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AMD Medusa Point laptop CPU with Zen 6 cores makes Geekbench debut.

Started by Redaktion, Yesterday at 16:15:47

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Redaktion

A 10-core AMD Medusa Point CPU has just shown up on Geekbench, likely the AMD Ryzen AI 9 565. Medusa Point is slated to use Zen 6 CPU cores and is expected to debut sometime in 2027.

https://www.notebookcheck.net/AMD-Medusa-Point-laptop-CPU-with-Zen-6-cores-makes-Geekbench-debut.1251310.0.html

No RDNA4 or better,no buy

QuoteUnfortunately, the iGPU is not slated to get an RDNA5 upgrade, with numerous rumours stating it will stick with RDNA 3.5.
RDNA4 would have been ok, as it does support hardare-based, DLSS-like, upscaling (FSR4), but RDNA3.5 does not (AMD is also ignoring INT8 upscaling, which is still a huge improvement): youtube.com/watch?v=VPMOjdvmHMk ("FSR4 on RDNA3 on Windows!!! How To Guide and Side by Sides Tested on RX 7800 XT")

No at least RDNA4, no buy.

No RDNA4 or better,no buy

And look at that, another embarrassment for AMD: youtube.com/watch?v=v70p700D94U ("AMD's Latest Showcase Shows How Far Behind They Really Are /Rant - Crimson Desert Ray Regeneration")

Including RDNA2 and RDNA3 users still being upset because still no FSR4 INT8 on RDNA3:
Quote from: youtu.be/v70p700D94U?t=71.., at least the INT8 version not being available on their GPUs, despite the fact we know it absolutely does work.

davidm

Memory width is the thing to watch, but this site seems unaware of the concept since old school HEDT.

A genuine muppet

@No RDNA4 or better,no buy:

They don't care lol. There's a reason why consoles are getting RDNA5 (which is going to have way more powerful hardware upscaling h/w than RDNA4) by late 2027... while mainstream laptop APUs are stuck on RDNA3.5/RDNA4m (aka RDNA3.6/3.7) till 2029.

Their roadmaps are fixed. They're not changing anything certainly not for you/us. If anything, I'll be mildly surprised if they don't further have delays. Halo was delayed by 1 year.

It's been said that the best Radeon architectures in recent memory are the ones designed for consoles. As time goes by, it's increasingly becoming clear that this is true. RDNA2 was genuinely impressive for its time (DLSS wasn't as good back then as it is today). The next big one will be RDNA5! Might as well skip RDNA4 at this point, if you genuinely care about hardware based upscaling performance..

while u are at it

In the video (youtube.com/watch?v=v70p700D94U) Owen says/shows that even AMD's /r/radeon hardcore crowd is starting to get pissed off on AMD (and righteously so, of course).
I think I'm gonna skip any AMD RDNA3.5 iGPU-only laptop purchase for now until AMD officially adds FSR4 INT8 support. Just like in the video, AMD can add warnings that FSR4 INT8 will look and perform worse than FP8, but it will still look miles better than FSR3. Finally someone [Owen] said it how I (and many others) have been thinking it as well.

PS: AMD, where is HDMI 2.1a support on Linux?, the issue has been open since Dec 28, 2020 (gitlab.freedesktop.org/drm/amd/-/issues/1417). Use binaries if needed, it's better than no support at all. Been using NVIDIA on Linux and 0 (zero) issues.
PPS: Also, AMD, while you are at it, add transformer upscaling model, NVIDIA added it some time ago and they provide the best image quality (works on all RTX cards).
PPPS: Also, AMD, while you are at it, use GDDR7, it has higher bandwidth for the same bit bus width and gives LLMs a faster token generation rate.
PPPPS: Also, AMD, while you are at it, where is CUDA alternative for the desktop, like NVIDIA's CUDA works on all cards, enterprise, workstation and desktop.
PPPPPS: Also, AMD, while you are at it, .. feel free to add more :D

while u are at it

And the GDDR7 exists in higher than 2 GB per chip densities. (the 5090 Laptop uses 3 GB per chip)

PPPPPS: Also, AMD, while you are at it, when 32 GB VRAM desktop GPU. NVIDIA has a 5090 for that. I might cut you some slack if you don't use a native 512-bit chip, like NVIDIA is using on its 5090. For that you'd need to use the 3 GB dense GDDR7 chips: 384-bit / 32-bit per chip = 12 chips, each 3 GB = 36 GB VRAM. Obviously, 384-bit is a smaller/cheaper chip than the 5090' 512-bit chip, but the more VRAM would make up for it (good for LLMs, AMD, you need a reason for people to buy your GPU).

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