Liquid AI and Artificial Analysis Release Open-Source On-Device Benchmark Pipette

On August 25, Liquid AI and Artificial Analysis released Pipette, an open-source evaluation suite for on-device models, which was widely shared by multiple influencers (@maximelabonne, @JosephJacks, etc.).

Confirmed

• Pipette was jointly released and open-sourced by Liquid AI and Artificial Analysis, positioned as an on-device intelligence evaluation suite
• It covers a wide range of edge hardware, including phones, PCs, AI boxes, and embedded devices
• Measured dimensions include model quality, inference speed, latency, and memory footprint
• Provides a unified interface to compare combinations of "model + quantization + runtime + device"
• Supports open-source quantization and comes with large-scale open data (some reposts mention tens of thousands of entries)
• One of its design goals is to provide a unified, reproducible evaluation methodology

Why it matters

Existing evaluation platforms mainly target cloud services and struggle to reflect the real quality and performance of models on edge devices. Pipette brings models, quantization schemes, runtimes, and hardware into a single evaluation framework, offering a reproducible, unified standard for on-device model selection and deployment and helping drive transparent comparisons in the on-device AI ecosystem.

2026-08-25 ~ 2026-08-25 · 5 related posts

• [source] Liquid AI Releases Pipette, a Benchmark Suite for On-Device AI — maximelabonne · 2026-08-25

4 near-duplicate retellings: JosephJacks_ · JosephJacks_ · JosephJacks_ · JosephJacks_