DELL PRECISION M7730 7730 GRAPHIC CARD NVIDIA QUADRO P5200 16GB – K0WNR

Nvidia Quadro P5200

The Nvidia Quadro P5200 is a mobile high-end workstation graphics card for laptops. Similar to the consumer GeForce GTX 1080 (Laptop), it is based on a GP104 chip with 2560 shaders but uses a bit slower GDDR5 instead of GDDR5X of the GTX1080. The Quadro P5200 ist the successor to the Quadro P5000. There will be a normal (Max-P) and a slower but more efficient (Max-Q) variant of the card. For the Max-P variant, the clock speeds are specified from 1556 (base) to 1746 MHz (Boost), the power efficient Max-Q clocks from 1316 MHz (base) to 1569 (Boost) according to a GPU-Z screenshot from a reader (-15% / -10%). The 16 GB GDDR5 are clocked at 3,6 GHz leading to a memory bandwidth of 230 GB/s.

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 theoretical performance should be a bit above the older Quadro P5000. Altough the clock speed increase is not yet known, the power consumption is rumored to be a lot higher, which should lead to a noticable improved performance. Nvidia specifies a theoretical peak performance of 8,9 GFLOPS (Single Precision).

Power Consumption

The power consumption of the Quadro P5200 is specified by Nvidia as 150 Watt (Max-P) and rumored to be 100 – 110 Watt for the Max-Q variant. Therefore, it is a lot higher than the Quadro P5000 versions (100 Watt and 80 Watt).

Manufacturer Nvidia
Quadro P Series
Quadro P5200 2560 @ 1316 – 1569 (Boost) MHz 256 Bit @ 7216 MHz
Architecture Pascal
Pipelines 2560 – unified
Core Speed 1316 – 1569 (Boost) MHz
Memory Speed 7216 MHz
Memory Bus Width 256 Bit
Memory Type GDDR5
Max. Amount of Memory 16384 MB
Shared Memory no
Directx Directx 12_1, Shader 5.0
technology 16 nm
Features Optimus, PhysX, 3D Vision Pro, nView, Optimus
Notebook Size large