Benchmarking pocket-scale inference
We benchmark small models on mobile phones. Artificial Analysis' testing covers model intelligence on a set of benchmarks chosen to represent real-world mobile device usage, and we partner with Liquid AI to gather real inference data measured on the devices themselves. Note: we have independently validated Liquid AI's inference measurement process.
“Small” models are all models that fit inside 8 GB of memory after quantization, including KV cache at 8K context. View all rules and our process in the methodology page.
Intelligence and Inference Performance Summary
Average Score (16K max context) vs. End-to-End Generation TimeiPhone 17 Pro
Simple average of 5 evaluations chosen to represent real-world mobile device usage: BFCL (subset), IFBench, AA-Omniscience, GPQA Diamond, MATH-500 · Context limited to 16K tokens · E2E time is the seconds taken to process a 1024-token prompt and generate a 256-token response
Most attractive quadrant
Pareto line
Inference Performance
End-to-End Generation TimeiPhone 17 Pro
Seconds to process a 1024-token prompt and generate a 256-token response · Lower is better
Model Intelligence
Average Score (Mobile Device Benchmark Set, 16K max context)iPhone 17 Pro
Simple average of 5 evaluations chosen to represent real-world mobile device usage: BFCL (subset), IFBench, AA-Omniscience, GPQA Diamond, MATH-500 · Context limited to 16K tokens · Higher is better
Performance measurements omitted as the model did not fit on this device or exceeded the time limit
Token Efficiency
Context Budget Overruns
Generations that stopped at the 16K-token limit instead of finishing, across every evaluation run on the model · Lower is better
Evaluation Breakdown
Mobile Device Benchmark Set Evaluations (16K max context)iPhone 17 Pro
Intelligence evaluations measured independently by Artificial Analysis · Context limited to 16K tokens · Higher is better
BFCL
Tool calling (index subset)
IFBench
Instruction following
AA-Omniscience Accuracy
Knowledge
AA-Omniscience Non-Hallucination Rate
1 - hallucination rate
GPQA Diamond
Scientific reasoning
MATH-500
Quantitative reasoning