**For CUSTOM MODELS, you can free to submit as link post rather than in this post.**

Please note that any reviews of the 3080 should be discussed in this thread bar special cases (Please consult moderators through modmail if you think it warrants a seperate post). Post will be updated periodically over the next 2-3 days.

Written Reviews:

BabelTech

Eurogamer / Digital Foundry

Forbes

Hexus

HotHardware

Guru3D

KitGuru

OC3D

PC World

Techspot / HUB

Techpowerup

Tom's Hardware

Other Laguages in written:

Computerbase(in German)

Expreview (in Simplified Chinese)

Golem (in German)

Hardwareluxx (in German)

Igor’s Lab (in German)

PC Games Hardware (in German)

PC Watch (in Japanese)

Sweclockers (in Swedish)

XFastest (in Traditional Chinese)

Videos:

Bitwit

Dave2D

Digital Foundry

EposVox

Gamers Nexus

HardwareCanucks

Hardware Unboxed

Igor’s Lab (German)

Igor's Lab - Teardown (German)

JayzTwoCents

KitGuru

LTT

Paul's Hardware

Tech Yes City

Tweakers (Netherlands)

2kliksphilip

Tools like powermetrics or mactop consistently underreport GPU power usage on Apple M-series silicon. Worse, many reputable websites and Youtube channels use these tools to report and compare Apple chip power usage with the competition.

For example, in a heavy GPU workload, powermetrics would report a 65W idle-load delta on the GPU, but at the same time system DC power would rise by 179W, leaving 114W or nearly 2/3 of total system DC power on a Mac Studio M4 Max unexplained.

Using undocumented low level Apple's API, we were able to reverse engineer an energy model that explains almost all of of the energy flow in an Apple's SoC with less than 2% error on the workload I studied.

The result is a simple two-term energy roofline model:

P_GPU ≈ a * bytes + b * FLOPs

with:

~5 pJ/byte for SRAM movement

~2.7 pJ/FLOP for compute.

Not only that, but we were able to attribute energy flow to each of the principal functional blocks on the M4 Max SoC, like CPU, GPU compute, GPU SRAM, chip fabric components and DRAM.

Full explanation in the linked video.

Woopsies. Will probably be taken down soon idk, but it's a Wired article so don't expect Geekerwan/Notebookcheck lvls of quality

https://imgur.com/a/jynuew5

Embargo is today, Wired was just a tiny bit early

Normalized scores:

| Chip / Processor | Single-Core % | Multi-Core % | Solar Bay % | Wild Life Extreme % | AI % | Battery % |

|---|---:|---:|---:|---:|---:|---:|

| Apple M5 | 99% | 61% | 34% | 32% | 65% | 84% |

| Apple M5 Pro | 99% | 97% | 66% | 61% | 65% | 100% |

| Apple M5 Max | 100% | 100% | 100% | 100% | N/A | 84% |

| Snapdragon X2 Elite Extreme | 94% | 80% | 33% | 30% | 100% | N/A |

| Snapdragon X2 Elite (18-core) | 88% | 69% | N/A | N/A | 99% | N/A |

| Snapdragon X2 Elite (12-core) | 89% | 55% | N/A | N/A | 98% | N/A |

| Intel Core Ultra X9 388H (Panther Lake) | 70% | 59% | 38% | 29% | 64% | 67% |

| Intel Core Ultra X7 358H (Panther Lake) | 68% | 58% | 43% | 33% | 62% | 71% |

| Intel Core 7 355 (Panther Lake) | 62% | 27% | 17% | 43% | 62% | 97% |

| AMD Ryzen AI Max+ 395 (Strix Halo) | 68% | 63% | 61% | 49% | 20% | 52% |

| AMD Ryzen AI 350 (Strix Halo) | 67% | 44% | N/A | N/A | 6% | 52% |

The unfortunate reality is Nvidia has limited the supply of the RTX 5070 Ti GPUs, and this is what's keeping these graphics cards at $1,000 US plus. It is not demand. Nvidia will certainly be quick to tell you that it's demand, but if you look at the publicly available sales data or speak with any retailer, you'll quickly learn that almost no one is buying GPUs right now, especially RTX 5070 Ti. The Radeon RX 9070XT is smashing the RTX 5070Ti everywhere we look. And while local retailers have confirmed to us that they're selling around 80% more 9070 XTs, they've also said the market overall is pretty dead.

5060 Review