Leaderboard/Llama-3.1-8B-Instruct/RTX 5090 (32GB)/r_qr4srge34da

Llama-3.1-8B-Instruct on RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB

Name: Llama-3.1-8B-Instruct 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, Llama-3.1-8B-Instruct, 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_qr4srge34da

Workload results

Workload	Backend	Model	decode tok/s	prefill tok/s	TTFT	p50	p95
chat-short	llama.cpp	Llama-3.1-8B-Instruct	229.4tok/s	—	35.6ms	4.3ms	4.4ms
chat-long	llama.cpp	Llama-3.1-8B-Instruct	211.4tok/s	—	266ms	4.7ms	4.8ms
concurrent-decode	llama.cpp	Llama-3.1-8B-Instruct	223.0tok/s	—	—	4.5ms	4.5ms
agent-trace	llama.cpp	Llama-3.1-8B-Instruct	210.3tok/s	36,720.3tok/s	60.8ms	4.6ms	6.6ms

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 llama-3-1-8b-instruct --workload 'chat-short'

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

Embed this run

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[![llm-speed: 229 tok/s on RTX 5090 (32GB) (Llama-3.1-8B-Instruct)](https://llm-speed.com/badge/r_qr4srge34da.svg)](https://llm-speed.com/r/r_qr4srge34da)

Related benchmarks

More Llama-3.1-8B-Instruct 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_qr4srge34da
Fingerprint hash: 013ca61a09d17996
Public key: 0tv44ISLy10gz6Oc6FJig3eWJVLwso9oKemSM4nicKM=
Received: 2026-07-01 08:42:41