[NeutralForest]

This presentation is pretty bad, there should be more context, some kind of color scheme or labels instead of text in the background, spacing between the languages represented, other benchmarks than the geometric mean, etc.

[gus_massa]

> other benchmarks than the geometric mean

The text is not clear enough, but "geometric mean" is not the benchmark. The 11 problems are listed in https://benchmarksgame-team.pages.debian.net/benchmarksgame/...

The results of the 11 problems are combined using the "geometric mean" into a single number. Some people prefer the "geometric mean", other people prefer the "arithmetic mean" to combine the numbers, other people prefer the maximum, and there rare many other methods (like the average excluding both borders).

[NeutralForest]

>The text is not clear enough, but "geometric mean" is not the benchmark.

Thanks that makes more sense, that's another issue for context then. I don't have anything against geometric means but there should be basic statistics like average, max, min,... available as well.

[igouy]

> … basic statistics like…

median, quartiles

https://benchmarksgame-team.pages.debian.net/benchmarksgame/...

[NeutralForest]

Could you guide me to the ones I mentioned, I'm not seeing them.

[stonemetal12]

The linked page has box and whisker plots. On a box and whisker plot the lower bar is the min, the upper bar is the max. The box goes from 25th percentile to 75th percentile while the bar in the middle of the box is the 50th percentile.

Therefore the stats you mentioned are all there min, max, and average with two different definitions of average given (geometric mean, and 50th percentile).

[igouy]

The bar in the middle of the box is an "average" - the median.

https://www.merriam-webster.com/dictionary/average

https://www.itl.nist.gov/div898/handbook/eda/section3/boxplo...

[gus_massa]

It would be nice to be able to see the numbers in a table (perhaps in a auxiliary page, instead of the main page). Sometimes people want to rearrange the data or use another representation. (log scale? sort by 75% quartile? ...)