criterion performance measurements

overview

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.6945447807956394 0.6958670445819131 0.696443534191764
Standard deviation 0.0 1.1729300854895685e-3 1.2917187645368968e-3

Outlying measurements have moderate (0.1875%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.6003688477891095 0.6130005049885668 0.6202969779162886
Standard deviation 0.0 1.13280202324006e-2 1.263786182686494e-2

Outlying measurements have moderate (0.1875%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.6399668437564033 0.6465790182401586 0.6498700256997139
Standard deviation 0.0 5.7264897757030525e-3 5.752430026336491e-3

Outlying measurements have moderate (0.18749999999999997%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.5704915041423265 0.570886766685908 0.5711227560022452
Standard deviation 0.0 3.6113212956155534e-4 4.0874548593929555e-4

Outlying measurements have moderate (0.1875%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.48078434008489607 0.4824543109336044 0.4838987492661299
Standard deviation 6.798699777552591e-17 2.3312008927069494e-3 2.5018405803341696e-3

Outlying measurements have moderate (0.1875%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.4059948627739432 0.4133531771746779 0.4180653161116474
Standard deviation 0.0 7.0860464667137895e-3 8.161664051154769e-3

Outlying measurements have moderate (0.18749999999999994%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.46511857610306717 0.466823384352453 0.4680375411965149
Standard deviation 0.0 1.8323655871898626e-3 2.1029813422725613e-3

Outlying measurements have moderate (0.1875%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.3688056551472146 0.38098780766120227 0.3876993618719092
Standard deviation 6.798699777552591e-17 1.0713009190929388e-2 1.1624752890697353e-2

Outlying measurements have moderate (0.18749999999999997%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.3107998484810478 0.3141481097994447 0.31749637111784157
Standard deviation 2.8613077061659456e-3 3.96986736801207e-3 4.756846012448269e-3

Outlying measurements have moderate (0.16%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.2660641422109244 0.2668085120781516 0.2684955611329388
Standard deviation 1.6154186185492848e-4 1.159421947632865e-3 1.4845513000652439e-3

Outlying measurements have moderate (0.16%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.3141007918252806 0.31854096797985615 0.32175417110114324
Standard deviation 1.8197670476842454e-3 4.7623089073243864e-3 6.5920027767347265e-3

Outlying measurements have moderate (0.16000000000000003%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.2388713571653348 0.24310553481319191 0.2476229396542681
Standard deviation 2.5012780861497774e-3 4.782056331322019e-3 6.736971341094461e-3

Outlying measurements have moderate (0.15999999999999998%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.45067336857751256 0.4528660051574159 0.4544718620082034
Standard deviation 0.0 2.43770533154772e-3 2.7814256552466214e-3

Outlying measurements have moderate (0.1875%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.18205588867873862 0.18308040475594076 0.18483978607630608
Standard deviation 6.223612850806512e-4 1.7265915159426412e-3 2.4597240027326296e-3

Outlying measurements have moderate (0.1388888888888887%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.22822302941026015 0.2324300266992941 0.23619514810671283
Standard deviation 3.013075473335044e-3 4.99244653242614e-3 7.267206023084981e-3

Outlying measurements have moderate (0.1388888888888888%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.1641972665833877 0.16495018836427688 0.16578670053862912
Standard deviation 8.01987764059204e-4 1.1272710875031484e-3 1.5009546974905094e-3

Outlying measurements have moderate (0.12244897959183675%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.4411739388232982 0.4460839398080177 0.4486804589266249
Standard deviation 6.798699777552591e-17 4.273327736862047e-3 4.497303036251693e-3

Outlying measurements have moderate (0.1875%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.1514758553240861 0.152424454650673 0.15378640923659026
Standard deviation 1.0061379230180835e-3 1.5656422073784954e-3 2.137765994317149e-3

Outlying measurements have moderate (0.12244897959183673%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.1701893100511124 0.17335940088903934 0.17726367737303414
Standard deviation 3.0135908523595692e-3 4.735149566777617e-3 7.161798953214419e-3

Outlying measurements have moderate (0.12244897959183673%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.14901515947159225 0.15037634195874408 0.15284955102667588
Standard deviation 1.6476039667725454e-3 2.364748827040983e-3 3.040608029280516e-3

Outlying measurements have moderate (0.12244897959183672%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.4228685793277273 0.42489491319261635 0.42806366511886645
Standard deviation 0.0 2.7795806094655473e-3 2.999384179977384e-3

Outlying measurements have moderate (0.18749999999999997%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.14590952573864402 0.14736837479506665 0.14915428594662936
Standard deviation 1.1272884245153005e-3 2.2538296916626904e-3 3.3747182402558105e-3

Outlying measurements have moderate (0.12244897959183675%) effect on estimated standard deviation.

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lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.15874909669698914 0.16415553382335415 0.17105501418518518
Standard deviation 5.36069433701367e-3 8.590003243564827e-3 1.1197163736210774e-2

Outlying measurements have moderate (0.12622108945334687%) effect on estimated standard deviation.

KB 0/#req 64/#threads 64/http-streams-ioref-no-catchany

lower bound estimate upper bound
OLS regression xxx xxx xxx
R² goodness-of-fit xxx xxx xxx
Mean execution time 0.18103666915166214 0.1881811242050511 0.20082180187014975
Standard deviation 1.7456661012178556e-3 1.2918851747345916e-2 1.753634208988458e-2

Outlying measurements have moderate (0.1513180032174908%) 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.