Skip to content
llm-speed

LFM2.5-24B-A2B on RTX 5090 (32GB) + INTEL(R) XEON(R) GOLD 6530 (64c) + 1008GB

MeasuredOn 2026-10-15, LFM2.5-24B-A2B Q4_K_M ran at 308.5 tok/s (chat-short) on an RTX 5090 (32GB) with llama.cpp. Run r_c8k6fleym09.

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortllama.cpp@0.6.0-dev (build 1, commit a0e6dc7)LFM2.5-24B-A2BQ4_K_M308.5tok/s553.1tok/s206ms3.2ms3.3ms
chat-longllama.cpp@0.6.0-dev (build 1, commit a0e6dc7)LFM2.5-24B-A2BQ4_K_M300.4tok/s12,418.3tok/s264ms3.4ms3.4ms
concurrent-decodellama.cpp@0.6.0-dev (build 1, commit a0e6dc7)LFM2.5-24B-A2BQ4_K_M321.3tok/s——3.1ms3.1ms
agent-tracellama.cpp@0.6.0-dev (build 1, commit a0e6dc7)LFM2.5-24B-A2BQ4_K_M313.2tok/s18,108.8tok/s117ms3.1ms3.2ms

Reproduce on your machine

Start with this model and workload selection. This command does not capture the original artifact, backend version or server settings:

Match quantization, context capacity, caching and runtime settings for a useful comparison. Duration varies by workload and hardware; the published client may differ from this run's version. How it's measured.

Share this run

Copy the short link, a Reddit-ready summary, or a README badge. Every number is the measured result on this page, and each badge links back to it.

llm-speed: 308.5 tok/s on RTX 5090 (32GB) (LFM2.5-24B-A2B)
https://llm-speed.com/r/r_c8k6fleym09

Related benchmarks

Provenance

Run ID
r_c8k6fleym09
Fingerprint hash
Public key
Ub9BV8/19PQ38armneETQsn13lwcDFtJ/wIAQ/FdeIY=
Received
2026-10-15 01:33:31