Quadro P5000 vs RTX 3060

FP32 dense performance of 12.7 TFLOPS on the RTX 3060 exceeds the 8.9 TFLOPS dense rating of the Quadro P5000 by a ratio of roughly 1.43 to 1. This gap translates into shorter iteration times during training loops that rely on single precision arithmetic. Memory bandwidth of 360 GB/s on the RTX 3060 versus 288 GB/s on the Quadro P5000 permits larger batch sizes before memory stalls occur during data movement. The 170 W TDP of the RTX 3060 remains lower than the 180 W TDP of the Quadro P5000 so sustained operation consumes less power per delivered FP32 dense operation. PCIe 4.0 interconnect on the RTX 3060 supports faster host to device transfers than the PCIe 3.0 link on the Quadro P5000 when datasets exceed on card capacity.

The Quadro P5000 becomes preferable when workloads require the full 16 GB of GDDR5X memory rather than the 8 to 12 GB range of the RTX 3060. Scientific computing jobs that hold large intermediate tensors benefit from this extra capacity even though FP32 dense throughput remains at 8.9 TFLOPS. The card also suits environments that retain legacy PCIe 3.0 infrastructure without upgrade plans.

Inference pipelines and fine tuning sessions finish faster under these specifications while drawing only 170 W. Newer PCIe 4.0 connectivity further reduces transfer overhead when moving models between host and device.