*According to Qualcomm

Third times the charm. Qualcomm messed up the last time they tried to make an ARM chip for computers, but this time Im more optimistic. The specs look amazing on paper

  • muusemuuse@sh.itjust.works
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    3 days ago

    It’s hilarious Qualcomm keeps claiming this is their tech. They failed for years to make ARM on pc happen. Then some engineers leave Apple after the transition to M-series chips and make their own equivalent for PCs and Qualcomm, on contract with Microsoft to deliver an ARM chip for windows-powered portables just fucking buys them and slaps their branding on it. There is a HUGE difference between the X series Qualcomm chip and their previous SQ-series science fair trash. The X series are good chips. Their Linux support is lacking but for most users who wouldn’t consider leaving windows even if it gave them cancer these are perfectly fine chips. We need more diversity in the chip market and ARM is great for that. Qualcomm sucks is all.

  • Mistic@lemmy.world
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    3 days ago

    I don’t trust Microsoft to make apps on their OS work as well as on x86. Their support so far with X elite/pro chips was very telling.

    Credit where credit is due, Apple worked hard with other developers to make the transition to ARM possible. Microsoft doesn’t seem to be bothered to do that much.

  • Fair Fairy@thelemmy.club
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    4 days ago

    If they think I would be jumping with joy for android on my desktop they are miscalculating.

    For people to switch they have to be excited about your platform. WTF should I get excited for when they are killing open source android core?

    I should be Excited about the ad company telling me what apps I can install? Fuck u Google.

  • poke@sh.itjust.works
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    3 days ago

    Fastest? Uhhh, we’ll see about that, I guess. Would be pretty cool, but I have my doubts.

    • poke@sh.itjust.works
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      3 days ago

      Okay, outside of the title every time they say “fastest” they follow it up with “at iso power” which apparently means equivalent or same. So they’re basically saying they’re the most efficient twice, but they creatively used the word faster like they are an industry leader in more than one metric when they’re not.

      Also I have a feeling their claims won’t even be accurate if someone installs windows on a recent macbook, which is why I suppose they are also only comparing to windows native devices.

    • simple@piefed.socialOP
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      4 days ago

      That was part of it, but they hyped up the product so much as a Macbook M series competitor and made outrageous claims, including having very optimistic benchmarks. They shot themselves in the foot because any benchmarks compared to the macbook were against them, especially in efficiency. They promised Linux support shortly after launch too but it’s still not fully here.

      • Arcane2077@sh.itjust.works
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        4 days ago

        I mean, that’s how qualcomm does business. For as long as they’ve existed, they’ve made ridiculous comparisons about their newest chip against Apple’s. Fool me once shame on me, fool me twenty times, shame on me again because I should’ve learned 19 times ago

  • humanspiral@lemmy.ca
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    3 days ago

    NPU

    worthless.

    premium PCs (laptops)

    I understand that it will be power efficient, but premium won’t beat strix halo in performance. Slightly lower memory bandwidth. Mac M3 or M4 is much higher spec’ed.

    we’ll see how they do.

    • KingRandomGuy@lemmy.world
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      3 days ago

      Depends strongly on what ops the NPU supports IMO. I don’t do any local gen AI stuff but I do use ML tools for image processing in photography (e.g. lightroom’s denoise feature, GraXpert denoise and gradient extraction for astrophotography). These tools are horribly slow on CPU. If the NPU supports the right software frameworks and data types then it might be nice here.

      • humanspiral@lemmy.ca
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        2 days ago

        NPUs are very scammy, with all use vendor specific proprietary, often undocumented, implementations that are often incompatible with previous vendor architectures. Microsoft is makeing DirectML, but AMD/Intel (different NPUs that keep changing) aren’t fully supported. Copilot does manage to do some minimal AI use. Their small LLM is snapdragon elite only. but 27 tokens/s for 1.6gb ram (4 bit int quantized) is much lower than x86 (or gpu) performance on similar sized models. ultra low power use is the benefit, but so far, any chip die space given to NPU is, IMO, a waste of money, partly because it is a dark black box that only Microsoft has the key to.

        • KingRandomGuy@lemmy.world
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          2 days ago

          Yeah I agree on these fronts. The hardware might be good but software frameworks need to support it, which historically has been very hit or miss.