AMD Radeon RX Vega 9 vs NVIDIA Quadro P4000

AMD Radeon RX Vega 9

The AMD Radeon RX Vega 9 is an integrated GPU for notebooks. It is used for the Ryzen 5 APUs, which were launched in the end of 2019. The GPU is based on the Vega architecture (5th generation GCN) and has 9 CUs (= 576 of the 704 shaders) clocked at up to 1300 MHz (Ryzen 5 3580U). The performance depends on the configured TDP (12-25 W at launch), the clocks, the cooling, and the memory configuration). The GPU should benefit from fast dual-channel DDR4-2400 RAM (contrary to DDR4-2133 single-channel, which is also possible).

The Vega architecture offers some improvements over the Polaris generation and now supports DirectX 12 Feature Level 12_1. More information is available in our dedicated article about the Raven Ridge architecture.

The performance of the integrated graphics card should be between the Vega 8 and Vega 10. Therefore, demanding games like Control or Borderlands 3 should be playable in lowest settings and 720p. Less demanding games like Fifa 20 or League of Legends can be played fluently in 1080p and highest settings. See e.g. our Vega 8 page for additional benchmarks.

Thanks to the 14nm process and clever power-saving features, the power consumption is comparatively low (according to AMD), so the graphics card can also be used for slim and light notebooks.

NVIDIA Quadro P4000

The Nvidia Quadro P4000 is a mobile high-end workstation graphics card for notebooks. There is currently no consumer counterpart and the GPU is sitting between the Quadro P3000 (GTX 1060) and Quadro P5000 (GTX 1070). It is equipped with 1792 shaders and should therefore use the same GP104 chip from the P5000 (2048 shaders). It has 8 GB GDDR-VRAM at the same bandwidth and has the similar 100-Watt TGP according to Nvidia.

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.