Chinese laptop manufacturer, MechRevo, reveals the performance results of the NVIDIA GeForce RTX 2050 GPU
MechRevo benchmark tests show an exciting discovery of NVIDIA’s underpowered laptop GPU in conjunction with the 3DMark Fire Strike benchmark tests. The current results find that the RTX 2050 is approximately 23% more efficient than the previous GeForce GTX 1650 and about 134% faster than the NVIDIA MX450. The RTX 2050 nearly delivers a similar performance compared to the company’s GeForce MX570. The MX570 is NVIDIA’s low-power discrete GPU designed for lightweight and thin laptops. The NVIDIA GeForce RTX 2050 is furnished with an Ampere GPU offering 2048 CUDA cores onboard. The design is identical to the NVIDIA GeForce MX570 and RTX 3050 GPUs. The significant difference is the memory size and width of the bus, which is restricted to 2GB and 64-bit, respectively. The lower amount of memory and bus size is the cause of the card’s limitations. GeForce RTX laptops are the ultimate gaming powerhouses with the fastest performance and most realistic graphics, packed into thin designs. Unleash the power of AI-powered DLSS and real-time ray tracing on the most demanding games and creative projects. Joining the lineup of GeForce RTX 20 series laptops is the GeForce RTX 2050. These new laptops feature RT Cores, Tensor Cores, and NVIDIA Encoder to enable our suite of features including ray tracing, DLSS, Reflex, and Broadcast, among others. The RTX 2050 also works seamlessly with Optimus technology to give you the perfect balance between long battery life and optimum performance. — NVIDIA company website MechRevo also furnished video encoding efficiency outcomes that showcase the FullHD and UltraHD screen resolutions. Interestingly enough, Intel Xe graphics, which offer 96 Execution Units, show an unfavorable performance comparison in all encoding tests provided by the Chinese laptop manufacturer. We should expect to see the NVIDIA RTX 2050 GPU begin to appear in laptops during the Spring of this year. News Sources: Momomo_US, ITHome
