I took liberties of charting it on graph to see it more appropriately:
The numbers next to the GPUs represent the amount of tensor cores they have.
I was thinking in taking the current conversation there as it can be more interesting to see how it would scale with lesser tensor cores on a mobile device.
Of these, the most comparable are the 2060 Super and the 3080, in terms of Tensor Core count. And of that, only the UHD 4K values and lower are of importance here for the mobile T239 device.
Edit, more charts!:
Here's the chart of the 2060 Super:
This is the RTX 3080:
Things to note for anyone analyzing these, the first dot represents 1920x1080, the second 2560x1440 and the final dot represents 3840x2160
I will edit this to add a few more.
So, for Turing the formula seems to be that for a close proximity and for Ampere is seems to be that for the close proximity.
Hope this is of any help to anyone
EDIT AGAIN!: These are the the desktop class GPUs, the ones in Orin are different, but in assumption that we have the Desktop class tensor cores in a small device, it should give an idea of how long it takes for it and how it scales. Just to keep in mind, not to make assumptions based on it definitely being the desktop equivalents.
And also, the 3080 is clocked 3.6% faster at the higher bound and 2.08% slower at the lower bound than the 2060 Super