The underlying architecture was already pretty fast, and I believe it used native frameworks anyway, but now that the whole application is native M1, it no longer needs to load under rosetta, so aside from speed gains, it should use slightly less memory too. I’ve had a chance to try this out, and so far it does seem snappier. As there’s no need for Rosetta, PureRAW 2’s interface runs up to 10% faster. Now fully compliant with Apple’s revolutionary Silicon, DxO PureRAW Version 2.1 not only uses the neural processor architecture for RAW image processing, but also benefits from working with the M1 and M2 chips at a user interface level.
This release also adds support for the latest Canon Eos R series of cameras, and adds some improvements to the batch processing workflow.įrom the Press Release … PureRAW 2 is accelerated by Apple Siliconĭespite receiving a big update to optimize speed just a few months ago, we knew that we could get more from DxO PureRAW 2 on Apple’s latest architecture. See my recent comparison of DXO and Topaz Photo AI and ask yourself if your current tool can get even near these results.
Version 2.1 is now fully native on Apple silicon, and leverages Apple’s M1 and M2 processors. DXO Pure RAW is a cut down, and cut price, version of DXO Photo Lab. Check out DxO PureRAW3s powerful new features including DeepPRIME XD noise reduction, more contol over optical corrections, and smoother, faster RAW workflow.
DXO labs have just released an update for DXO Pure Raw 2.
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