Skip to content
llm-speed
Leaderboard/models/llama-3-1-8b-instruct

Llama-3.1-8B-Instruct-4bit

7 workload results across 3 hardware configurations.

Fastest local config

232.2 decode tok/s

on RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB via llama.cpp. see full run

Local runs (7 runs)

Runs from contributors' own machines via MLX, llama.cpp, vLLM, exllamav2, or ollama. Signed on the submitter's hardware.

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

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRun
chat-shortllama.cpp-229.4tok/sno data35.6msr_qr4srge34da
chat-longllama.cpp-211.4tok/sno data266msr_qr4srge34da
concurrent-decodellama.cpp-223.0tok/sno datano datar_qr4srge34da
agent-tracellama.cpp-210.3tok/s36,720.3tok/s60.8msr_qr4srge34da
chat-shortllama.cpp-232.2tok/sno data33.8msr_kfrkg-vn376

M3 Pro (18-core GPU) + 36GB unifiedM3 Pro (18-core GPU) + 36GB unified

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRun
chat-shortmlx@0.31.3-29.20tok/s203.3tok/s669msr_h0-use1ypnb

M3 Ultra (60-core GPU) + 96GB unifiedM3 Ultra (60-core GPU) + 96GB unified

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRun
chat-shortmlx@0.31.3-130.2tok/s400.3tok/s340msr_v2pbc0rq2l4

Llama-3.1-8B-Instruct-4bit on hardware