Alleged NVIDIA AD106 GPU Tested in 3DMark and AIDA64

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Benchmarks and specifications of an alleged NVIDIA AD106 GPU have tipped up on Chiphell, although the original poster has since removed all the details. Thanks to @harukaze5719 on Twitter, who posted the details, we still get an insight into what we might be able to expect from NVIDIA’s upcoming mid-range cards. All these details should be taken as is, as the original source isn’t exactly what we’d call trustworthy. Based on the data in the TPU GPU database, the GPU in question should be the GeForce RTX 4070 Mobile with much higher clock speeds or an equivalent desktop part that offers more CUDA cores than the RTX 4060 Ti. Whatever the specific AD106 GPU is, it’s being compared to the GeForce RTX 2080 Super and the RTX 3070 Ti.

The GPU was tested in AIDA64 and 3DMark and it beats the RTX 2080 Super in all of the tests, while drawing some 55 W less power at the same time. In some of the benchmarks the wins are within the margin of testing error, for example when it comes to the memory performance in AIDA64. However, we’re looking at a GPU connected to only half the memory bandwidth here, as the AD106 GPU only has a 128-bit memory bus, compared to 256-bit for the RTX 2080 Super, although the memory clocks are much higher, but the overall memory bandwidth is still nearly 36 percent higher in the RTX 2080 Super. Yet, the AD106 GPU manages to beat the RTX 2080 Super in all of the memory benchmarks in AIDA64.

Compared to the RTX 3070 Ti, things aren’t looking nearly as good, although the AD106 GPU still manages to win in a lot of the AIDA64 tests and even in a couple of the 3DMark benchmarks. The margins by which it won in 3DMark is within one to three percent, which isn’t much and if these results prove to be anywhere near the final performance of whatever retail name this AD106 GPU will get, then the upgrade path for midrange RTX 3000-series card owner, is going to be costly. However, for those sitting on an RTX 2000-series or older card, it might be interesting to see what NVIDIA delivers, assuming these mid-range GPUs get priced at somewhat sane lane levels, least not when it comes to power savings. Make what you want of these results, as there are too many unknown variables to draw any kind of conclusions from them.