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.

Join the community

Follow along:XLinkedIn

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.

Looking for a particular model?

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: Nemotron 3.5 Super
Compare setup details

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

Tone: positiveAMD hardware
generation:
31.0 tokens/s
quant:
Q4_K_M (GGUF)
coding

User compares Nemotron 3.5 Super VL 120B-A12B at 31 t/s against Qwen 3.8 27B at 15 t/s on an AMD Strix Halo 128GB. Setup is LM Studio on Windows 11, with the Nemotron in Q4_K_M and the Qwen in Q8_0. Both models were asked to write a single canvas HTML animation explaining noise cancelling headphones; the user says the Nemotron result is clearly better and hits above its weight class. Nemotron thought for 7 minutes, Qwen for 20.

Oct 20, 2026
Showing 1–1 of 1
Page 1 of 1

Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB309NVIDIA RTX 3090208NVIDIA RTX 5090154NVIDIA DGX Spark86NVIDIA RTX Pro 6000 Blackwell67M5 Max 48GB66NVIDIA RTX 5060 Ti 16GB65NVIDIA RTX 3060 12GB60AMD Radeon AI PRO R9700 32GB57M4 Max 128GB52

Records by model

2475 total
Qwen3.81151
Qwen3.6262
Gemma 4163
DeepSeek V4 Flash148
Qwen3.5113
Qwen371
other567

Records by engine

1832 total
llama.cpp958
vLLM196
Strata114
MLX104
Ollama76
other384

Use cases

coding 647agentic 409long-context 308tool-use 180vision 120summarization 57math 48creative-writing 41multilingual 26rp 12text-generation 9reasoning 3
coding647agentic409long-context308tool-use180vision120summarization57math48creative-writing41

Median generation t/s by GPU

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

RTX 509073RTX Pro 600067M5 Ultra 256GB50RX 7900 XTX48RTX 309036RX 7800 XT 16GB35RTX 5090 Laptop 24GB34RTX 409032V100 32GB31Radeon AI PRO R9700 32GB30

Prompt processing, same model

M5 Ultra 256GB1800RX 7900 XTX530RTX 3090561RTX 40901949V100 32GB941Radeon AI PRO R9700 32GB1287RTX 3080 20GB997Arc Pro B70512M1 Ultra 128GB153Arc Pro B60 24GB380

Reports by model size

Qwen3.8 27B618Qwen3.8 125B · 6B active446Qwen3.6 35B · 3B active152DeepSeek V4 Flash 284B · 13B active131Qwen3.6 27B73Gemma 4 26B · 4B active41GLM-5.3 320B · 18B active39DeepSeek V4.1 Flash 552B · 16B active34

Quants

Q4_K_M320UD-Q4_K_XL148NVFP4139Q8_01014-bit84IQ4_XS74Q4_K_XL72MXFP463IQ3_XXS59Q454