| --- |
| library_name: mobilint |
| license: bsd-3-clause |
| pipeline_tag: image-classification |
| tags: |
| - mobilint |
| base_model_relation: quantized |
| --- |
| |
| # EfficientNet_V2_M_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_V2_M_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 0.84754, top5_accuracy 0.97122. Only the evaluated core mode was measured. |
| |
| SHA-256: `e74c9725ba7008eb638c0530eb06b21350e71b2a808ec69bd6e4804e7b9a11ff` (65004465 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_V2_M_IMAGENET1K_V1", |
| "variant": "c0923-gptaq", |
| "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": 0.84754 |
| }, |
| "secondary": { |
| "top5_accuracy": 0.97122 |
| }, |
| "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": 99.57703785511197 |
| }, |
| "content_sha256": "1cc2b43d4490c77c8c55945b0e2a321306cb8b37f8e0658382df143b98a3f044", |
| "attempt_id": "srcmodes16-efficientnet-v2-m-imagenet1k-v1-20261012t112800", |
| "superseded_attempt_ids": [], |
| "sha256": "e74c9725ba7008eb638c0530eb06b21350e71b2a808ec69bd6e4804e7b9a11ff", |
| "format": "MXQv7", |
| "supported_modes": [ |
| "single" |
| ], |
| "size": 65004465, |
| "ops_commits": { |
| "selection": "66d2f03be3d5af292a3bd707a630737ad5631488" |
| }, |
| "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/EfficientNet_V2_M_IMAGENET1K_V1", |
| "publication": { |
| "status": "public", |
| "reason": "approved" |
| } |
| } |
| ``` |
|
|
