llama.cpp on the AMD MI50 16GB
llamaperf has 4 llama.cpp reports on the AMD MI50 16GB, none of them a plain single-card run with a model size and quant, so there is no median to quote. The reports are listed below with how each one ran.
4 llama.cpp reports on the AMD MI50 16GB
Newest first. A run on several cards, with speculative decoding, with part of the model in system RAM or with batched requests says so, since each describes a different setup.
- Qwen3.6 35B · 3B active · Q5_K_XL49.2 t/s(2 cards)
- Qwen3.8 27B · Q4_048.0 t/s(2 cards, speculative decoding)
- Qwen3.8 27B · Q8_030.1 t/s(3 cards)
- Qwen3.8 125B · 6B active · IQ416.9 t/s(part in system RAM)
Frequently asked
How fast is llama.cpp on the AMD MI50 16GB?
llamaperf has 4 llama.cpp reports on the AMD MI50 16GB, none of them a plain single-card run with a model size and quant, so there is no median to quote. The reports are listed below with how each one ran.