Model card
EfficientNet-B7.
Googleopen-source66M paramsCNNApache 2.0
84.4% on ImageNet. 8.4x smaller than GPipe.
§ 01 · Benchmarks
Every benchmark EfficientNet-B7 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | CIFAR-100 | Computer Vision · Image Classification | accuracy | 91.7% | #2 | — | source ↗ |
| 02 | ImageNet-1K | Computer Vision · Image Classification | top-1-accuracy | 84.4% | #12 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where EfficientNet-B7 actually performs.
§ 04 · Related models
Other Google models scored on Codesota.
Gemini 2.5 Pro
16 results · 3 SOTA
Gemini 3 Pro
Undisclosed params · 13 results · 2 SOTA
Gemini 1.5 Pro
12 results · 1 SOTA
Gemini 3.1 Pro
3 results · 1 SOTA
ViT-H/14
632M params · 2 results · 1 SOTA
CoCa (finetuned)
2.1B params · 1 result · 1 SOTA
Gemini 2.0 Flash
1 result · 1 SOTA
Gemini 3.1 Pro Preview
1 result · 1 SOTA
§ 05 · Sources & freshness
Where these numbers come from.
google-research
2
results
0 of 2 rows marked verified.