NVIDIA GeForce GTX 1070 Ti benchmarks begin to leak

GTX 1070 Ti caught in leaked benchmarks, will carve Vega 56 into pieces.

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NVIDIA is reportedly less than two weeks away from releasing their new GeForce GTX 1070 Ti, a new graphics card that is going to literally be like a bomb being dropped on AMD, and more specifically against their still fresh Radeon RX Vega 56 graphics card.

NVIDIA GeForce GTX 1070 Ti benchmarks begin to leak | TweakTown.com

AMD's new Radeon RX Vega 56 is the more compelling Vega-based graphics card out of the three launched (RX Vega 56/64/64 LCE), but NVIDIA is prepared to completely demolish Vega 56 with the new GTX 1070 Ti. Now we have some leaked benchmarks to share, with numbers coming out of Ashes of the Singularity.

The benchmarks show that the GTX 1070 Ti will compete with the GTX 1080 in some games and resolutions, powered by the GP104-300 GPU. We have 19 SMs, compared to the full GP104 with 20 SMs. We have 7.2 billion transistors, 2432 CUDA cores, 152 TMUs, 64 ROPs, and 8GB of GDDR5 memory. The big difference between the GTX 1070 Ti and GTX 1080 is that the latter has GDDR5X RAM, which will make a big difference to performance.

NVIDIA's new GeForce GTX 1070 Ti will reportedly not overclock at all, with no dynamic boost over the stock specs. This is something that NVIDIA has built into the GTX 1070 Ti so that it doesn't completely gobble up the GTX 1080 and make it a useless graphics card for gamers. AMD on the other hand, will see their Radeon RX Vega 56 disappear into the night.

NEWS SOURCE:wccftech.com

Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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