Intel Core Ultra 9 285K

Headlines · 3

1. 3d
   Community post reports 5,500 tok/s prompt processing on one RTX 5080

   A r/LocalLLaMA post reported that Basalt achieved 5,500 tokens/s in prompt processing while running IQ3_S Qwen3.8 Flash Next on a single RTX 5080. The author also cited peak generation rates of 275 tokens/s for code and tool calls and 190 tokens/s for reasoning traces, using 64GB DDR5-6400 memory and a Core Ultra 9 285K; no independent measurement was supplied.

   r/LocalLLaMA · 🔥 0
2. 7d
   Qwen3.8 Flash Next IQ3_S benchmarked on RTX 5080

   A Reddit user reported benchmarking Qwen3.8 Flash Next IQ3_S with Strata/Basalt on an RTX 5080 with 16GB VRAM, an Intel Core Ultra 9 285K, 62GB DDR5-6800, 262K context and an int8 KV cache. In 103 opencode agent-coding requests with contexts up to 130K, it averaged 5,011 tok/s for prompt processing and 153 tok/s for generation. A 15K–207K context sweep averaged 5,475 tok/s for prompt processing and 154.9 tok/s for generation, with a peak of 5,662 tok/s and 186.6 tok/s, respectively. The agent test recorded a generation peak of 262 tok/s, the report’s best single second, exceeding the title’s “up to 250 tok/s” claim.

   r/LocalLLaMA · 🔥 0
3. Oct 22
   Reddit benchmark pits three NVFP4 engines for Qwen3.8-Flash-Next on one RTX 5090

   A Reddit user posting in r/LocalLLaMA benchmarked three NVFP4 inference engines — basalt, capy-flash and ninfer-ext — running Qwen3.8-Flash-Next on a single NVIDIA RTX 5090 with 32 GB, sweeping context in 16k steps up to the full 262,144 tokens with MTP speculation and int8 KV cache and reporting zero prefix-cache hits. The post says basalt was fastest at every context depth at 8.1k–9.2k tok/s prefill and 176–265 tok/s greedy decode, capy-flash second at 6.8k–8.0k tok/s and 138–198 tok/s, and ninfer-ext third at 4.2k–6.3k tok/s and 73–106 tok/s. The author also reports that sampled decoding at temperature 1.0 cost 7–10% of decode throughput for every engine and nothing in prefill, and that tuning changed results substantially; the numbers are one user's measurements and have not been independently verified.

   r/LocalLLaMA · 🔥 0

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