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: NVIDIA CMP 170HX 8GB
Compare setup details (1 active)

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

NVIDIA hardware
generation:
121.0 tokens/s
prompt processing (prefill):
630.0 tokens/s
quant:
IQ3_XXS (GGUF)
kv:
int8
mtp (multi-token prediction):
on

User benchmarks Qwen3.8 Flash-Next at 121 t/s generation and 630 t/s prefill on two CMP 170HX 8GB cards. Setup is Strata with IQ3_XXS GGUF weights, int8 KV cache, MTP speculative decoding with 4 tokens, and a 262144 max context. The table covers prompt lengths from ~0.5K to 140K and concurrency 1 to 4; the reported figures are the c1 ~0.5K row. Total output tok/s at c1 ~0.5K is 89.

Oct 9, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB317NVIDIA RTX 3090217NVIDIA RTX 5090163NVIDIA DGX Spark88NVIDIA RTX Pro 6000 Blackwell70NVIDIA RTX 5060 Ti 16GB68M5 Max 48GB67NVIDIA RTX 3060 12GB64AMD Radeon AI PRO R9700 32GB61NVIDIA RTX 409056

Records by model

2621 total
Qwen3.81234
Qwen3.6275
Gemma 4166
DeepSeek V4 Flash149
Qwen3.5118
Qwen375
other604

Records by engine

1933 total
llama.cpp994
vLLM202
Strata138
MLX106
Ollama81
other412

Use cases

coding 700agentic 444long-context 330tool-use 193vision 132summarization 61math 53creative-writing 44multilingual 28rp 13text-generation 9reasoning 3
coding700agentic444long-context330tool-use193vision132summarization61math53creative-writing44

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 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 27B690Qwen3.8 125B · 6B active483Qwen3.6 35B · 3B active185DeepSeek V4 Flash 284B · 13B active132Qwen3.6 27B79Gemma 4 26B · 4B active59DeepSeek V4.1 Flash 552B · 16B active44GLM-5.3 320B · 18B active43

Quants

Q4_K_M334UD-Q4_K_XL155NVFP4145Q8_01074-bit88IQ4_XS75Q4_K_XL74MXFP465IQ3_XXS61Q455