NVIDIA GeForce GTX 1060 Max-Q vs NVIDIA Quadro P620

NVIDIA GeForce GTX 1060 Max-Q

The Nvidia GeForce GTX 1060 with the Max-Q design is a mobile high-end GPU from the Pascal series. It is designed for thin and light laptops and about 10-15% slower than a regular GTX 1060 for laptops based on the cooling capabilities. The base frequency (1063-1265 MHz) is also much lower than on the regular GTX 1060 (1506 MHz, at least -16%) and the Boost (1341-1480 MHz) is also much lower compared to 1708 MHz (at least -13%) for the regular GTX 1060. The memory clock, however, is identical.

The clock is not the only difference compared to the regular GTX 1060 though. The drivers for the Max-Q version were optimized for efficiency (and not performance; only for Max-Q models), there are optimized voltage converters for 1V operation, high-end cooling methods, and a 40 dB limit for the fan noise (with clock adjustments to ensure this at all times).

Features

The GP106 chip is produced in 16nm FinFET at TSMC and offers a range of new features, like DisplayPort 1.4 (ready), HDMI 2.0b, HDR, Simultaneous Multi-Projection (SMP) and improved H.265 video de- and encoding (PlayReady 3.0). A list of improvements and features can be found in our article on the Pascal architecture.

The power consumption of the Max-Q design is notably lower than the normal GTX 1060 for laptops and ranges between 60 and 70 Watt (TGP) according to Nvidia.

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.