AI models
SexNet compression
Training compute
7.9×10¹⁰ FLOP
Parameters
72.9K
Published
Oct 1, 1990
SexNet compression is an AI model, first published in October 1990. It works in the vision domain, on tasks such as image representation. It counts among the frontier models: the systems trained with the most compute of their moment.
Training it took an estimated 7.9×10¹⁰ FLOP of compute (estimation method: operation counting). The model has 72,940 parameters. It was trained on roughly 81K datapoints.
Epoch AI rates the confidence of this record as confident.
Full record
- Domain
- Vision
- Task
- Image representation
- Training compute
- 7.9×10¹⁰ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 72,940
- Dataset size
- 81K
- Epoch confidence
- Confident
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SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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