GO
Google
Vision model · United States ·May 2019

EfficientNet-B1

Vision Open (Restricted)
7.8M
Parameters

About EfficientNet-B1

EfficientNet-B1 is an AI model developed by Google, in the vision category, released in 2019, made available as an open-weights model with 0B params.

On this page you'll find EfficientNet-B1's full specifications. Review provider pricing and benchmark scores below, or compare EfficientNet-B1 head-to-head with other vision models.

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Frequently asked questions

What is EfficientNet-B1? ▶

EfficientNet-B1 is an AI model developed by Google, in the vision category, released in 2019. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created EfficientNet-B1? ▶

EfficientNet-B1 was developed by Google and released in 2019.

Is EfficientNet-B1 open source or proprietary? ▶

EfficientNet-B1 ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does EfficientNet-B1 cost? ▶

Pricing for EfficientNet-B1 depends on the provider. See the providers table on this page for the latest API rates.

How does EfficientNet-B1 perform on benchmarks? ▶

Benchmark scores for EfficientNet-B1 are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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