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“If the hype was about dramatically improving performance and efficiency, I would say yes: Apple Silicon lived up to it and then some,” he said.
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He’s now got an M1 Pro MacBook Pro with 32GB RAM, which means he’s running FreeBSD and Linux full time in VM while working in macOS. Surprisingly, for my workloads, an M1 with 16GB of RAM significantly outperforms my previous-generation hardware with 64GB of RAM.” Perhaps most consequential for any pro user, he said: “The M1's unified memory architecture actually works. “We know this because we immediately ran tests when our first hardware arrived!” Under-the-hood capability He could work without fan noise and make it through a full day without charge. “Builds are nearly twice as fast than the fastest Intel Macs,” Case said. "I upgraded my laptop to an M1 MacBook Air, and experienced nearly the same performance benefits-while simultaneously gaining incredible efficiency in the form of battery life and reduced heat.” I replaced my desktop with an M1 Mac mini the day I could get my hands on it and despite the reduced memory available in those first M1s, I immediately experienced the benefit of apps building twice as fast as they were building before.
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Ken Case, co-founder and CEO of the Omni Group, seems happy with Apple Silicon, telling me, “Apple's new M1-powered Macs have exceeded my expectations. “Across the board, I'm seeing most common tasks getting done in half the time they required before, or less,” he said.
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What’s it like as a developer? Siegel himself has seen significant improvement in his own experience. BBEdit is a highly functional and mature application with a large code base, which means it leans heavily on system performance for Xcode development and testing. On the latter, he says: “It’s a huge leap in performance compared to the Intel hardware I had previously been using.”īBEdit will exploit this performance to boost productivity and to enable new experiences, thanks to the combination of faster processors, memory, and GPU power.
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He's made multiple transitions with Apple, starting with the move to PowerPC, then Mac OS X, and now Apple Silicon. Rich Siegel, founder and CEO of Bare Bones Software, is a 33-year veteran of Mac development. “Many of these routines operate in near real-time, in native Apple Silicon builds,” he exclaimed.Ī common chip architecture delivers real benefits to developers who can leverage gains made on one configuration across all the platforms, he says. He particularly wanted to note how the on-chip Neural Engine brings big gains to Sensei/machine-learning tasks in Adobe applications. O’Neil Hughes noted that migrating applications to Apple’s Mac chips was made easier through Adobe’s previous work on iOS and iPadOS. “We’ve seen extremely impressive results across our native applications, from launch through workflow,” he said. “These gains are even more profound in workflows rely heavily upon the deep integration with Apple Silicon (imaging and video are great examples of large files which push these new machines to their limits).” Bryan O’Neil Hughes, Adobe’s director of product management, says Apple’s Mac processors live up to their promise.