Discussion Intel Meteor, Arrow, Lunar & Panther Lakes Discussion Threads

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Tigerick

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As Hot Chips 34 starting this week, Intel will unveil technical information of upcoming Meteor Lake (MTL) and Arrow Lake (ARL), new generation platform after Raptor Lake. Both MTL and ARL represent new direction which Intel will move to multiple chiplets and combine as one SoC platform.

MTL also represents new compute tile that based on Intel 4 process which is based on EUV lithography, a first from Intel. Intel expects to ship MTL mobile SoC in 2023.

ARL will come after MTL so Intel should be shipping it in 2024, that is what Intel roadmap is telling us. ARL compute tile will be manufactured by Intel 20A process, a first from Intel to use GAA transistors called RibbonFET.



Comparison of upcoming Intel's U-series CPU: Core Ultra 100U, Lunar Lake and Panther Lake

ModelCode-NameDateTDPNodeTilesMain TileCPULP E-CoreLLCGPUXe-cores
Core Ultra 100UMeteor LakeQ4 202315 - 57 WIntel 4 + N5 + N64tCPU2P + 8E212 MBIntel Graphics4
?Lunar LakeQ4 202417 - 30 WN3B + N62CPU + GPU & IMC4P + 4E012 MBArc8
?Panther LakeQ1 2026 ??Intel 18A + N3E3CPU + MC4P + 8E4?Arc12



Comparison of die size of Each Tile of Meteor Lake, Arrow Lake, Lunar Lake and Panther Lake

Meteor LakeArrow Lake (N3B)Lunar LakePanther Lake
PlatformMobile H/U OnlyDesktop & Mobile H&HXMobile U OnlyMobile H
Process NodeIntel 4TSMC N3BTSMC N3BIntel 18A
DateQ4 2023Desktop-Q4-2024
H&HX-Q1-2025
Q4 2024Q1 2026 ?
Full Die6P + 8P8P + 16E4P + 4E4P + 8E
LLC24 MB36 MB ?12 MB?
tCPU66.48
tGPU44.45
SoC96.77
IOE44.45
Total252.15



Intel Core Ultra 100 - Meteor Lake



As mentioned by Tomshardware, TSMC will manufacture the I/O, SoC, and GPU tiles. That means Intel will manufacture only the CPU and Foveros tiles. (Notably, Intel calls the I/O tile an 'I/O Expander,' hence the IOE moniker.)



 

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GTracing

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How meaningful is platform TOPS as a metric? Genuinely asking. I don't know much about this stuff.

Can models easily be run on the CPU, NPU, and GPU at the same time? Will a 10 TOPS CPU run AI software as fast as a 10 TOPS NPU or 10 TOPS GPU? Or does it depend on the software? Would running a model on the CPU use all the CPU horsepower and make the system slow and unusable until the software finishes?
 

511

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How meaningful is platform TOPS as a metric? Genuinely asking. I don't know much about this stuff.
TOPS is even worse than FP32 Flops for metric cause at least it's FP32 and is fixed Size while companies don't even list the TOPS they use it can be Int8/BF16/FP16/Int4/FP4 size.

Nvidia uses TOPS with an edge case called Sparsity they will just take the TOPS multiply by 2 due to the edge case and report it as TOPS for example the 980 TOPs on Nvidia RTX 5070 is FP4 with Sparsity so if we convert it into what Intel has reported it in terms of Int8 we would be dividing it by 4. 2 from going from FP4(4 bit) Sparsity to non Sparsity and 2 by going from FP4 to Int8 (8 bit) that would translate to approx 245 TOPS of Int8 or roughly double the throughput of the Panther Lake iGPU.

TOPS = ops/clk*clk frequency* Cores
This is the mathematical part of conversion
Can models easily be run on the CPU, NPU, and GPU at the same time? Will a 10 TOPS CPU run AI software as fast as a 10 TOPS NPU or 10 TOPS GPU? Or does it depend on the software? Would running a model on the CPU use all the CPU horsepower and make the system slow and unusable until the software finishes?
It all comes down to software also if they are not Memory Bandwidth and Size bound it would be performing the same but that's an ideal scenario an iGPU may be faster than an RTX 4090 if the model size is too big that it spills out of VRAM and becomes Slow.
For AI You need few things
> Memory large enough to fit the model.
> Memory Bandwidth to not slow the model
> Compute ofc measured in TOPS in this case BF16 is used for training smaller size like FP4 is limited to inference.
> Software Support( Hence the CUDA Moat cause AMDs MI300X is more powerful but lacking in SW)

Hope that helps
 
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dullard

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Yes, E cores are quite competent at SPECINT2017 at low clock speeds compared to P cores, but just to point out the obvious....

  • Real applications are not SPECINT
That test was SPECint. But, there have been other tests of P core vs. E core on other applications. The results so far have always the same: the performance curves cross each other at some point. Meaning one core is better at low power and the other core is better at high power.

Here are some admittedly dated ones, but they were easy to find and are real applications and not just SPECint:



but my point is for power constrained devices P cores are not that useful outside of maybe like 4P Cores the additional 2P cores will steal too much from power budget.
If your revised statement is that 6 P cores is too much, then lucky for you the 235H exists with fewer P cores and costs 31% less.
 

511

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Jul 12, 2024
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I was thinking of the NPU on Meteor Lake and Arrow Lake which uses TSMC N6. I assume you were talking about Lunar Lake?
Yes they have made a significant changes compared to LNL to minimize the area for NPU while still meeting Co-Pilot requirements
 

OneEng2

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Sep 19, 2022
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That test was SPECint. But, there have been other tests of P core vs. E core on other applications. The results so far have always the same: the performance curves cross each other at some point. Meaning one core is better at low power and the other core is better at high power.

Here are some admittedly dated ones, but they were easy to find and are real applications and not just SPECint:
View attachment 116511
View attachment 116512


If your revised statement is that 6 P cores is too much, then lucky for you the 235H exists with fewer P cores and costs 31% less.
Thanks. This is for older P and E cores and not LLK/ARL, but I suspect the story would still be the same.
 

511

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Thanks. This is for older P and E cores and not LLK/ARL, but I suspect the story would still be the same.
The architecture has massive gaps between GLC and GMT vs SKT and LNC so there is a massive uArch difference the curve has shifted in favour of SKT more vs LNL
 

AcrosTinus

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Jun 23, 2024
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🫣🫣🫣
Raptor is and was fast, so fast in fact it burned out like a star.
Only 18A or 14A based chips with a lot more logic can really surpass it, Zen5 is not much faster than RaptorCove as well.
 
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511

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Raptor is and was fast, so fast in fact it burned out like a star.
Only 18A or 14A based chips with a lot more logic can really surpass it, Zen5 is not much faster than RaptorCove as well.
It's embarrassing that a Intel 7 product is making ST Performance of Zen5/ARL not meh
 

511

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I am waiting for Igor to leak NVL Performance Projection like they did with arrow lake.

Since the core count is 16P+32E I bet the 32E alone would have greater Multi than ARL-S and 2X over ARL is possible 100K R23?

I hope they don't use DLVR on Desktop there is no need for it on Desktop.

Any guesstimate for ST Performance?
 

Thunder 57

Diamond Member
Aug 19, 2007
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I am waiting for Igor to leak NVL Performance Projection like they did with arrow lake.

Since the core count is 16P+32E I bet the 32E alone would have greater Multi than ARL-S and 2X over ARL is possible 100K R23?

I hope they don't use DLVR on Desktop there is no need for it on Desktop

At what kind of TDP do you think they could pull that off? And enough memory bandwitdth to feed the cores? Maybe they have a halo SKU for that but I suspect Intel will stick to 8P cores for the most part. Not necssarily a bad thing, look at Nvidia ATM.
 

511

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Jul 12, 2024
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At what kind of TDP do you think they could pull that off? And enough memory bandwitdth to feed the cores? Maybe they have a halo SKU for that but I suspect Intel will stick to 8P cores for the most part. Not necssarily a bad thing, look at Nvidia ATM.
Around 300-350W which kind of is needed to feed the P cores if it were 48 E cores 250W would have been enough considering 144E SRF Cores are fine around 250W as for bandwidth I would guess Triple channel memory ought to be needed
 
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