617153244457e-4 4.713121238850454e-4

Outlying measurements have slight (6.222222222222209e-2%) effect on estimated standard deviation.

getBlocksTotal 1000 blocks

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 4.0690501867404465e-2 4.0974450392677886e-2 4.1357911092951616e-2
Standard deviation 5.016611910713502e-4 6.561864959096498e-4 9.253124953185732e-4

Outlying measurements have slight (6.222222222222221e-2%) effect on estimated standard deviation.

getBlocksTotal 10000 blocks

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 4.032104649931049e-2 4.1015698880834846e-2 4.147408458525265e-2
Standard deviation 6.593451900748854e-4 1.1491069312413785e-3 1.890844041236483e-3

Outlying measurements have slight (6.222222222222222e-2%) effect on estimated standard deviation.

getBlocksPage 100 blocks

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 4.0795791454682914e-2 4.154465370592382e-2 4.200401333243813e-2
Standard deviation 7.399690294178367e-4 1.229834719247322e-3 1.9779833532510803e-3

Outlying measurements have slight (6.222222222222223e-2%) effect on estimated standard deviation.

getBlocksPage 1000 blocks

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 3.9859289420805015e-2 4.048088950875454e-2 4.0934270284247086e-2
Standard deviation 7.222173599337528e-4 1.0364589159740343e-3 1.4492934448243568e-3

Outlying measurements have slight (6.222222222222223e-2%) effect on estimated standard deviation.

getBlocksPage 10000 blocks

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 3.906735970391084e-2 3.947517976248855e-2 4.040604552895173e-2
Standard deviation 2.008083367055803e-4 1.1182607007667249e-3 1.7895949195648002e-3

Outlying measurements have slight (6.2222222222222234e-2%) effect on estimated standard deviation.

understanding this report

In this report, each function benchmarked by criterion is assigned a section of its own. The charts in each section are active; if you hover your mouse over data points and annotations, you will see more details.

Under the charts is a small table. The first two rows are the results of a linear regression run on the measurements displayed in the right-hand chart.

We use a statistical technique called the bootstrap to provide confidence intervals on our estimates. The bootstrap-derived upper and lower bounds on estimates let you see how accurate we believe those estimates to be. (Hover the mouse over the table headers to see the confidence levels.)

A noisy benchmarking environment can cause some or many measurements to fall far from the mean. These outlying measurements can have a significant inflationary effect on the estimate of the standard deviation. We calculate and display an estimate of the extent to which the standard deviation has been inflated by outliers.