llamaperf

Local model performance on your hardware

Find which open-weight LLMs fit in your GPU or Mac and compare the speeds people report on setups like yours.

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What runs on your hardware?

Pick your GPU or Mac, then read the speeds people reported on it, or estimate which models fit and how fast they run.

Free to use. No account needed. Memory estimates and community measurements are labelled separately.

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Search for a model to see its reported speeds across GPUs and Macs.

Local model performance reports from the community

These are individual setups, not a controlled benchmark. Compare GPU count, quantization, context and offloading before comparing speeds. How to read a report →

Model: Bonsai
Compare setup details

Exact recorded values. Context may be a configured limit; matching filters does not establish identical prompts, offloading or concurrency.

Bonsai 27B

AMD RX 9070 · Bonsai runtime · 120,000 ctx

Tone: positiveAMD hardware
generation:
73.0 tokens/s
quant:
Q1_0
kv:
kvarn4

User reports 43.4 t/s with a q8_0 KV cache and 73.0 t/s with a kvarn4 KV cache at 120K context. The q8_0 cache used about 13.1 GB total and the kvarn4 cache about 9.8 GB total. The kvarn4 cache is 68% faster and uses 3.3 GB less VRAM.

Sep 7, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB328NVIDIA RTX 3090228NVIDIA RTX 5090175NVIDIA DGX Spark94NVIDIA RTX 5060 Ti 16GB72NVIDIA RTX Pro 6000 Blackwell71NVIDIA RTX 3060 12GB69M5 Max 48GB67AMD Radeon AI PRO R9700 32GB66NVIDIA RTX 409062

Records by model

2788 total
Qwen3.81327
Qwen3.6291
Gemma 4168
DeepSeek V4 Flash149
Qwen3.5124
Qwen375
other654

Records by engine

2033 total
llama.cpp1024
vLLM209
Strata165
MLX107
Ollama87
other441

Use cases

coding 767agentic 495long-context 358tool-use 217vision 146summarization 65math 59creative-writing 48multilingual 31rp 14text-generation 9reasoning 3
coding767agentic495long-context358tool-use217vision146summarization65math59creative-writing48

Median generation t/s by GPU

On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking

RTX 509080RTX Pro 600067RTX 5070 Ti55M5 Ultra 256GB50RX 7900 XTX43RTX 409040RTX 309037RX 7800 XT 16GB35RTX 5090 Laptop 24GB34M3 Ultra 512GB32

Prompt processing, same model

M5 Ultra 256GB1800RX 7900 XTX640RTX 40901949RTX 3090561M3 Ultra 512GB391V100 32GB941Radeon AI PRO R9700 32GB1287RTX 3080 20GB997Arc Pro B70512M1 Ultra 128GB153

Reports by model size

Qwen3.8 27B725Qwen3.8 125B · 6B active536Qwen3.6 35B · 3B active200DeepSeek V4 Flash 284B · 13B active132Qwen3.6 27B80Gemma 4 26B · 4B active59DeepSeek V4.1 Flash 552B · 16B active55GLM-5.3 320B · 18B active47

Quants

Q4_K_M351UD-Q4_K_XL164NVFP4151Q8_01104-bit95IQ4_XS77Q4_K_XL76MXFP467IQ3_XXS66IQ3_S66