If we go into details - sure, 1 number is not ideal, but neither is the confidence interval, because people will assume normal distribution for them. If you report 2 numbers, perhaps instead of confidence interval (which falsely implies normal distribution) it's better to report the mode and the median.
There's an argument to Blob being the better choice, if this will run in production on a system that might encounter unrelated loads. Predictable performance is frequently more useful than theoretical maximum performance.
That said, I still agree a little bit. The minimum value is also a useful metric, and if you have the opportunity to report two numbers, the minimum-maximum pair is a great choice.
You can have your own idea about which is most important and build your comparisons on that choice, but you should give the reader enough information that the work you put in is still valuable to them in case they should make a different choice.
If we both have equal information about the distribution, then we can make our own choices about the data being presented.
In benchmarks, assuming you run the same workload each time, you often want the minimum value. Anything else just tells you how much system overhead you encountered.
(Complete agreement that applying statistics without knowing anything about the distribution can mislead.)