Arc B770 vs GeForce RTX 5080
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 5080's 10752 is roughly 163% higher than Arc B770's 4096 (a 6656 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
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