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.

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 →

GPU: NVIDIA CMP 170HX 64GB (unlocked)
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:
38.0 tokens/s
prompt processing (prefill):
907.0 tokens/s
quant:
Q4_K_M (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.

LTT Labs original tests, September 12, 2026. Selected run: one unlocked NVIDIA CMP 170HX, 64GB GPU memory, Qwen 3.6 27B Q4_K_M GGUF. Prefill pp512: 907 tokens/s; pp8192: 888 tokens/s; generation tg128: 38 tokens/s. Command: ./llama-bench -m <model> -fa 1 -ngl 999 -r 5 -d 0 -n 128 -p 512,8192. All tests have zero context depth; five repetitions, flash attention and full GPU layer request. CPU, system RAM, runtime commit, CUDA version, actual resident memory and tested artifact revision are unknown. Approximately 16GB is model file size, not resident RAM. Exact tested quantization repository linked by author: https://huggingface.co/bartowski/Qwen_Qwen3.6-27B-GGUF . Source: https://www.lttlabs.com/articles/2026/09/12/cmp-170hx-cmpunlocker . Other models and multi-card comparisons in the source are separate runs.

Oct 14, 2026
Tone: positiveNVIDIA hardware
generation:
63.0 tokens/s
prompt processing (prefill):
1700.0 tokens/s
quant:
Q6_K
kv:
F16

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 Qwen3.6-35B-A3B at 63 t/s on 4x CMP 170HX 8GB cards flashed to 64GB each, 256GB total. Setup uses MTP with little-MoE default. Generation reaches 110 t/s with MTP optimistic.

Sep 7, 2026
NVIDIA hardware
generation:
29.0 tokens/s
prompt processing (prefill):
450.0 tokens/s
quant:
Q4_K_XL

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 testing multiple models on 4x CMP 170HX 64GB cards, including DeepSeek V4-Flash 0731 with a Q4_K_XL quant, 13B active MoE, and 1M context, plain no-spec. The cards are cut-down A100 mining cards with 64GB each, PCIe Gen2 x4, and no NVLink. Other models tested include gpt-oss-120B, Qwen3.6-35B-A3B, GLM-4.5-Air, and MiniMax-M2.7.

Sep 7, 2026
Showing 1–3 of 3
Page 1 of 1

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