--- library_name: mobilint pipeline_tag: image-classification tags: - mobilint license: bsd-3-clause base_model_relation: quantized --- # GoogLeNet_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/GoogLeNet_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 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 0.69776, top5_accuracy 0.8947. Only the evaluated core mode was measured. SHA-256: `d3ad456226d043d7ba9adb9d45ed8c8c61ef3e8353ef3d26836d95bd71fbf83f` (9129250 bytes). Verify a download with `sha256sum .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": "GoogLeNet_IMAGENET1K_V1", "variant": "baseline", "qbcompiler": "1.3.0", "qbruntime": "1.5.0", "compile": { "image_tag": "1.3-cuda12.8.1-ubuntu22.04", "image_digest": "sha256:6ad69aaa9581487ac6a1864b88d4c2179c7a4a486a3ab1ac376dbdfe763415e7", "inference_scheme": "all", "device": "gpu" }, "evaluation": { "dataset": "imagenet", "sample_count": 50000, "primary": { "top1_accuracy": 0.69776 }, "secondary": { "top5_accuracy": 0.8947 }, "protocol": null, "eval_data_identity": { "annotation_sha256": "f00550c10ff1d4110abc683786b6cc09d5082dadd3cee1568f5cfa1dad962960", "sample_list_sha256": "54446819dced83110352e5a0361ff05b19c331c5a9802dcb0222e6d1e44a0547" }, "identity_audit": "verified", "inference_mode": "async", "image_tag": "1.3-cpu-ubuntu22.04", "image_digest": "sha256:7c25b894fc0807acdf27f15c61b910b96dc66d3f5d97e04b595b2d7a8008e77c" }, "retention_percent": { "top1_accuracy": 102.25987044581882 }, "content_sha256": "b193f842f3f28831a35a419616ada7f9948b9380dcd3c17c14016fc3478d9375", "attempt_id": "GoogLeNet_IMAGENET1K_V1-jinman-coreall-79ed966bba53", "superseded_attempt_ids": [], "sha256": "d3ad456226d043d7ba9adb9d45ed8c8c61ef3e8353ef3d26836d95bd71fbf83f", "format": "MXQv7", "supported_modes": [ "single", "multi", "global4", "global8" ], "size": 9129250, "ops_commits": { "selection": "fd3ef917cdf31869fa65fdc69e3c727f7e48f50c" }, "arxiv_folder": "https://github.com/mobilint/mblt-model-arxiv/tree/main/models/image_classification/GoogLeNet_IMAGENET1K_V1", "publication": { "status": "public", "reason": "approved" } } ```