Many teams ship foundation models to hardware they do not own, yet model cards only report performance under server‑class, full‑precision conditions. Those numbers rarely predict how the same model behaves on a phone, tablet, or embedded board, leading to wasted sprint cycles, missed latency targets, and embarrassing quality gaps when the product reaches users.
Liquid AI’s Pipette solves this mismatch by treating on‑device behavior as a property of the full deployed system—model + quantization + runtime + device—rather than the model in isolation. The open‑source platform provides a standardized benchmark suite, a public results dataset, and native iOS/Android apps that let anyone run reproducible tests on their own devices. Because Pipette follows a published methodology with fixed token shapes, greedy decoding, thermal checks, and five measured repetitions, the numbers are comparable across teams and trustworthy for decision‑making.
With Pipette you can:
– Compare model and quantization options before committing to a sprint, seeing exactly how decode throughput scales with context length on your target phone.
– Validate hardware procurement by measuring peak RAM and latency for specific SoC/runtime combinations under real thermal conditions.
– Run regression tests whenever a runtime, OS, or driver updates, ensuring no hidden performance regressions slip through.
– Plan context‑length capacity by observing where throughput drops off for each configuration.
– Independently verify vendor performance claims using the same measurement unit they will see in the field.
Initial results already reveal striking differences: two 350 M models at the same quantization on the same phone retain 78.4 % and 33.8 % of decode throughput at 4 096 tokens, sparse activation models deliver speed gains without reducing memory footprint, and speed‑optimized models can lag significantly in quality metrics. These insights let teams pick the right trade‑off for latency, privacy, or connectivity constraints rather than guessing from server benchmarks.
Pipette is Apache 2.0 licensed, with management, client, and scoring components that can be run behind a firewall or used via the hosted dashboard and mobile apps—no waitlists, no vendor lock‑in.
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