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.
{
"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"
}
}