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Before you reply that this is a stupid methodology, please put together something based on a methodology that you think is good and use that supporting data.
Ah, that little table from your original post explains where are you coming from ... I wouldn't use word stupid though, but slightly unscientific ... FLOPS is a unit and performance is measured using that unit (among other things such as fps but that's resolution dependent unlike flops). That little table in column 4 has a ratio "average frame rate per second / peak theoretical floating operations per second" ... and it would be great to have unitless ratio for that purpose, but very difficult because actual performance is measured in fps.
Since you are depicting a trend in your graph, it should work out if and only if all is measured in same resolution (either that or all resolution summary) and gpu usage is same in all games/samples. The second condition is a difficult one.
Why usage, because for example 8 TFLOPS GPU @75% usage skews your perf/flops ratio compared to say 8 TFLOPS GPU @100% usage.
As I said, good thing you extrapolated a linear trend out of the data points to combat the gpu usage skew.
I'm not even going into how in one game to calculate a single pixel you need X floating point operations, and for another game 2X floating point operations ... but again same games were used so relative trend analysis works out
I may have came across as a dick which wasn't my intention, but I admit that the fact that you are looking for a trend and relative amd vs nvidia relation between trends (using averages and same games) helps making your methodology work.