llamaperf

AMD RX 6800 16GB

AMD · 16GB · 1 report

Engines people use on it: llama.cpp 1 (reports)

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Reported performance on the AMD RX 6800 16GB

These reports mix GPU counts and memory setups, so a model listed here may have needed extra cards or CPU offloading. The calculator estimates which models fit in 16 GB of VRAM.

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Qwen3.8 27B

2× AMD RX 6800 16GB · llama.cpp · 131,072 ctx

AMD hardware
generation:
45.0 tokens/s
quant:
IQ4_XS

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

User runs Qwen3.8 27B IQ4_XS at 131k context on two RTX 2060 12GB cards, 24 GB total, and gets about 45 t/s. Setup is llama.cpp. User asks whether an upgrade to an RX 6800 16GB plus an RX 6800 XT 16GB, 32 GB total, would improve performance and how ROCm and Vulkan support compare.

Sep 9, 2026

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Reported configurations

Individual observations from this page, not expected speeds or a ranking. Select a model to open its report, with the source and offloading conditions. Reported context may be a limit rather than actual input length.

Model / hardwareQuant / engineReported contextGeneration
Qwen3.8 27B
2× AMD RX 6800 16GB
IQ4_XS
llama.cpp
131,07245.0 tokens/s