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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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 RTX 5070 Ti Laptop 12GB
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

NVIDIA RTX 5070 Ti Laptop 12GB · Unsloth Studio · 8,192 ctx

Tone: positiveNVIDIA hardware
generation:
4.5 tokens/s
prompt processing (prefill):
20-27 tokens/s
quant:
UD-Q4_K_XL
kv:
Q8
mtp (multi-token prediction):
on
coding

User reports Qwen3.8-27B at around 4.5 tok/s on an RTX 5070 Ti Laptop GPU with 12GB VRAM and 32GB system RAM. Setup is Unsloth Studio with UD-Q4_K_XL (roughly 17.9GB), 8K context, Q8 KV cache, flash attention, one parallel slot and MTP speculative decoding with draft max 2. Around 10,978 MiB stays in VRAM and the rest is offloaded to the CPU. A longer response ran at 3.26 tok/s, a short factual one at 4.42 tok/s and a Python coding one at 4.53 tok/s, with prompt processing around 20-27 tok/s. Draft-token acceptance was around 78-83%.

Sep 7, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB313NVIDIA RTX 3090217NVIDIA RTX 5090161NVIDIA DGX Spark87NVIDIA RTX Pro 6000 Blackwell70NVIDIA RTX 5060 Ti 16GB67M5 Max 48GB67NVIDIA RTX 3060 12GB63AMD Radeon AI PRO R9700 32GB61NVIDIA RTX 409055

Records by model

2585 total
Qwen3.81216
Qwen3.6274
Gemma 4165
DeepSeek V4 Flash148
Qwen3.5116
Qwen371
other595

Records by engine

1909 total
llama.cpp983
vLLM202
Strata132
MLX106
Ollama79
other407

Use cases

coding 686agentic 435long-context 324tool-use 189vision 126summarization 61math 51creative-writing 43multilingual 26rp 12text-generation 9reasoning 3
coding686agentic435long-context324tool-use189vision126summarization61math51creative-writing43

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 27B683Qwen3.8 125B · 6B active472Qwen3.6 35B · 3B active184DeepSeek V4 Flash 284B · 13B active131Qwen3.6 27B79Gemma 4 26B · 4B active59GLM-5.3 320B · 18B active42DeepSeek V4.1 Flash 552B · 16B active42

Quants

Q4_K_M332UD-Q4_K_XL153NVFP4144Q8_01054-bit87IQ4_XS75Q4_K_XL74MXFP465IQ3_XXS61Q454