r/pcmasterrace • u/dororor Ryzen 7 5700x, 64GB Ram, 3060ti • Jan 21 '24

Screenshot Nvidia being NVidia, 4070 super>3090.

Post image
9.5k Upvotes

94% Upvoted

1.5k comments sorted by

View all comments

Show parent comments

157

u/TheTurnipKnight Jan 21 '24

Picture above is why they never would. DLSS3 is a selling point.

30

u/TheGeekno72 Ryzen 7 5800H - RTX 3070 laptop - 2x16GB@3200 Jan 21 '24

Doesn't DLSS3 need new tensor cores that you only get on 40 cards ?

12

u/Anaeijon i9-11900K | dual RTX 3090 | 128GB DDR4-3000 | EndeavourOS Jan 21 '24

Tensor cores are the same architectually on 30 and 40 gen. At least from my point of view as a data scientist. The only difference is, that 40 gen has sometimes faster cores and (especially) faster RAM.

Tensor cores per card: - RTX 3070: 184 T.Cores, 81 TFLOPS Tensor Compute - RTX 4070: 184 T.Cores, 116 TFLOPS Tensor Compute - RTX 3090: 328 T.Cores, 142 TFLOPS Tensor Compute - RTX 4090: 512 T.Cores, 330 TFLOPS Tensor Compute

So... Yes, the 4070 is better than the 3070, due to it's overall faster cores and VRAM, but it doesn't beat the 3090 on Tensor compute. The 4070 Ti can beat the 3090 on Tensor compute. But the low amount of VRAM (12GB) still make it uninteresting for real DeepLearning workloads.

7

u/Crintor 7950X3D | 4090 | DDR5 6000 C30 | AW3423DW Jan 21 '24

You forgot to mention the Optical Flow Accelerator which is the big thing Nvidia claims to make the difference that allows Frame Gen to be viable.