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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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 →

Model: Llama2
Compare setup details

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

Llama2 7B

2× heterogeneous GPUs total: Radeon 8060S + NVIDIA RTX 5070 Ti 16GB · llama.cpp / Vulkan (build unreported)

generation:
130.2 tokens/s
prompt processing (prefill):
5790.9 tokens/s
quant:
Q4_0 (GGUF)
flash attention:
on

User reports Llama2 7B at 130.2 t/s generation and 5790.9 t/s prompt processing on a Radeon 8060S plus an RTX 5070 Ti over OCuLink. Setup is llama-bench with Q4_0, -ngl 99, -fa 1, -n 128 and -p 512, split 9/1 between the RTX 5070 Ti and the Radeon 8060S. The 9/1 split is the first interior configuration, not the fastest single-device endpoint; the 10/0 endpoint reached 168.91 t/s generation and 7461.22 t/s prompt processing.

Oct 14, 2026

Llama2 7B

AMD Strix Halo 128GB · llama.cpp / ROCm (build unreported)

AMD hardware
generation:
50.2 tokens/s
prompt processing (prefill):
1493.3 tokens/s
quant:
Q4_0 (GGUF)
flash attention:
on

User reports Llama2 7B at 50.2 t/s generation and 1493.3 t/s prompt processing on an AMD Strix Halo 128GB system. Setup is llama.cpp with Q4_0, run natively on the Radeon 8060S iGPU via ROCm with -ngl 99 and flash attention; an attached RTX 5070 Ti does not participate. ROCm TG128 measured 50.16 +/- 0.07 t/s and PP512 1493.28 +/- 30.20 t/s; prompt processing fell to 958.19 t/s at 8192 tokens of context.

Oct 14, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB312NVIDIA RTX 3090216NVIDIA RTX 5090161NVIDIA DGX Spark87NVIDIA RTX Pro 6000 Blackwell70NVIDIA RTX 5060 Ti 16GB67M5 Max 48GB67NVIDIA RTX 3060 12GB63AMD Radeon AI PRO R9700 32GB61NVIDIA RTX 409054

Records by model

2579 total
Qwen3.81212
Qwen3.6274
Gemma 4165
DeepSeek V4 Flash148
Qwen3.5116
Qwen371
other593

Records by engine

1903 total
llama.cpp981
vLLM201
Strata130
MLX106
Ollama79
other406

Use cases

coding 683agentic 433long-context 321tool-use 188vision 126summarization 61math 51creative-writing 43multilingual 26rp 12text-generation 9reasoning 3
coding683agentic433long-context321tool-use188vision126summarization61math51creative-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 309037RX 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 27B679Qwen3.8 125B · 6B active472Qwen3.6 35B · 3B active184DeepSeek V4 Flash 284B · 13B active131Qwen3.6 27B79Gemma 4 26B · 4B active59GLM-5.3 320B · 18B active41DeepSeek V4.1 Flash 552B · 16B active41

Quants

Q4_K_M332UD-Q4_K_XL152NVFP4144Q8_01054-bit87IQ4_XS75Q4_K_XL74MXFP465IQ3_XXS61Q454