RTX 2070 vs RTX 4060

The FP32 dense rating of 15.1 TFLOPS on the RTX 4060 exceeds the 7.5 TFLOPS dense rating on the RTX 2070 by a factor of two. This difference supports faster execution of general matrix operations during both training and inference workloads. The RTX 2070 supplies an FP16 dense rating of 29.9 TFLOPS that has no direct published counterpart on the RTX 4060. Memory bandwidth of 448 GB/s on the RTX 2070 versus 272 GB/s on the RTX 4060 influences the maximum batch sizes that fit within sustained data movement limits. Lower TDP of 115 W on the RTX 4060 compared with 175 W on the RTX 2070 reduces power draw per delivered FP32 dense TFLOPS. The INT8 dense rating of 119.4 TOPS on the RTX 2070 provides a concrete figure for integer workloads where the RTX 4060 lists no published equivalent.

The RTX 2070 suits workloads that require the published FP16 dense rating of 29.9 TFLOPS or the INT8 dense rating of 119.4 TOPS. Its memory bandwidth of 448 GB/s supports larger sustained data transfers than the 272 GB/s available on the RTX 4060. Scenarios that benefit from these exact published tensor figures favor the RTX 2070 over alternatives with lower bandwidth.

The RTX 4060 suits workloads that require the published FP32 dense rating of 15.1 TFLOPS or the FP8 rating of 242 TFLOPS with sparsity. Its TDP of 115 W delivers these figures at lower power than the 175 W TDP of the RTX 2070. Newer interconnect support through PCIe 4.0 further aligns the RTX 4060 with systems that exploit that standard.