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 128GB
Compare setup details (1 active)

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

Tone: positiveApple hardware
generation:
30.0 tokens/s
quant:
Q2 (GGUF)

User reports DeepSeek V4.1 Flash at ~30 tok/s decode at 2K context on an M5 Max 128GB, streaming a 341 GB Q2 GGUF from SSD. Setup is a fork of antirez's ds4 engine (sf-ds4-1flash) with Metal backend, one machine, weights streamed from disk. Decode is ~26 tok/s at 32K context and settles around 24 tok/s after an hour of heavy use. First token after an 8K prompt dropped from 1.23 s to 0.15 s. Prefill improved 45-99% and decode 62-78% versus upstream ds4. Output is bit-identical to ds4.

Oct 12, 2026
Tone: positiveApple hardware
generation:
24.4 tokens/s
prompt processing (prefill):
636.0 tokens/s
quant:
Q2 (GGUF)

User reports DeepSeek V4.1 Flash at Q2 running on an M5 Max 128GB Mac, with a fork of ds4 reaching 24.4 t/s generation at 2048 context versus 12.1 t/s for stock ds4. Setup is ds4 with a 341 GB GGUF (152 GB weights plus 189 GB Engram tables) streamed from SSD, no KV quant, bit-exact output. The fork doubles steady decode to 25.7 t/s at 2048 context and 22.0 t/s at 32768 context, and prefill from 16k to 32k context rises from 404 t/s to 636 t/s. Adding a byte-identical external Thunderbolt 5 SSD copy cuts time to first token on a 3.5K prompt from 13.2 s to 11.2 s and after an 8K context from 1.38 s to 0.18 s; decode is unchanged. The enclosure runs at PCIe 4.0 x4, about half the internal SSD speed. A two-SSD attempt in upstream ds4's mmap path was bit-exact but 13-38% slower on prefill and was not submitted.

Oct 7, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB320NVIDIA RTX 3090219NVIDIA RTX 5090170NVIDIA DGX Spark91NVIDIA RTX 5060 Ti 16GB72NVIDIA RTX Pro 6000 Blackwell70M5 Max 48GB67NVIDIA RTX 3060 12GB65AMD Radeon AI PRO R9700 32GB63NVIDIA RTX 409057

Records by model

2698 total
Qwen3.81272
Qwen3.6284
Gemma 4168
DeepSeek V4 Flash149
Qwen3.5121
Qwen375
other629

Records by engine

1980 total
llama.cpp1008
vLLM205
Strata150
MLX106
Ollama83
other428

Use cases

coding 737agentic 466long-context 342tool-use 207vision 137summarization 61math 57creative-writing 46multilingual 29rp 13text-generation 9reasoning 3
coding737agentic466long-context342tool-use207vision137summarization61math57creative-writing46

Median generation t/s by GPU

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

RTX 509080RTX Pro 600067M5 Ultra 256GB50RX 7900 XTX43RTX 409040RTX 309038RX 7800 XT 16GB35RTX 5090 Laptop 24GB34M3 Ultra 512GB32V100 32GB31

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 27B709Qwen3.8 125B · 6B active499Qwen3.6 35B · 3B active193DeepSeek V4 Flash 284B · 13B active132Qwen3.6 27B80Gemma 4 26B · 4B active59DeepSeek V4.1 Flash 552B · 16B active50GLM-5.3 320B · 18B active45

Quants

Q4_K_M341UD-Q4_K_XL157NVFP4148Q8_01074-bit91IQ4_XS76Q4_K_XL74MXFP466IQ3_XXS65IQ3_S59