Arc B580 vs GeForce RTX 4080 SUPER
A side-by-side readout for cuda / stream cores.
Understanding cuda / stream cores
CUDA cores are NVIDIA's general-purpose shader units. They handle raster rendering, compute, and general parallel workloads.
Cross-generation comparison
CUDA cores from different architectures (Ampere vs Ada vs Blackwell) are not equivalent — Blackwell cores deliver more work per clock thanks to architectural improvements. Within the same generation, CUDA count is a strong predictor of performance.
Related units
- Tensor Cores — accelerate matrix math for DLSS, ML inference.
- RT Cores — accelerate ray traversal.
- CUDA Cores — everything else (raster, general compute).
A modern RTX card lists all three. Tensor and RT counts scale roughly with CUDA count within a generation.
This matchupGeForce RTX 4080 SUPER's 10240 is roughly 300% higher than Arc B580's 2560 (a 7680 gap). Whether that gap is noticeable depends on workload — small percentage gaps rarely change day-to-day experience, while gaps of 20% or more usually do.
What is cuda cores?
NVIDIA's parallel shader processors. Each CUDA core executes one floating-point or integer operation per clock; total count is a rough indicator of raster throughput within a generation.
Read the full CUDA cores explainer →Other specs on this comparison
See the full Ekran Kartları category for all products ranked by Mars Score.