NVIDIA GeForce RTX 4080 Laptop GPU – Ada Lovelace graphics chip for laptops appeared in the first performance test

Next week, NVIDIA at the special event “GeForce Beyond” will present both the desktop graphics card GeForce RTX 4070 Ti, as well as the new generation of mobile GeForce RTX 4000 Laptop GPUs, prepared for laptops. The manufacturer will present a total of five systems, including the GeForce RTX 4090 Laptop GPU and the GeForce RTX 4080 Laptop GPU. The latter appeared in the database of the popular GeekBench program, thanks to which we obtained some information about its specifications and performance.

NVIDIA GeForce RTX 4080 Mobile Graphics Laptop GPU was tested in GeekBench. It performs on average 40% better compared to the GeForce RTX 3080 Laptop GPU.

NVIDIA GeForce RTX 4000 Laptop GPU – New Details on Ada Lovelace TGP, Dynamic Boost and Boost Clocks

According to information published via GeekBench, the NVIDIA GeForce RTX 4080 graphics system The laptop GPU has 58 active SM blocks, which will ultimately translate into the presence of 7424 CUDA FP32 cores. The AD104 system used will therefore be slightly trimmed compared to the desktop equivalent in the form of the GeForce RTX 4070 Ti (60 SM, 7680 CUDA cores). GeekBench also confirms the information about 12 GB of VRAM, probably of the GDDR6 type. The system itself appeared in the Acer Predator Helios notebook, which was paired with an Intel Core i9-13900HX processor and 32 GB of RAM.

NVIDIA GeForce RTX 4000 Laptop GPU – Ada Lovelace Laptop Performance and Release Date Info

In the OpenCL test, the NVIDIA GeForce RTX 4080 Laptop GPU scored 178,038 points, an average of 40% higher than the GeForce RTX 3080 Laptop GPU with the Ampere GA104 core (6,144 CUDA cores). The new model from the Ada Lovelace family is also about 30% better than the current mobile flagship in the form of the GeForce RTX 3080 Ti Laptop GPU (GA103, also 7424 CUDA cores). However, GeekBench is governed by its own laws, and if the differences in favor of Ada Lovelace in games and software are even higher, we will get really efficient GPUs, where the transition from Ampere to Ada will be more noticeable than it was visible in the case of the transition from Turing to Turing architecture amps.

Source: GeekBench, VideoCardz