Claim
Qwen3.6-35B-A3B Q4_K_M on Ryzen AI Max+ 395 (llama.cpp Vulkan) — inter-token latency: 15.9 ms/token
15.9ms/token
The measurement
On a Beelink GTR9 Pro — AMD Ryzen AI Max+ 395, Radeon 8060S (gfx1151), 128 GB LPDDR5X-8000 unified running llama.cpp (server, Vulkan backend), b9049 (server_fingerprint b9049-2496f9c14) with ggml-org/Qwen3.6-35B-A3B-GGUF @ baec3ebee244 (Q4_K_M), the measured inter-token latency was 15.9 ms/token (median over valid requests). The measurement was taken under the frozen interactive-assistant-v2@2026-08-02 workload; evidence level lab_repeated, 3 valid runs across 1 physical unit. The value is re-derived from the raw run records on every CI build.
Statement
Median inter-token latency (client-side decode-speed proxy) for Q4_K_M on the Vulkan backend. Evidence
- System
- Beelink GTR9 Pro — AMD Ryzen AI Max+ 395, Radeon 8060S (gfx1151), 128 GB LPDDR5X-8000 unified
- Runtime
- llama.cpp (server, Vulkan backend), b9049 (server_fingerprint b9049-2496f9c14)
- Model artifact
- ggml-org/Qwen3.6-35B-A3B-GGUF @ baec3ebee244 (Q4_K_M)
- Scope
- interactive-assistant-v2@2026-08-02
- Aggregation
- median over valid requests
- Evidence level
- lab_repeated
- Status
- active
- Published
- August 3, 2026
- Limitations
- Three repeated runs on one unit, reasoning disabled.
- Runs
Derivation
The value is re-derived from the raw run records by this query on every CI build — a published number cannot silently drift from its evidence.
Cited on
Pages on this site that render this number:
Reports
- Beelink GTR9 Pro for local LLMs: what two units measured over a month of serving
- How many tokens per second is enough for a local LLM?
- Local LLM homelab hardware, measured: what to buy for what workload
- Q8_0 or Q4_K_M? What the bigger quant actually buys you, measured on one box
- Second model, second quant, second backend: what transfers on one box
- What 128 GB of unified memory actually runs: local LLMs, measured
Comparisons
Measured pairs
Cite this claim
AGmind Systems Lab. Qwen3.6-35B-A3B Q4_K_M on Ryzen AI Max+ 395 (llama.cpp Vulkan): inter-token latency — 15.9 ms/token (median over valid requests; 3 runs on 1 unit; evidence level lab_repeated; workload interactive-assistant-v2@2026-08-02). Claim strix.qwen36q4.vulkan.c1.itl-nothink. https://agmind.ai/claims/strix.qwen36q4.vulkan.c1.itl-nothink/ @misc{agmind_strix_qwen36q4_vulkan_c1_itl_nothink,
author = {{AGmind Systems Lab}},
title = {Median inter-token latency (client-side decode-speed proxy) for Q4\_K\_M on the Vulkan backend.},
howpublished = {\url{https://agmind.ai/claims/strix.qwen36q4.vulkan.c1.itl-nothink/}},
note = {Claim strix.qwen36q4.vulkan.c1.itl-nothink: 15.9 ms/token; evidence level lab\_repeated; scope interactive-assistant-v2@2026-08-02},
year = {2026}
} Machine-readable: /claims/strix.qwen36q4.vulkan.c1.itl-nothink.json · BibTeX · CSL-JSON · full registry · changes feed
Own comparable hardware? This claim can be reproduced: /reproduce/
Corrections to published results are logged publicly: errata
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