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

# EfficientNet_B3_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_B3_IMAGENET1K_V1). It was compiled by qbcompiler 1.3.0 in the image `mobilint/qbcompiler:1.3-cuda12.8.1-ubuntu22.04` (sha256:6ad69aaa9581487ac6a1864b88d4c2179c7a4a486a3ab1ac376dbdfe763415e7) 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 0.81074, top5_accuracy 0.95656. Only the evaluated core mode was measured.

SHA-256: `a7ff318899c89aaa6ece450f0ffaefaa8348925a0b68eb8c53f00ecbd7a43ccb` (15498521 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_B3_IMAGENET1K_V1",
  "variant": "bias-corr-ls",
  "qbcompiler": "1.3.0",
  "qbruntime": "1.5.0",
  "compile": {
    "image_tag": "1.3-cuda12.8.1-ubuntu22.04",
    "image_digest": "sha256:6ad69aaa9581487ac6a1864b88d4c2179c7a4a486a3ab1ac376dbdfe763415e7",
    "inference_scheme": "single",
    "device": "gpu"
  },
  "evaluation": {
    "dataset": "imagenet",
    "sample_count": 50000,
    "primary": {
      "top1_accuracy": 0.81074
    },
    "secondary": {
      "top5_accuracy": 0.95656
    },
    "protocol": null,
    "eval_data_identity": null,
    "identity_audit": "absent",
    "inference_mode": "async",
    "image_tag": "1.3-cpu-ubuntu22.04",
    "image_digest": "sha256:7c25b894fc0807acdf27f15c61b910b96dc66d3f5d97e04b595b2d7a8008e77c"
  },
  "retention_percent": {
    "top1_accuracy": 98.8586757712474
  },
  "content_sha256": "778f54b9dba2ae1118ef89b52674bba7f301d6e6ca55969d71f6db780c194388",
  "attempt_id": "srcmodes8-efficientnet-b3-imagenet1k-v1-20261009t164855",
  "superseded_attempt_ids": [],
  "sha256": "a7ff318899c89aaa6ece450f0ffaefaa8348925a0b68eb8c53f00ecbd7a43ccb",
  "format": "MXQv7",
  "supported_modes": [
    "single"
  ],
  "size": 15498521,
  "ops_commits": {
    "selection": "66d2f03be3d5af292a3bd707a630737ad5631488"
  },
  "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/EfficientNet_B3_IMAGENET1K_V1",
  "publication": {
    "status": "public",
    "reason": "approved"
  }
}
```