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.

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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 →

GPU: M5 Max 36GB
Compare setup details (1 active)

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

Qwen3.8 27B

M5 Max 36GB · Inco Splash

Tone: positiveApple hardware
generation:
144.0 tokens/s
agenticcoding

User reports Qwen3.8 27B at 144 t/s on an M5 Max MacBook Pro with 36 GB. Setup is the Inco Splash inference engine, an open-source engine built for Apple silicon, also available as a runtime inside LM Studio. Requirements are M3 or newer, macOS 26.4+, and 36 GB. The engine is claimed to reach up to 3x the decode speed of Ollama, 2x oMLX, and almost 4x when an agent fans out into sub-agents.

Sep 19, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB328NVIDIA RTX 3090229NVIDIA RTX 5090175NVIDIA DGX Spark94NVIDIA RTX 5060 Ti 16GB72NVIDIA RTX Pro 6000 Blackwell71NVIDIA RTX 3060 12GB69AMD Radeon AI PRO R9700 32GB67M5 Max 48GB67NVIDIA RTX 409062

Records by model

2801 total
Qwen3.81335
Qwen3.6291
Gemma 4168
DeepSeek V4 Flash149
Qwen3.5126
Qwen375
other657

Records by engine

2042 total
llama.cpp1025
vLLM210
Strata169
MLX107
Ollama87
other444

Use cases

coding 770agentic 500long-context 362tool-use 222vision 146summarization 65math 59creative-writing 48multilingual 32rp 14text-generation 9reasoning 3
coding770agentic500long-context362tool-use222vision146summarization65math59creative-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 27B728Qwen3.8 125B · 6B active541Qwen3.6 35B · 3B active200DeepSeek V4 Flash 284B · 13B active132Qwen3.6 27B80Gemma 4 26B · 4B active59DeepSeek V4.1 Flash 552B · 16B active58GLM-5.3 320B · 18B active47

Quants

Q4_K_M351UD-Q4_K_XL164NVFP4152Q8_01104-bit95IQ4_XS77Q4_K_XL77MXFP467IQ3_S66IQ3_XXS66