AMD Radeon 880M (Strix Point iGPU)
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AMD's 880M iGPU (Ryzen AI 300 series Strix Point). RDNA 3.5 with LPDDR5x-7500 unified memory — bandwidth jump from 780M (89 → 102 GB/s). ~8-15 tok/s on 7B Q4. Pairs with the dedicated XDNA 2 NPU for hybrid CPU+NPU+iGPU inference experiments.
Sub-scores sum to 189 / 1000. Headline = 189 × 0.70 (Estimated-confidence discount) = 132. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →
Extrapolated from 102 GB/s bandwidth — 10.2 tok/s estimated. No measured benchmarks yet.
Plain-English: Doesn't fit modern chat models usefully — vision models won't fit.
Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.
The AMD Radeon 880M is for the operator who needs a unified memory laptop that can run small local models without a discrete GPU, and who values power efficiency over throughput. This iGPU handles 7B Q4 models at 8-15 tok/s, enough for interactive chat with acceptable latency, and can manage 3B models at 20-30 tok/s. The 102 GB/s bandwidth and shared system memory mean larger models like 13B Q4 (~9 GB) will run at 5-8 tok/s, and anything above 13B is impractical due to VRAM constraints. ROCm support is present but experimental on iGPUs, so expect driver quirks. Pass on this card if you need to run 13B+ models at usable speeds, or if you require stable, well-documented GPU compute—a used RTX 3060 12GB will outperform it significantly. As an iGPU, the 880M has no standalone price; its value is tied to the laptop's total cost, making it a decent choice for portable inference but not a dedicated AI workhorse.
›Why this rating
The 880M offers a unique low-power unified memory solution for small models, but its limited bandwidth and VRAM cap its usefulness to entry-level workloads. It earns a middling score because it fills a niche for ultraportable inference but is easily outperformed by cheap discrete GPUs.
Overview
AMD's 880M iGPU (Ryzen AI 300 series Strix Point). RDNA 3.5 with LPDDR5x-7500 unified memory — bandwidth jump from 780M (89 → 102 GB/s). ~8-15 tok/s on 7B Q4. Pairs with the dedicated XDNA 2 NPU for hybrid CPU+NPU+iGPU inference experiments.
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Specs
| VRAM | 0 GB |
| Power draw (peak) | 28 W |
| Released | 2024 |
| Backends | ROCm Vulkan |
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Frequently asked
Does AMD Radeon 880M (Strix Point iGPU) support CUDA?
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Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.