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2022 MacBook Pro M2 Max: Image Scaling, Topaz Gigapixel AI
Related: 2019 iMac 5K, 2019 Mac Pro, 4K and 5K display, Apple MacBook Pro M2, Apple Silicon, Artificial Intelligence, focus stacking, GPU, iMac, iMac 5K, image scaling, laptop, Mac Pro, MacBook, MacBook Pro, Macs, Topaz Labs, Topaz Labs Gigapixel AI, video
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Consult with Lloyd, to design a complete system for photography or similar including backup and data safety
MPG tested the Apple 16.2" MacBook Pro with M2 Max Chip Z1740017Z, maxed-out excepting 4TB SSD.
Consult with Lloyd to design a complete system for photography or similar including backup and data safety.
Topaz Labs'Topaz Gigapixel AI does computationally intensive high-grade image scaling using either CPU or GPU. Highly recommended for photographers looking to take any image to a far larger and higher quality size; the results are jaw dropping.
This tests scales a 60-megapixel (9552 X 6360) image 2X linearly to a 240 megapixel (19104 X 12720) image.
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See the image scaling settings.
Even using CPU cores, the 2022 MacBook Pro M2 Max matches the 28-core 2019 Mac Pro—an amazing feat for a 12-core (8+4) laptop.
But the 38-core-GPU 2022 MacBook Pro M2 Max stomps all over the high-end Vega II video card of the Mac Pro, which takes a whopping 5.1X longer to finish the job. Only once in a blue moon do you see this kind of absolute performance blowout.
That the MacBook Pro GPU is fast is seen immediately in preview mode—what is extremely sluggish on the iMac 5K and quite slow on the Mac Pro happens rapidly on the MBP. Incredible!
Using the GPU, the M1 Max takes a whopping 43% longer than the M2 Max.
The MacBook Pro M1 Max could not be tested for CPU time because of a bug (v6.3.3) that always uses the GPU regardless of preference settings.
TASCAM TM-280 Studio Microphone with Flight Case, Shockmount, and Pop Filter