would be nice if they could also come up with atleast one model more to support onboard Ethernet?
dongles are just not reliable mode to connect, and hubs are not very portable.
Li-Fi Wireless seem around the corner, but for the moment, Ethernet is still useful - thanks.
Qualcomm investigating Adreno X2 support for Folding@Home
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muziqaz
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Re: Qualcomm investigating Adreno X2 support for Folding@Home
https://www.techpowerup.com/gpu-specs/radeon-780m.c4020Ncard00 wrote: ↑Sat Apr 18, 2026 4:03 pm Muziqaz, comparing a 450W desktop 5090 to a 65W mobile SoC misses the point of efficiency.
My native ARM64 benchmarks show that when software is optimized, this hardware delivers 100 FPS at 1600p, proving that x86 emulation is the only bottleneck.
If the community can spend 2.5 years on HIP, it is only logical to stop wasting 70% of the TFLOPS-per-watt potential on this platform due to legacy bias.
The technical proof of concept is simple: native code unlocks the 9 TFLOPS iGPU while emulation chokes it.
If a complex engine runs stably at high resolutions, the hardware is ready for intensive scientific compute cycles.
It is time to look at real-world native data and stop treating the most efficient Windows-capable architecture as a niche curiosity.
I am not asking for special treatment, but for the same technical rigor you applied to AMD to be used for ARM64.
Dismissing millions of high-efficiency cores entering the market is a failure to adapt to modern hardware reality.
The performance is here, the efficiency is here, and it is time for the software to catch up.
2 year old design is achieving nearly the same with 15W envelope what you are claiming yet to be released 65W envelope chip will achieve.
I'm done with this discussion until you ran OpenMM benchmarks and have enough information to look at
Re: Qualcomm investigating Adreno X2 support for Folding@Home
muziqaz:
As I said, not gonna waste time running the openMM benchmarks, cause even with a pro model chatbot, I cannot make this work, even with terminal commands, should be child's play and an easy user experience, but it's not.
So until OpenMM becomes much easier to run, I'm not gonna waste my time on this.
As I said, not gonna waste time running the openMM benchmarks, cause even with a pro model chatbot, I cannot make this work, even with terminal commands, should be child's play and an easy user experience, but it's not.
So until OpenMM becomes much easier to run, I'm not gonna waste my time on this.