Arc B580

Arc B580 Review & Specifications

The Arc B580 is based on the Xe2 architecture and manufactured using the 5 nm process node. It was launched approximately 1 year, 6 months ago, originally priced at $249. It features 2560 cores, including 24 compute units (SMs), 160 texture mapping units (TMUs), and 80 render output units (ROPs). For ray tracing and AI-accelerated tasks, it also includes 20 dedicated RT cores and 160 Tensor cores, enabling advanced rendering and upscaling features where supported. It has a base clock of 2670 MHz and a boost clock reaching up to 2670 MHz. The Arc B580 comes equipped with 12 GB of GDDR6 memory across a 192-bit bus. Memory runs at 2375 MHz and delivers a total memory bandwidth of 456 GB/s.

This GPU has a low thermal design power (TDP) of 190 W. It is generally compatible with almost all PC cases and is excellent for SFF and compact systems where heat dissipation is a concern.

Arc B580 Performance

Arc B580 is an entry-level graphics card with a relative gaming performance score of 32.62%. 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 Arc B580 has a moderate VRAM size of 12 GB, which aligns well with its performance class. It is well-suited for 1080p gaming at high settings and 1440p gaming at medium to high settings, depending on the game’s optimization and graphics demands. While capable in rasterized workloads, enabling ray tracing at higher resolutions can quickly consume available VRAM and reduce performance. Upscaling technologies like DLSS or FSR can help improve frame rates, but may come with a noticeable reduction in visual quality. The VRAM capacity is adequate for light to moderate content creation tasks, such as editing Full HD or QHD video, working with smaller assets in 3D environments, and using tools like Photoshop or Premiere Pro for general workloads. In the context of AI and machine learning, this GPU can handle lightweight inference tasks and basic model training. However, users working with large datasets or complex architectures may find the memory insufficient, leading to slowdowns or compatibility issues. This GPU remains a good option for gamers, casual creators, and students exploring AI.

Arc B580 provides excellent value at 82.9% efficiency. While its gaming performance is modest, it can still be a cost-effective solution for users with limited demands.