Why did Imagination compare machine learning performance to Maxwell Titan X, a graphics card released 3 years and 3 months ago, with zero machine learning acceleration in mind (no tensor cores) and basically two generations behind than the (very soon to be released) current one? I imagine it has something to do with Volta's 100+ TOPS of machine learning and whatever expected fraction of that the upcoming consumer cards will have. I fully realize that it is unfair to compare mobile with desktop parts but Imagination did precisely that, so I am just returning the comparison back to them.
I believe that's why they chose it. They're showing that using traditional GPUs (at approx. the level of sophistication as current mobile GPUs) isn't possible and that you need acceleration. They did so using a well-known high-profile example that actually was used for that sort of thing before specialized cores were integrated.
It will be interesting to compare the efficiency of some of these lower-power accelerators.
They should have compared to nvidia new Tegra chip, not a desktop card designed for 3D rendering in mind more than 3 years old (why then not a P100 solution that alone is already 3x faster than Maxwell in AI tasks? Let alone Volta) That reminds me of Intel comparing their last brand new 22nm Atoms with latest PP compared to Cortex-A9 chip just to have the graph with a smaller longer colored bar.
We know the end of that story. I think this won't be much different
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Santoval - Friday, June 8, 2018 - link
Why did Imagination compare machine learning performance to Maxwell Titan X, a graphics card released 3 years and 3 months ago, with zero machine learning acceleration in mind (no tensor cores) and basically two generations behind than the (very soon to be released) current one?I imagine it has something to do with Volta's 100+ TOPS of machine learning and whatever expected fraction of that the upcoming consumer cards will have. I fully realize that it is unfair to compare mobile with desktop parts but Imagination did precisely that, so I am just returning the comparison back to them.
Kvaern1 - Friday, June 8, 2018 - link
First marketing do the graph they want. Then they find another product which matches it.Alexvrb - Saturday, June 9, 2018 - link
I believe that's why they chose it. They're showing that using traditional GPUs (at approx. the level of sophistication as current mobile GPUs) isn't possible and that you need acceleration. They did so using a well-known high-profile example that actually was used for that sort of thing before specialized cores were integrated.It will be interesting to compare the efficiency of some of these lower-power accelerators.
CiccioB - Monday, June 11, 2018 - link
They should have compared to nvidia new Tegra chip, not a desktop card designed for 3D rendering in mind more than 3 years old (why then not a P100 solution that alone is already 3x faster than Maxwell in AI tasks? Let alone Volta)That reminds me of Intel comparing their last brand new 22nm Atoms with latest PP compared to Cortex-A9 chip just to have the graph with a smaller longer colored bar.
We know the end of that story. I think this won't be much different