AI models
LCNP MNIST
Training compute
4.2×10¹⁵ FLOP
Parameters
11.6M
Published
Nov 22, 2009
LCNP MNIST is an AI model, first published in November 2009. It works in the vision domain, on tasks such as object recognition. It counts among the frontier models: the systems trained with the most compute of their moment.
Training it took an estimated 4.2×10¹⁵ FLOP of compute (estimation method: operation counting). The model has 11,616,256 parameters. It was trained on roughly 50K datapoints.
Epoch AI rates the confidence of this record as confident.
Full record
- Domain
- Vision
- Task
- Object recognition
- Training compute
- 4.2×10¹⁵ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 11,616,256
- Dataset size
- 50K
- 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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