inference/research
verifiedlow · 0.60updated 2026-10-17

Strix Halo 8060S ROCm 10.0 DeepSeek-V4-Flash-0731 UD-IQ2_XXS depth-0 prefill

216.9735 tok/s (per-request, concurrency 1)

Fields

id
benchmarks/llmb-8060s-rocm10-dsv4-flash-iq2xxs-d0-prefill
Metric
prefill_tok_s
Value
216.9735
Unit
tok/s (per-request, concurrency 1)
Model
DeepSeek-V4-Flash-0731 UD-IQ2_XXS
Methodology
Protocol deterministic-prime-extend-completions-v1, runner local-llm-speed v1, measured at the OpenAI-completions API endpoint. Mean of 2 repeats after 1 warmup. Concurrency 1, so the figure is per-request, not aggregate. Depth is the primed KV prefix; at depth 0 the whole prompt is computed (actual cached depth 0, recomputed history 0). Prefill is effective follow-up prompt processing: uncached tokens divided by client-observed time to first output. Decode is client-observed generation throughput over the tokens after the first, so TTFT is excluded. KV cache type default, speculative decoding off. Source: local-llm-benchmarks.dev/data/results.json. Run run-2eeb70f31a6c52f9, completed 2026-09-01. Engine llama.cpp 10.0, runtime ROCm 10.0. Container llama-rocm-10.0. Weights: unsloth/DeepSeek-V4-Flash-0731-GGUF file DeepSeek-V4-Flash-0731-UD-IQ2_XXS-00001-of-00003.gguf, quant UD-IQ2_XXS. Prompt 2048 tokens, 128 generated, primed depth 0.
Measured by
third_party
Reproducible
yes
notes
Older run: no llama.cpp commit recorded, only runtime 10.0. 284B-class MoE on 128GB unified memory.

Notes

Older run: no llama.cpp commit recorded, only runtime 10.0. 284B-class MoE on 128GB unified memory.

Cross-references