Unverified50% confidenceBenchmarkExact time
On a subset containing only 249 home/catalog images, Pasma's Top-1 accuracy was 83.53% versus 87.15% for SigLIP-Base, reversing the ranking.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/25/2026
First Seen
Valid until: 1/23/2027
Sources
Related Entities
Related Claims
UnverifiedPasma-Small achieved 97.10% Top-3 accuracy on the combined set.73% similarUnverifiedThe Top3 configuration achieved an accuracy of 97.148%, a weighted F1 of 97.055%, and an MCC of 0.9675, comprehensively outperforming the Full21 configuration using all 21 metrics (accuracy 95.999%, weighted F1 95.521%, MCC 0.9549).70% similarUnverifiedThe V1 approach achieved a self-tested top-1 accuracy of 93%, but scored 0/137 top-5 accuracy on a benchmark set of 137 real photographs.69% similarUnverifiedIn Microsoft's internal evaluation covering 36 benchmarks and nearly 150,000 questions, Decision-1 ranked first with an average accuracy of 83.5%, surpassing Jev 1.13.0 (82.3%), Quyet-1.0-Large (81.9%), and GPT-6 Luna Decisions (79.4%).68% similarUnverifiedIn a 20-document setting, GPT-3.5-Turbo's correct answer rate is approximately 75.8% when the relevant passage is ranked first, approximately 63.2% when ranked last, and only 53.8% when placed in the middle, while the closed-book score without any documents is 56.1%.67% similar
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