RTX 5060 vs RTX 5080

The FP32 performance of the RTX 5080 at 56.3 TFLOPS exceeds the 19.2 TFLOPS of the RTX 5060 and therefore supports greater throughput in general matrix operations. FP4 performance with sparsity reaches 1801 TFLOPS on the RTX 5080 and 614 TFLOPS on the RTX 5060 so the larger figure permits faster low precision calculations when sparsity applies. Memory bandwidth of 960 GB/s on the RTX 5080 versus 448 GB/s on the RTX 5060 allows larger batch sizes during memory bound stages. The dense FP16 figure of 112.6 TFLOPS on the RTX 5080 stands at twice its own 56.3 TFLOPS FP32 value and therefore doubles throughput for compatible dense operations.

Choose the RTX 5060 for small models, single user inference, or development work where you need a Blackwell card with up to 16 GB and are not chasing throughput. Make sure the offer is the 16 GB configuration, because the 8 GB version fits very little. At 448 GB/s expect roughly half the token rate of the RTX 5080 on the same model.

Choose the RTX 5080 for anything you will run for hours: fine tuning, batch inference, image generation at scale. Its 56.3 TFLOPS FP32, 112.6 TFLOPS dense FP16 and 960 GB/s bandwidth are roughly two to three times the RTX 5060 across the board, so the same job finishes in a fraction of the time. The 16 GB ceiling is identical on both, so if your model does not fit here it does not fit on either.