That’s not apples to apples. If you spec a windows laptop, good luck getting the same performance and the same battery life and portability at the same price. Also build quality, screen, speaker and trackpad quality will likely not be at apples level from the windows machine. If that’s what you’re in the market for Apple machines are not bad. For instance a photographer/videographer working on location, truly amazing for them. Should everyone buy one? No. Are there a 100 better ways to spend the money if you don’t have that specific Apple favoured use case. Sure, e.g. your mum doesn’t need a MacBook Pro for Facebook / Amazon browsing and your cousin shouldn’t buy a Mac Studio for gaming. But use cases do exist, and for those people Macs are genuinely a good proposition.
A beefy ass desktop that weights about 15kg and eats as much energy as a microwave when gaming. For performance per watt nothing beats the Apple Silicon.
What you using all that power for? Gaming? Not likely on Mac, Machine learning? Also not likely with that GPU… Maybe a Photoshop machine? Enjoy that non expandable ram.
For a nice dev machine I get it, nice battery life and watch Netflix on a screen, but it’s not like you can’t get a same performance machine for the same/lesser price with Dell/Thinkpad and use Linux…
That’s a rather narrow set of use cases. For example, they are audio and video editing powerhouses. Audio in particular is exceptional because of core audio in MacOS.
And upgradable components aren’t something 95% of the population is worried about. Max out what you need when you buy it. My last Mac lasted 8 years with no trouble. And by the time I was ready to upgrade, the bottleneck was mainly the cpu, which in a case of 8 years, that means a new motherboard, and at that point you might as well upgrade the whole computer, as standards have changed and updated.
Apple silicon has a pretty decent on-board ML subsystem, you can get LLMs to output a respectable number of tokens per second off of it if you have the memory for them. I’m honesty shocked that they haven’t built a little LLM to power Siri
The close competition? For the price of a MacBook you could get a beefy ass PC.
That’s not apples to apples. If you spec a windows laptop, good luck getting the same performance and the same battery life and portability at the same price. Also build quality, screen, speaker and trackpad quality will likely not be at apples level from the windows machine. If that’s what you’re in the market for Apple machines are not bad. For instance a photographer/videographer working on location, truly amazing for them. Should everyone buy one? No. Are there a 100 better ways to spend the money if you don’t have that specific Apple favoured use case. Sure, e.g. your mum doesn’t need a MacBook Pro for Facebook / Amazon browsing and your cousin shouldn’t buy a Mac Studio for gaming. But use cases do exist, and for those people Macs are genuinely a good proposition.
A beefy ass desktop that weights about 15kg and eats as much energy as a microwave when gaming. For performance per watt nothing beats the Apple Silicon.
What you using all that power for? Gaming? Not likely on Mac, Machine learning? Also not likely with that GPU… Maybe a Photoshop machine? Enjoy that non expandable ram.
For a nice dev machine I get it, nice battery life and watch Netflix on a screen, but it’s not like you can’t get a same performance machine for the same/lesser price with Dell/Thinkpad and use Linux…
That’s a rather narrow set of use cases. For example, they are audio and video editing powerhouses. Audio in particular is exceptional because of core audio in MacOS.
And upgradable components aren’t something 95% of the population is worried about. Max out what you need when you buy it. My last Mac lasted 8 years with no trouble. And by the time I was ready to upgrade, the bottleneck was mainly the cpu, which in a case of 8 years, that means a new motherboard, and at that point you might as well upgrade the whole computer, as standards have changed and updated.
Apple silicon has a pretty decent on-board ML subsystem, you can get LLMs to output a respectable number of tokens per second off of it if you have the memory for them. I’m honesty shocked that they haven’t built a little LLM to power Siri
With that software support…?
Or a beefy laptop that can do more than send emails and Photoshop lol