RTX 4080 vs RTX 5070

The RTX 4080 delivers 97.5 TFLOPS dense FP16 compared with 61.7 TFLOPS dense FP16 on the RTX 5070, producing a ratio of roughly 1.58 times higher dense FP16 throughput. The same pattern holds for sparse figures where the RTX 4080 reaches 195 TFLOPS with sparsity against 123.5 TFLOPS with sparsity. Higher dense FP16 capacity supports larger batch sizes during training and faster token generation during inference. Memory bandwidth of 717 GB/s on the RTX 4080 versus 672 GB/s on the RTX 5070 further influences achievable batch sizes when data movement limits throughput. FP32 performance follows the same ordering with 48.7 TFLOPS on the RTX 4080 against 30.9 TFLOPS on the RTX 5070.

The RTX 4080 suits workloads that require the full 16 GB VRAM together with 97.5 TFLOPS dense FP16. Its 717 GB/s bandwidth supports larger batches in memory intensive tasks. The 320 W TDP remains acceptable when maximum dense FP16 and FP32 throughput take priority over power efficiency.

The RTX 5070 suits deployments where 250 W TDP reduces operating cost and heat. Its PCIe 5.0 interconnect offers future compatibility even though dense FP16 remains at 61.7 TFLOPS. The card fits when VRAM demand stays within the 12 to 16 GB range and lower power draw matters more than peak dense FP16 throughput.