Intel UHD Graphics 32EUs (Alder Lake) vs NVIDIA Quadro RTX 6000 (Laptop) vs NVIDIA T500 Laptop GPU

The Nvidia Quadro RTX 6000 for laptops is a professional high-end graphics card for big and powerful laptops and mobile workstations. It is based on the same TU102 chip as the consumer GeForce RTX 2080 Ti. Compared to the desktop RTX 6000, the mobile variant offers lower clock speeds.

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.

Features

NVIDIA manufacturers the TU102 chip on a 12 nm FinFET process and includes features like Deep Learning Super Sampling (DLSS) and Real-Time Ray Tracing (RTRT), which should combine to create more realistic lighting effects than older GPUs based on the company's Pascal architecture (if the games support it). The Quadro RTX 6000 is also DisplayPort 1.4 ready, while there is also support for HDMI 2.0b, HDR, Simultaneous Multi-Projection (SMP) and H.265 video en/decoding (PlayReady 3.0).

Performance

Due to the lower clock speeds, the mobile RTX 6000 lags slightly behind the desktop version with the same name. Nvidia states for example that a desktop system using the RTX 6000 is on average 13% faster in the SPECviewperf13 4k benchmark.

Due to the extremely high power consumption of 200 Watt (TDP), the mobile Quadro RTX 6000 needs an excellent cooling solution and will be used only in big laptops.

The Nvidia T500 Mobile (formerly known as Quadro T500) for laptops is a professional mobile graphics card that is based on the Turing architecture (TU117 chip). It is based on the consumer GeForce MX450 and features the same 896 cores and a 64 Bit memory bus. Currently it is available with 2 or 4 GB graphics RAM (GDDR5 or GDDR6). The TDP ranges between 18 - 25 Watt depending on the variant. As the MX450, the T500 also supports PCIe 4.0. The chip is manufactured in 12nm FinFET at TSMC. 

The Turing generation did not only introduce raytracing for the RTX cards, but also optimized the architecture of the cores and caches. According to Nvidia the CUDA cores offer now a concurrent execution of floating point and integer operations for increased performance in compute-heavy workloads of modern games. Furthermore, the caches were reworked (new unified memory architecture with twice the cache compared to Pascal). This leads to up to 50% more instructions per clock and a 40% more power efficient usage compared to Pascal. In contrary to the faster Quadro RTX cards, the T500 does not feature raytracing and Tensor cores.