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VPUs are an emerging type of microprocessor devoted to vision-based machine learning tasks, distinct from GPUs as they have no rasterization or video encoding abilities.
Were Intel's ancient versions of GNA capable of doing this stuff, or was it only when they added an NPU and "VPU" to Meteor Lake?

I don't think this type of workload needs much performance.
 
Were Intel's ancient versions of GNA capable of doing this stuff, or was it only when they added an NPU and "VPU" to Meteor Lake?
The GNA was too weak to do machine vision, I think. I'm not aware of any publicly available specs on it.

I don't think this type of workload needs much performance.
Depends on what sort of model you run, but I'd say it's generally on the order of at least a couple TOPS. Not the simplest image classifiers, but if you run any sort of YOLO-type model that can detect & classify multiple objects, as well as tell you where they are.
 
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