ENT-00001493 · Evaluation System

MLPerf Training

MLPerf Training is a machine learning performance benchmark associated with MLCommons.

Level IV — ConnectedDocumentedStructured

Human readable record

Overview

MLPerf Training is a machine learning performance benchmark associated with MLCommons. The entity is included because it provides a public reference point for AI governance, evaluation, safety, benchmarking, policy or ecosystem documentation.

Timeline

2018MLPerf Training public release or documentation
MLPerf Training appears in public documentation as a machine learning performance benchmark associated with MLCommons.

Capabilities

Public documentation anchorAI governance or evaluation relevanceRelationship mappingRegistry context support

Known limitations

The record documents public identity and source context rather than private internal processes.Interpretation depends on the entity category, source scope and publication context.

Technical and registry detail

Technical description

Structured record for MLPerf Training. The technical layer captures source, public release period, responsible organization, category, role in AI governance or evaluation and relationships to models, benchmarks, safety systems or registry interpretation.

Controlled tags

Evaluation SystemDocumented EntityEstablishedBatch 03 Candidate

Relationship graph

MLPerf Training

Created or maintained byMLCommons

MLPerf Training is associated with MLCommons.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001493",
    "name": "MLPerf Training",
    "alternateName": [],
    "additionalType": "Evaluation System",
    "description": "MLPerf Training is a machine learning performance benchmark associated with MLCommons.",
    "creator": "MLCommons",
    "url": "entity.php?id=ENT-00001493",
    "sameAs": "https://mlcommons.org/benchmarks/training/",
    "lxkeysWorld": {
        "classification": "machine learning performance benchmark",
        "organization": "MLCommons",
        "originContext": "AI governance, evaluation and policy record",
        "firstPublicAppearance": "2018",
        "currentStatus": "Documented",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Public documentation anchor",
            "AI governance or evaluation relevance",
            "Relationship mapping",
            "Registry context support"
        ],
        "limitations": [
            "The record documents public identity and source context rather than private internal processes.",
            "Interpretation depends on the entity category, source scope and publication context."
        ],
        "tags": [
            "Evaluation System",
            "Documented Entity",
            "Established",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2018",
                "title": "MLPerf Training public release or documentation",
                "description": "MLPerf Training appears in public documentation as a machine learning performance benchmark associated with MLCommons."
            }
        ],
        "relationships": [
            {
                "target": "MLCommons",
                "type": "Created or maintained by",
                "description": "MLPerf Training is associated with MLCommons.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "MLPerf Training official reference",
                "url": "https://mlcommons.org/benchmarks/training/",
                "source_type": "Official or Primary Source",
                "verification_status": "verified"
            }
        ]
    }
}

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