RTX 2080 SUPER

RTX 2080 SUPER Review & Specifications

The RTX 2080 SUPER is based on the Turing architecture and manufactured using the 12 nm process node. It was launched approximately 6 years, 11 months ago, originally priced at $699. It features 3072 cores, including 22 compute units (SMs), 192 texture mapping units (TMUs), and 64 render output units (ROPs). For ray tracing and AI-accelerated tasks, it also includes 48 dedicated RT cores and 384 Tensor cores, enabling advanced rendering and upscaling features where supported. It has a base clock of 1650 MHz and a boost clock reaching up to 1815 MHz. The RTX 2080 SUPER comes equipped with 8 GB of GDDR6 memory across a 256-bit bus. Memory runs at 1650 MHz and delivers a total memory bandwidth of 496 GB/s.

This GPU has a moderate thermal design power (TDP) of 250 W. A PC case with good airflow and a quality power supply are required for stable operation. Due to the moderate TDP, this GPU is suitable for small form factor builds with somewhat limited airflow.

RTX 2080 SUPER Performance

RTX 2080 SUPER is an entry-level graphics card with a relative gaming performance score of 33.85%. It performs well at 1080p and can handle 1440p with optimized settings or features like DLSS and FSR, though it's not suitable for 4K. Intended for for casual gamers or users who play occasionally on general-purpose PCs.

The RTX 2080 SUPER offers 8 GB of VRAM — a reasonable amount for its class. It performs well in 1080p gaming and modest 1440p workloads, though its lower compute performance may limit use of advanced settings or ray tracing. With support for DLSS, NVIDIA users can extend playability at higher resolutions. In creative tasks like photo editing or Full HD video, the GPU is adequate. Thanks to the NVIDIA ecosystem, this GPU is capable of basic AI experimentation, including inference with smaller models or quantized architectures — a good entry-level solution for developers interested in ML.

This GPU scores 35.4% on the performance-per-price scale, indicating low value. Given both its limited VRAM and modest performance, better options exist for most users.