I see But that good feeling comes with a premium price which I cannot afford for now at least.
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Thanks for the thorough explanation it was really informative. IngerMan macrumors Feb 21, 1, Michigan. For some people that is well worth it.
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IngerMan said:. But that depends on your uses. If your normal usage is Internet, email, Office, casual photos and casual videos.
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The i7 is overkill. May 3, 63, 30, Boston.
I'd go with the i7 myself at this point. But that depends on your uses Which listed usage you referring to? The one I posted at the start of the thread?
Mac Pro offers speedier OpenGL via multithreading | Macworld
Or some other. Jun 13, 2, 4, You can turn hyperthreading on and off with the free utility CPUSetter. Just out of curiosity, what are the effects of running Cinebench against a desktop i7 with hyperthreading turned on, and turned off? My machine gets , somewhat less what you'd expect given the slower clock.
Chalk it up to microarchitectural improvements in Skylake, I guess. Show hidden low quality content.
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You must log in or register to reply here. I asked several notable developers how all this works. Namely, can apps gracefully expand their use of threads, when needed, up to the limits of the hardware?
We use good design patterns to take advantage of how ever many cores are available, i. That extends to filesystem requests as well, although performance there is usually more dependent on the performance of the underlying hardware rather than on the CPU. But even there, the design pattern is the same — the developer defines their work and places it onto GCD queues, and then macOS coordinates the scheduling of that work onto processor cores. I would simply add that most operations which involve the UI must run on the main thread.
There is only one main thread, and so a UI-intensive application will benefit less—or not at all—from additional cores versus an application which primarily does computation. I asked an OpenCL expert, Dr. He wrote:.
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As a comparison, the best GPUs out there can deliver 5 to 10 teraflops on a single card and about 0. Not all algorithms scale on the thousands of GPU cores and perform well on their very simple cores. The bottom line is that app developers need to take a hard look at whether they are using the system Apple is designing optimally. And that is certainly not a trivial task!
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