While the increase in VRAM capacity may seem promising, expectations for significant performance enhancements should be tempered. This is largely due to the absence of substantial upgrades in other areas.
Leaked Benchmarks Reveal Laptop RTX 5070 12 GB Matches 8 GB in Various Tests
The GeForce RTX 5070 graphics card continues to gain traction among gamers and professionals alike. In response to surging demand and ongoing GPU shortages, NVIDIA has announced a new version of the RTX 5070 for mobile devices, now featuring 12 GB of VRAM integrated with 3 GB GDDR7 memory modules. In contrast, the standard RTX 5070 laptop GPU currently offers only 8 GB of GDDR7 memory. Unlike its desktop counterpart, this mobile variant presents a less prominent chip, impacting its performance capabilities.
This newly released RTX 5070 variant increases VRAM from 8 GB to 12 GB, ostensibly providing an extra 4 GB of memory dedicated to demanding applications and gaming scenarios. However, preliminary benchmarks suggest that the performance of the 12 GB model does not surpass that of the 8 GB variant. Insights shared by @unikoshardware indicate that these early results, sourced from a variety of platforms, are also available on Baidu, giving an early impression of the GPU’s performance before its official market release.

The synthetic benchmark results reveal that the performance of the 12 GB RTX 5070 laptop GPU is largely on par with that of the 8 GB edition. Specifically, both models exhibit similar performance in Time Spy tests, with the 12 GB variant being 2% slower in Fire Strike Extreme, but matching the 8 GB performance in Steel Nomad Light, as well as in Superposition 1080p Extreme. Indications are that gaming performance will not differ significantly between these two variants as well.

When it comes to AI-centric tasks, the performance of both GPU models aligns closely in tests like Qwen 3.5 9B Q40. However, the 12 GB variant significantly outshines the 8 GB model in the 27B UD IQ2 assessment, capitalizing on the increased VRAM capacity. AI applications typically require more memory, and the 50% increase in VRAM becomes advantageous in these scenarios. Nevertheless, for gaming applications, the two variants remain functionally equivalent, as both utilize the same GB206 die with 4608 CUDA cores, a 128-bit memory bus, and a memory bandwidth of 384 GB/s.
It is essential to note that the introduction of the new 12 GB GPU does not signify the obsolescence of the 8 GB model; both will be available in the marketplace moving forward. However, devices featuring the upgraded variant may come at a higher price point.
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