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I presume the 800 MIPs ...
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The processors are very similar. The data sheet for the MPC5125, the chip in the cRIO-II, stated the 800 MIPS as being accomplished for less than one watt. The cRIO uses the MPC5100 and lists the MIPS as 760.
I quoted integer benchmarks because many image operations are integer based. The sequence of operations for FRC in 2012 was to decode the JPG, color threshold, convex hull, make particle measurements, and compare the particle scores to target scores. I believe all of those operations are integer based, many of them being applied to every pixel, so lots of integer ops. I'm sure there are some floats used too, but way more integers.
A few years ago, the target was the ellipse/circle, and a Hough transform use used for the shape matching. At least the current geometric shape library is entirely Hough-based, I assume it was then. This will have a bigger mix of float operations. Since coordinates in the image are integers and there are so many of them, there will at least be lots of int loads and stores. And in general, image processing libs tend to be optimized. Since ints are still somewhat faster than floats, even with SSE, they will use the fastest approach that gets the right answer.
Greg McKaskle