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Performance Benchmarks

Real-world performance metrics based on LOCOMO dataset

10 long multi-turn conversations · 1,540 QA · GPT-5.5

PowerMem vs Full-Context

LLM Score Accuracy
87.79%
baseline 52.9%, +65.9%
Retrieval P95 Latency
1.44s
baseline 17.12s, -91.6%
Token Usage Consumption
~0.9k
baseline ~26k, -96.5%

Mean Scores Per Category

CategoryDescriptionLLM ScoreCount
1Single-Hop
Questions asking for specific facts directly mentioned in a single conversation.90.78%282
2Temporal
Questions can be answered through temporal reasoning and capturing time-related data cues within the conversation.83.49%321
3Multi-Hop
Questions that require synthesizing information from multiple sessions.73.96%96
4Open-Domain
Questions can be answered by integrating a speaker's provided information with external knowledge, such as commonsense or world facts.90.01%841