371–380 of 917 posts
Is geekbench seen as a valid score? It seems that on the pc hardware sites and youtube channels I frequent that they don't seem to mention it. The only time I seem to see it is for mac stuff.
I just can't figure out what I'm missing on the "M1 is so fast" side of things. For years I worked* on an Ubuntu desktop machine I built myself. Early this year I switched to a brand new M1 mini and this this is slower and less reliable than the thing I built myself that runs Ubuntu. My Ubuntu machine had a few little issues every no and then. My Mini has weird bugs all the time. e.g. Green Screen Crashes when I have…
That's Docker for Mac versus native Docker. Docker only runs on Linux, so Docker for Mac spins up a linux VM to run your containers. When you mount your Ruby or Python projects into your containers, Docker for Mac marshals tons of filesystem events over the host/guest boundary which absolutely devastates your CPU. Docker for Mac is really just bad for your use case. No idea what's going on with the thumb drive, bluet…
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Is there any reason why the Intel CPU wouldn’t run at 4.9 GHz for the single core benchmark though - whilst the M1 would be limited to a much lower frequency which it can sustain for much longer?
I think, but I'm not 100% sure, that limits are on overall TDP, i.e., single-core workloaad can run on turbo indefinitely. Then aalso I'd assume benchmarks are much longer than any reasonable value of tau which means it integrates out (i.e., Intel performance may be higher in short-term). Edit: that is probably one of the reasons single-core gap is smaller
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Are you comparing the price of a chip to a laptop??
Yes. If I bought one of these it would never actually move so I don't actually mind the comparison all that much for my personal use case, obviously it isn't apples to oranges but my point is that this performance is not free.
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Thanks - interesting on OpenCL - presumably running on GPU? All that memory opens up some interesting possibilities. Also I thought Apple was deprecating OpenCL in favour of Metal?
OpenCL and OpenGL have been deprecated in favor of Metal. Geekbench also has a Metal compute benchmark.
I'm in the situation where I really want to pre-order a 14", but I have no idea if going with the base model would be a mistake. Would upgrading to 32GB RAM make Xcode faster? Or would it be a waste of $400?
My opinion: the jump from 16GB to 32GB probably won't make a huge difference today, especially if your workload is already running alright in 16GB. I think it'll greatly extend the useful life of the laptop, though. For example, I wouldn't want to be using an 8GB laptop today.
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> Compared to previous macs and igpus - an nvidia gpu will still run circles arounnd this thing True, but the point here is that M1 is able to achieve outstanding performance per watt numbers compared to Nvidia or Intel.
Are you really rendering in a cafe that you need on the go GPU performance?
Top intel mobile processor appears to be https://browser.geekbench.com/v5/cpu/10431820 M1 Max gives 9% boost for single-core and 34% for multicore, with similar or larger (?) TDP -- Intel is 35-45 W, M1 Max is 60W but I assume some of it (a lot?) goes to GPU. Impressive, but probably wouldn't be called revolution if came from Intel.
I just can't figure out what I'm missing on the "M1 is so fast" side of things. For years I worked* on an Ubuntu desktop machine I built myself. Early this year I switched to a brand new M1 mini and this this is slower and less reliable than the thing I built myself that runs Ubuntu. My Ubuntu machine had a few little issues every no and then. My Mini has weird bugs all the time. e.g. Green Screen Crashes when I have…
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Over 6 years, 2x the performance in single-core and 4x (for 2.5x the cores, depending how you count) seems surprisingly low compared to stuff I've read (not experienced yet) with the M1.
I think a lot of the perceivable speedup in M1 Macs is less to do with these benchmarks and more to do with optimizing the OS and Apple software for the M1 and the various accelerators on the SoC (video encoding and ML).