live · 166 benchmarks tracked
Will it run on your GPU?
Community benchmarks for self-hosting open-weights AI models. Real speed numbers, real peak-VRAM, real consumer hardware. No vendor marketing.
§02·latest · recipes
- imageadvanced24GB+
Qwen-Image-2.1 on RX 7900 XTX: int8 ComfyUI on ROCm 7.2.4, resident in 24 GB, output check
- imageintermediate32GB+
Qwen-Image-2.1 on Apple M4 Max 48 GB: 8-bit mflux, Third-Party 64 GB Timings, ComfyUI Edits
- imageintermediate32GB+
Qwen-Image-2.1 on Apple M3 Max 48 GB: 8-bit mflux Inside the 36 GiB Budget, Edits in ComfyUI
- imageintermediate64GB+
Qwen-Image-2.1 on Apple M2 Max 64 GB: Full bf16 in mflux, --low-ram for 2K, ComfyUI Edits
- imageintermediate8GB+
Qwen-Image-2.1 on RTX 4060 Ti 8GB: What Fits, What Streams per Step, Which 4-Bit DiTs Run
- imageintermediate8GB+
Qwen-Image-2.1 on RTX 4060: 8 GB ComfyUI Install, What Crosses the x8 Link, Ada 4-Bit DiTs
§03·contribute
Ran a benchmark?
Share the numbers.
Drop a GPU, a model, and the numbers you measured. A source link — a forum post, a gist, a screenshot — helps us cross-check before the entry shows up in the dataset.
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