AMD Radeon Pro Vega 20 vs NVIDIA Quadro P3200 vs NVIDIA Quadro P620

AMD Radeon Pro Vega 20

The AMD Radeon Pro Vega 20 is a dedicated graphics card for laptops. It was introduced as an option to the 2018 MacBook Pro. The graphics card offers 20 CUs (1,280 shaders) and 4 GB HBM2 memory. The performance should be on a level with the Radeon RX Vega M GL (also 1,280 shaders) and therefore between a Nvidia GeForce GTX 1050 and 1050 Ti.

NVIDIA Quadro P3200

The Nvidia Quadro P3200 is a mobile high-end workstation graphics card for notebooks. As the slightly faster Quadro P4000, it is based on the GP104 chip and uses 1792 CUDA cores. The memory bus however is slightly narrower at 192 versus 256 Bit. The clock rate should be similar, as Nvidia also specifies 5.3 TFLOPs of peak performance.

The Quadro GPUs offer certified drivers, which are optimized for stability and performance in professional applications (CAD, DCC, medical, prospection, and visualizing applications). The performance in these areas is therefore much better compared to corresponding consumer GPUs.

Performance

The performance should be slightly below the older Quadro P4000, due to the same peak performance of the shaders but a slower memory bus. Compared to the old Quadro M3000M, the P3200 should offer a 93% better overall performance in SpecViewPerf 12.

Power Consumption

The power consumption of the Quadro P3200 is 75 Watts TGP (including memory)  and therefore similar to the Quadro P3000.

NVIDIA Quadro P620

The Nvidia Quadro P620 is an entry-level mobile workstation graphics card for laptops. It uses a GP107 Pascal chip with a 128 Bit memory bus and therefore similar to the old Quadro P1000 with reduced clock speeds. Compared to consumer cards, there is no similar specified card currently and therefore the P620 slots in between the GeForce MX250 and GTX 1050. With a theoretical peak of 1.5 TFLOPS, the performance is clearly ahead of the old P600 with 1.2 TFLOPS.

The Quadro GPUs offer certified drivers, which are optimized for stability and performance in professional applications (CAD, DCC, medical, prospection, and visualizing applications). The performance in these areas is therefore much better compared to corresponding consumer GPUs.