NVIDIA T550 Laptop GPU vs NVIDIA Quadro T1000 (Laptop) vs NVIDIA Quadro RTX 4000 (Laptop)

The Nvidia T550 Laptop GPU (formerly known as Quadro T550 Mobile) for laptops is a professional mobile graphics card that is based on the Turing architecture (TU117 chip). It is based on the consumer GeForce MX550 and features the same 1024 cores and a 64 Bit memory bus. The card offers 4 GB GDDR6 with a maximum bandwidth of 112 GB/s and no dedicated display outputs (iGPU display outputs used via Optimus). The chip is manufactured in 12nm FinFET at TSMC. 

The professional 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.

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 T550 does not feature raytracing and Tensor cores.

The Nvidia Quadro T1000 for laptops is a professional mobile graphics card that is based on the Turing architecture (TU117 chip). Compared to the consumer GTX 1650, the Quadro T1000 features less CUDA cores / shaders (768 versus 896). The Quadro T2000 uses the same TU117 chip, but features all 1024 cores (2x to the T1000) and is therefore significantly faster. 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 T1000 and T2000 don not feature raytracing and Tensor cores.