Model card
MobileNetV4-L.
GoogleImage classificationMobileNetV4open
Edge-oriented classifier for mobile and embedded deployments where latency, memory and power matter more than leaderboard ceiling.
§ 02 · Benchmarks
Every benchmark MobileNetV4-L has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ImageNet | Computer vision · Image classification | top-1 accuracy | 83.4% | #6 | 2026-04-22 | 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.
§ 03 · Strengths by area
Where MobileNetV4-L actually performs.
§ 05 · Related models
Other Google models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
Codesota vision register
1
result
1 of 1 rows marked verified.