File size: 2,745 Bytes
1c2ba0a 35229b9 1c2ba0a c3a4c15 1c2ba0a c3a4c15 1c2ba0a c3a4c15 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | ---
library_name: mobilint
license: bsd-3-clause
pipeline_tag: image-classification
tags:
- mobilint
base_model_relation: quantized
---
# EfficientNet_B2_IMAGENET1K_V1
`aries-rb/` holds the MXQ reproduced from the published arxiv folder (https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/EfficientNet_B2_IMAGENET1K_V1). It was compiled by qbcompiler 1.4.0 in the image `mobilint/qbcompiler:1.4-cuda12.8.1-ubuntu22.04` (sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44) with `--inference-scheme single`, so it supports the core mode(s) `single` only.
It was evaluated with qbruntime 1.5.0 in `async` inference mode on imagenet (50000 samples): top1_accuracy 0.79802, top5_accuracy 0.95036. Only the evaluated core mode was measured.
SHA-256: `dcac5b8a95c9897d32dbf4478259343b131c3ab7312f751e14488c89a33ee265` (12513828 bytes). Verify a download with `sha256sum <file>.mxq` and compare the digest with this value and with `aries-rb/metadata.json`.
aries-rb/best_result.json contains legacy build values and is retained for mblt-vision-python compile defaults.
The legacy aries/ directory was removed; mblt-model-zoo <= 2.12 must pin an older revision.
```json
{
"schema_version": 2,
"model": "EfficientNet_B2_IMAGENET1K_V1",
"variant": "c0923-base",
"qbcompiler": "1.4.0",
"qbruntime": "1.5.0",
"compile": {
"image_tag": "1.4-cuda12.8.1-ubuntu22.04",
"image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
"inference_scheme": "single",
"device": "gpu"
},
"evaluation": {
"dataset": "imagenet",
"sample_count": 50000,
"primary": {
"top1_accuracy": 0.79802
},
"secondary": {
"top5_accuracy": 0.95036
},
"protocol": null,
"eval_data_identity": null,
"identity_audit": "absent",
"inference_mode": "async",
"image_tag": "1.4-cpu-ubuntu22.04",
"image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
},
"retention_percent": {
"top1_accuracy": 99.00009924573241
},
"content_sha256": "9bf7a06c3a018b885156ef143382e5bd5caab608b2e74534bee369c17ebbd5df",
"attempt_id": "srcmodes4r1-efficientnet-b2-imagenet1k-v1-20261008t195001",
"superseded_attempt_ids": [],
"sha256": "dcac5b8a95c9897d32dbf4478259343b131c3ab7312f751e14488c89a33ee265",
"format": "MXQv7",
"supported_modes": [
"single"
],
"size": 12513828,
"ops_commits": {
"selection": "66d2f03be3d5af292a3bd707a630737ad5631488"
},
"arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/EfficientNet_B2_IMAGENET1K_V1",
"publication": {
"status": "public",
"reason": "approved"
}
}
```
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