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.
Gemini 2.5 Pro
16 results · 2 SOTA
Gemini-3.1-Pro
7 results · 2 SOTA
Gemini 1.5 Pro
15 results · 1 SOTA
Gemini 3 Pro
Undisclosed params · 12 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
Noise2Music
Unknown params · 1 result · 1 SOTA
§ 06 · Sources & freshness
Where these numbers come from.
Codesota vision register
1
result
1 of 1 rows marked verified.