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NVIDIA GeForce RTX 4080 Laptop GPU Features 7424 CUDAs, +42% Over Predecessor
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NVIDIA GeForce RTX 4080 Laptop GPU Features 7424 CUDAs, +42% Over Predecessor

by Low Boon ShenDecember 28, 2022
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NVIDIA GeForce RTX 4080 Laptop GPU Features 7424 CUDAs, +42% Over Predecessor

A Geekbench entry courtesy of one yet-to-be-released Acer Predator laptop shows sizeable performance uplift over RTX 3080 Laptop GPU.

NVIDIA GeForce RTX 4080 Laptop GPU Features 7424 CUDAs, +42% Over Predecessor 32

Source: Videocardz (Geekbench)

The laptop in question, codenamed “PH16-71” is seen paired with Intel’s upcoming flagship-class Core i9-13900HX CPU and the GPU in question is listed as “NVIDIA GeForce RTX 4080 Laptop GPU”. The GPU features 12GB of VRAM – a much-needed upgrade over the predecessor’s 8GB with games increasingly reaching the limits of available capacity. That in turn should translate to a bus width of 192-bit (384-bit is extremely unlikely due to RTX 4090 Laptop likely having 256-bit, plus the extra L2 cache is more lenient on VRAM bandwidth requirements).

NVIDIA GeForce RTX 4080 Laptop GPU Features 7424 CUDAs, +42% Over Predecessor 33

RTX 4080 Laptop GPU OpenCL score. Source: Videocardz (Geekbench)

This GPU is said to feature a GA104 die, with 7,424 CUDA cores (58 SMs) on tap. In this particular benchmark, the GPU is seen clocked at 2.01GHz. The OpenCL test produced 178,038 points for the 4080 – while not necessarily reflected in gaming performance, we see a 30% improvement over NVIDIA’s current-best offering, the RTX 3080 Ti Laptop GPU, at 136,008 points. The lead extends to 42% when compared against its direct predecessor, the RTX 3080 Laptop GPU.

The RTX 40 Laptop GPU series is expected to be revealed in the upcoming NVIDIA CES 2023 “GeForce Beyond” keynote on Jan 3, 2023.

Source: Videocardz

Pokdepinion: Knowing how powerful RTX 40 is on high resolution gaming, expect RTX 4080 to get quite a jump in performance on 1440p+ gaming.

About The Author
Low Boon Shen
Is technology powered by a series of tubes?
1 Comments
  • Steve
    August 6, 2023 at 4:04 am

    Try using damn CUDA, will see how Nvidia is selling a “Racing Car ” sitting in the system (over-expensive & overpriced) that u cant use but u have pay for it !

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