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

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Tigerick

Senior member
Apr 1, 2022
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Wildcat Lake (WCL) Preliminary Specs

Intel Wildcat Lake (WCL) is upcoming mobile SoC replacing ADL-N. WCL consists of 2 tiles: compute tile and PCD tile. It is true single die consists of CPU, GPU and NPU that is fabbed by 18-A process. Last time I checked, PCD tile is fabbed by TSMC N6 process. They are connected through UCIe, not D2D; a first from Intel. Expecting launching in Q2/Computex 2026. In case people don't remember AlderLake-N, I have created a table below to compare the detail specs of ADL-N and WCL. Just for fun, I am throwing LNL and upcoming Mediatek D9500 SoC.

Intel Alder Lake - NIntel Wildcat LakeIntel Lunar LakeMediatek D9500
Launch DateQ1-2023Q2-2026 ?Q3-2024Q3-2025
ModelIntel N300?Core Ultra 7 268VDimensity 9500 5G
Dies2221
NodeIntel 7 + ?Intel 18-A + TSMC N6TSMC N3B + N6TSMC N3P
CPU8 E-cores2 P-core + 4 LP E-cores4 P-core + 4 LP E-coresC1 1+3+4
Threads8688
Max Clock3.8 GHz?5 GHz
L3 Cache6 MB?12 MB
TDP7 WFanless ?17 WFanless
Memory64-bit LPDDR5-480064-bit LPDDR5-6800 ?128-bit LPDDR5X-853364-bit LPDDR5X-10667
Size16 GB?32 GB24 GB ?
Bandwidth~ 55 GB/s136 GB/s85.6 GB/s
GPUUHD GraphicsArc 140VG1 Ultra
EU / Xe32 EU2 Xe8 Xe12
Max Clock1.25 GHz2 GHz
NPUNA18 TOPS48 TOPS100 TOPS ?






PPT1.jpg
PPT2.jpg
PPT3.jpg



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.



LNL-MX.png
 

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Last edited:

jdubs03

Golden Member
Oct 1, 2013
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Its on a better node so thats kind of given to be smaller. The performance improvements are pretty mundane as well.
Fair appraisal. That surely helps. But still if we’re just looking at core size and comparing to the M4, Oryon-L does look pretty good performance wise while being considerably smaller.
 

FlameTail

Diamond Member
Dec 15, 2021
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wait, are these just the cores themselves. No L2?

If so how can 10-wide core with a 960 ROB be smaller than Lion cove and Zen5C.

@Kepler_L2 , whats going on here?

EDIT: Well it is on N3E
The source says private L2 caches are included into area.

M4-P : 3 mm² N3E
Lion Cove : 4.5 mm² N3B
Zen 5 : 4.15 mm² N4P

Lion Cove has a 2.5 MB private L2 cache. But I am pretty sure that even if we subtract the L2 area, Lion Cove will be bigger than M4 P-core. Speaks a lot about how bloated Intel's Cove designs are. (And Lion Cove is even on the slightly denser N3B node!)
 

cannedlake240

Senior member
Jul 4, 2024
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The source says private L2 caches are included into area.

M4-P : 3 mm² N3E
Lion Cove : 4.5 mm² N3B
Zen 5 : 4.15 mm² N4P

Lion Cove has a 2.5 MB private L2 cache. But I am pretty sure that even if we subtract the L2 area, Lion Cove will be bigger than M4 P-core. Speaks a lot about how bloated Intel's Cove designs are. (And Lion Cove is even on the slightly denser N3B node!)
LNC large area probably has to do with higher clocks as well. It's 5.7Ghz vs 4.5 on M4
 
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FlameTail

Diamond Member
Dec 15, 2021
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Fun Fact: Lunar Lake has more cache than M4
M4LNL
CPU4P
4E
4P
4LPE
L0dN/A
N/A
48 KB × 4
N/A
L1d128 KB × 4
64 KB × 4
192 KB × 4
32 KB × 4
L1i192 KB × 4
128 KB × 4
64 KB × 4
64 KB × 4
L216 MB shared
4 MB shared
2.5 MB × 4
4 MB shared
L3N/A12 MB shared
SLC8 MB8 MB
Total 30 MB35.6 MB
 

FlameTail

Diamond Member
Dec 15, 2021
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SoC area comparison (Measurements my own).

ScrewThatDog.jpg

Notes
- Lunar Lake and M4 are on 3nm, whereas X Elite and Strix Point are on 4nm. So areas are not directly comparable between them.
- All numbers are in mm²
- Cores area with asterisks (*) include the private L2 cache
- Lunar Lake SoC area is the N3B Compute Tile
- Apple M4 NPU area is suspiciously small, but I have double checked with their iPhone SoCs, and they also have ~5 mm² NPUs

Sources
-
Lunar Lake and Strix Point die shot annotations by Nemez
- M4 die shot annotation by Frederic Orange
- X Elite dieshot annotation by Piglin
 
Last edited:

Thunder 57

Diamond Member
Aug 19, 2007
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Cb 2024 1T score? Also the first x86 core with traditional 8 wide decode

I'd love to see how much that 8 wide decode helps. AMD's 2x4 decode seems to be very much throughput first and I think that is why it disappointed many in gaming. I wonder how a mythical 6 wide decode would've done. Probably more balanced between client/server, but we know where the money is.

Maybe C&C will have an article on Lion Cove about it, if there isn't already.
 

DavidC1

Platinum Member
Dec 29, 2023
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Now if only someone slaughetered a poor poor Turin-D ES to find out Z5c@N3e area.
You don't need to. We know SP6 sizes and AMD has a Turin-D shot.

I measured 1.9mm2 for 5c 3nm without L2 cache. It's only slightly smaller than N4. Likely 512-bit FP is the difference.

@poke01
It would be so hard for ARM even with Apple cores to be good at gaming. There is so much optimisation that goes into x86 in terms of software for games.
I'm talking about a theoretical x86 core that has M4 level performance.
 

DavidC1

Platinum Member
Dec 29, 2023
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Yeah but the CCD has a really weird(tm) aspect ratio, making any non-dieshot measurements poo.
https://www.amd.com/content/dam/amd/en/images/products/data-centers/2909511-amd-zen5c-chip.png

Seems pretty good to measure with to me.
Cb 2024 1T score? Also the first x86 core with traditional 8 wide decode.
So the P core team spent too much resources and time on something that didn't bring them lot of performance. No balance in design. I bet they could have kept it 6-wide and got the same performance. Could have ended up 5-10% smaller in core and improve TTM.
 
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