Codesota · Models · ConvNeXt V2 BaseMeta1 results · 1 benchmarks
Model card

ConvNeXt V2 Base.

Metaopen-source89M paramsCNNMIT

Good balance of speed and accuracy.

§ 02 · Benchmarks

Every benchmark ConvNeXt V2 Base has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01CIFAR-10Computer Vision · Image Classificationaccuracy98.7%#5/9source ↗
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 ConvNeXt V2 Base actually performs.

Computer Vision
1
benchmark
avg rank #5.0
§ 05 · Related models

Other Meta models scored on Codesota.

Llama 3 70B
9 results
Llama 3 (405B, Instruct)
7 results
Llama 3.1 405B
7 results
Llama 4 Maverick
400B total / 17B active (128 experts) params · 7 results
Llama 3.1 70B
4 results
Code Llama 34B
Unknown params · 2 results
ConvNeXt V2 Huge
650M params · 2 results
DeiT-B Distilled
86M params · 2 results
§ 06 · Sources & freshness

Where these numbers come from.

meta-research
1
result
0 of 1 rows marked verified.