![]() ![]() ![]() 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. Using the GPU, the M1 Max takes a whopping 43% longer than the M2 Max. One demo involved AI-accelerated AI upscaling via Topaz Video Enhance AI, where an A370M was 2.3. 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. Intel also showed off the new GPUs content creation chops. Only once in a blue moon do you see this kind of absolute performance blowout. Gigapixel: a RTX 3080 is as fast as a Quadro RTX 5000 here. If below are out of date: view current Mac wishlist and all current OWC wishlists.ĬLICK TO VIEW: Recommended Memory, Storage,etcĬLICK TO VIEW: Recommended MacBook Pro Configurations ResultsĮven 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.īut 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. Capture One: 3090 is 50 faster than Quadro RTX 5000, a second RTX 5000 added is 65 faster, together 22 Teraflops FP 32 /// 44 TF FP16) Denoise AI: 3090 is 26 Faster than a Quadro RTX 5000. This tests scales a 60-megapixel (9552 X 6360) image 2X linearly to a 240 megapixel (19104 X 12720) image. Flowframes is a simple but powerful app that utilizes advanced AI frameworks to interpolate videos in order to increase their framerate in the most natural. Highly recommended for photographers looking to take any image to a far larger and higher quality size the results are jaw dropping. Can be run in CPU mode, but requires a CUDA enabled Nvidia graphics card to get the most out of. Topaz Labs' Topaz Gigapixel AI does computationally intensive high-grade image scaling using either CPU or GPU. Enlarge and enhance pictures automatically using AI. ![]()
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