Quadro RTX 5000 vs RTX 4070

Dense FP16 performance reaches 89.2 TFLOPS on the Quadro RTX 5000 and 58.3 TFLOPS on the RTX 4070, so the Quadro RTX 5000 supplies a higher dense FP16 rate by the ratio of 89.2 to 58.3. The RTX 4070 adds a sparse FP16 rate of 116.6 TFLOPS that has no counterpart listed for the Quadro RTX 5000. FP32 throughput of 29.1 TFLOPS on the RTX 4070 exceeds the 11.2 TFLOPS figure on the Quadro RTX 5000 by more than double, which shortens dense matrix operations during training. Memory bandwidth of 504 GB/s on the RTX 4070 exceeds the 448 GB/s figure on the Quadro RTX 5000 and therefore supports modestly larger batch sizes before memory stalls occur. Dense INT8 throughput stands at 178.4 TOPS on the Quadro RTX 5000 and 233.2 TOPS on the RTX 4070.

The Quadro RTX 5000 suits workloads that require the full 16 GB VRAM allocation without reliance on sparsity features. Its 89.2 TFLOPS dense FP16 rating exceeds the corresponding dense rating of the RTX 4070, which favors precision-sensitive inference steps that stay within dense arithmetic.

The RTX 4070 suits workloads that benefit from its 29.1 TFLOPS FP32 rating and 504 GB/s bandwidth. Its 200W TDP also reduces power draw relative to the 230W TDP of the Quadro RTX 5000 while still delivering 233.2 TOPS dense INT8.