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.

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.

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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 →

GPU: AMD Strix Halo 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.

AMD hardware
generation:
42.7 tokens/s
prompt processing (prefill):
1294.2 tokens/s
quant:
UD-IQ4_XS (GGUF)
mtp (multi-token prediction):
on

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

long-context

User reports Qwen3.8 Flash-Next at 42.7 t/s generation and 1294.2 t/s prefill on a 126,000-token prompt on an AMD Strix Halo 128GB. Setup is Strata at UD-IQ4_XS with speculative decoding on, one request. tomasreminek's context-131072 request of 2026-10-06. A source-reported measurement, not independently reproduced.

Oct 11, 2026
AMD hardware
generation:
42.0 tokens/s
prompt processing (prefill):
887.0 tokens/s
quant:
UD-IQ4_XS (GGUF)
kv:
int8
mtp (multi-token prediction):
on

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

User reports Qwen3.8-Flash-Next at 42.0 t/s generation and 887 t/s prefill on a GMKtec EVO-X2 with AMD Ryzen AI Max+ 395 (Strix Halo, 128GB unified, 64GB GPU carve-out). Setup is Strata 0.1.40.2 (HIP/ROCm) with Unsloth UD-IQ4_XS GGUF, int8 KV cache, 32,768 resident KV tokens, --spec 4 with MTP enabled, and a fresh 17,844-token prompt generating 300 tokens. Single-machine community self-report, not independently reproduced; MTP/speculative decoding is on, so this is not a non-speculative baseline. Chip power was about 121 W (peaks 138 W) and GPU clock median 2.75 GHz.

Oct 9, 2026
Tone: positiveAMD hardware
generation:
53.8 tokens/s
prompt processing (prefill):
1293.0 tokens/s
quant:
UD-IQ4_XS (GGUF)

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

User reports Qwen3.8-Flash-Next at 53.8 t/s output and 1293 t/s prompt processing on Strix Halo 128GB. Setup is Strata with UD-IQ4_XS weights at 8K context; the release adds official Strix Halo support, marked experimental and Linux only. At 64K the run gives 46.6 t/s output and 1370 t/s prompt processing, and at 128K 51.4 t/s output and 1320 t/s prompt processing. The user says it can go up to 1M context length without big speed loss.

Oct 6, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB294NVIDIA RTX 3090190NVIDIA RTX 5090134NVIDIA DGX Spark77M5 Max 48GB65NVIDIA RTX Pro 6000 Blackwell62NVIDIA RTX 5060 Ti 16GB58NVIDIA RTX 3060 12GB54AMD Radeon AI PRO R9700 32GB50M4 Max 128GB49

Records by model

2211 total
Qwen3.81021
Qwen3.6238
DeepSeek V4 Flash147
Gemma 4144
Qwen3.597
Qwen353
other511

Records by engine

1645 total
llama.cpp875
vLLM189
MLX100
Strata70
Ollama62
other349

Use cases

coding 556agentic 357long-context 272tool-use 153vision 109summarization 53math 43creative-writing 37multilingual 23text-generation 9rp 8reasoning 3
coding556agentic357long-context272tool-use153vision109summarization53math43creative-writing37

Median generation t/s by GPU

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

RTX 509082RTX Pro 600067M5 Ultra 256GB50RX 7900 XTX48RTX 309036RTX 5090 Laptop 24GB34RTX 409032V100 32GB31Radeon AI PRO R9700 32GB30RX 7800 XT 16GB30

Prompt processing, same model

M5 Ultra 256GB1800RX 7900 XTX530RTX 3090561RTX 40901949V100 32GB941RTX 3080 20GB997Arc Pro B70512M1 Ultra 128GB153Arc Pro B60 24GB380M1 Max 32GB82

Reports by model size

Qwen3.8 27B566Qwen3.8 125B · 6B active371DeepSeek V4 Flash 284B · 13B active130Qwen3.6 35B · 3B active129Qwen3.6 27B72Gemma 4 26B · 4B active36GLM-5.3 320B · 18B active33DeepSeek V4.1 Flash 552B · 16B active28

Quants

Q4_K_M290UD-Q4_K_XL140NVFP4120Q8_0984-bit79Q4_K_XL71IQ4_XS70MXFP458IQ3_XXS52Q450