Leaderboard/Yi-Coder-9B-Chat/RTX 5090 (32GB)/r_zlh6az5q0o_

Yi-Coder-9B-Chat on RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB

Name: Yi-Coder-9B-Chat on RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
Creator: llm-speed
License: https://creativecommons.org/licenses/by/4.0/
Keywords: LLM benchmark, tokens per second, Yi-Coder-9B-Chat, RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB, llama.cpp

RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB

suite suite-v1

cli 0.0.3

signed0tv44ISLy1…

Embed badgesubmitted Jul 01, 2026

https://llm-speed.com/r/r_zlh6az5q0o_

Workload results

Workload	Backend	Model	decode tok/s	prefill tok/s	TTFT	p50	p95
chat-short	llama.cpp	Yi-Coder-9B-Chat	66.79tok/s	—	317ms	14.8ms	15.0ms
chat-long	llama.cpp	Yi-Coder-9B-Chat	69.60tok/s	—	1,195ms	14.4ms	15.0ms
concurrent-decode	llama.cpp	Yi-Coder-9B-Chat	70.99tok/s	—	—	13.5ms	14.8ms
agent-trace	llama.cpp	Yi-Coder-9B-Chat	71.76tok/s	4,478.0tok/s	397ms	13.6ms	13.8ms

Reproduce on your machine

Same workload, same model, signed at your rig. The exact command that produced this run:

$ pipx install llm-speed && llm-speed bench --model 'Yi-Coder-9B-Chat' --workload 'agent-trace'

Runs in about a minute. Your number lands on the leaderboard signed and linkable. How it's measured.

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[![llm-speed: 71.8 tok/s on RTX 5090 (32GB) (Yi-Coder-9B-Chat)](https://llm-speed.com/badge/r_zlh6az5q0o_.svg)](https://llm-speed.com/r/r_zlh6az5q0o_)

Related benchmarks

More Yi-Coder-9B-Chat benchmarks — every backend and rig that has run this model.
More RTX 5090 (32GB) LLM benchmarks — every model measured on this hardware.

Provenance

Run ID: r_zlh6az5q0o_
Fingerprint hash: 013ca61a09d17996
Public key: 0tv44ISLy10gz6Oc6FJig3eWJVLwso9oKemSM4nicKM=
Received: 2026-07-01 08:51:30