---
library_name: mobilint
license: bsd-3-clause
pipeline_tag: image-classification
tags:
- mobilint
base_model_relation: quantized
---

# EfficientNet_B4_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_B4_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 all`, so it supports the core mode(s) `single`, `multi`, `global4`, `global8` only.

It was evaluated with qbruntime 1.5.0 in `async` inference mode on imagenet (50000 samples): top1_accuracy 0.82386, top5_accuracy 0.95972. Only the evaluated core mode was measured.

SHA-256: `c54435e3c975041aa69c17ace9a224cfe553b9114b29ecaf9b24a06451621a30` (28819691 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_B4_IMAGENET1K_V1",
  "variant": "c0923-nobc",
  "qbcompiler": "1.4.0",
  "qbruntime": "1.5.0",
  "compile": {
    "image_tag": "1.4-cuda12.8.1-ubuntu22.04",
    "image_digest": "sha256:7910f1661605b82eb9616f6ac99fd6461dbb865dcadaa810cce22c638ceffd44",
    "inference_scheme": "all",
    "device": "gpu"
  },
  "evaluation": {
    "dataset": "imagenet",
    "sample_count": 50000,
    "primary": {
      "top1_accuracy": 0.82386
    },
    "secondary": {
      "top5_accuracy": 0.95972
    },
    "protocol": null,
    "eval_data_identity": {
      "annotation_sha256": "f00550c10ff1d4110abc683786b6cc09d5082dadd3cee1568f5cfa1dad962960",
      "sample_list_sha256": "54446819dced83110352e5a0361ff05b19c331c5a9802dcb0222e6d1e44a0547"
    },
    "identity_audit": "verified",
    "inference_mode": "async",
    "image_tag": "1.4-cpu-ubuntu22.04",
    "image_digest": "sha256:62b5bc714571dffd94fb561275767ca80d15337a433630a3ae7936305d531a7b"
  },
  "retention_percent": {
    "top1_accuracy": 98.79127994819771
  },
  "content_sha256": "494121102737bb1ab832fa6bb5d75a95bbc89ee99f5f157d5c7b66ea793940c3",
  "attempt_id": "EfficientNet_B4_IMAGENET1K_V1-jinman-coreall-d74f677c1a03",
  "superseded_attempt_ids": [],
  "sha256": "c54435e3c975041aa69c17ace9a224cfe553b9114b29ecaf9b24a06451621a30",
  "format": "MXQv7",
  "supported_modes": [
    "single",
    "multi",
    "global4",
    "global8"
  ],
  "size": 28819691,
  "ops_commits": {
    "selection": "6cc61b6c4600f8afef654f68ee851d2b65ebac1e"
  },
  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/EfficientNet_B4_IMAGENET1K_V1",
  "publication": {
    "status": "public",
    "reason": "approved"
  }
}
```