To put each chip to task, I rendered and exported said footage. I recently measured the performance of the base-level 14-inch M1 Pro MacBook Pro and a 32-core GPU M1 Max 16-inch MacBook Pro. This involved a 20 minute piece of 4K footage, shot on my Sony FX3 in 10-bit 4:2:2 colour and at 24fps. There are, after all, only a couple of cores (eight, at the most) between each option. The 16-inch version of the MacBook Pro starts at 16-cores of GPU with the M1 Pro and a max (excuse the pun) additional spend of $300 will net you the M1 Max 32-core version – the one I went for.Ĭonfused? I understand why. Feeling flush? Chuck another $200 on top of that, and you’ll end up with 32-cores. However, spend $500 extra, and you’ll suddenly be in M1 Max land and find yourself with a hefty 24-cores of GPU to play with. From there, if you spend an extra $300, you bag yourself the 16-core version. On the 14-inch MacBook Pro, the fewest number of GPU cores you can opt for is 14 in the base level machine on the M1 Pro chip. If you thought choosing between the M1 Pro and M1 Max was difficult, or have spent the last few weeks running around in circles between 16, 32, and 64GB of unified memory, wait until you get stuck into the GPU options. Today, we’re going to focus on the GPU cores, because I think they’re easily the most misunderstood element of the new MacBook Pro – and I’ve rounded on a blindingly-simple conclusion. In fact, it’s damn confusing.įor all Apple’s determination to democratise all of this power and make it as non-geeky as possible, the sheer range of CPUs, GPUs, unified memory options, and chip iterations makes for a perilous buying experience. Receiving a new MacBook Pro is very exciting (unless you experience the same delivery woes as I).īut, buying one? That isn’t exciting, at all.
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