Codesota · Models · EfficientNetV2-XLGoogle1 results · 1 benchmarks
Model card

EfficientNetV2-XL.

GoogleImage classificationEfficientNetV2open

EfficientNetV2-XL remains a useful classifier baseline when inference cost matters and the task does not require a large ViT backbone.

§ 02 · Benchmarks

Every benchmark EfficientNetV2-XL has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01ImageNetComputer vision · Image classificationtop-1 accuracy87.3%#4/62026-04-22source ↗
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.
§ 03 · Strengths by area

Where EfficientNetV2-XL actually performs.

Computer vision
1
benchmark
avg rank #4.0
§ 05 · Related models

Other Google models scored on Codesota.

Gemini 1.5 Pro
21 results
Gemini 2.5 Pro
16 results
Gemini 3 Pro
Undisclosed params · 13 results
Gemini-3.1-Pro
11 results
Gemma-3-27b
27B params · 11 results
Gemma 3 (27B, IT)
9 results
Gemma-2-27b-it
9 results
gemma-3-12b-it
9 results
§ 06 · Sources & freshness

Where these numbers come from.

Codesota vision register
1
result
1 of 1 rows marked verified.