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verdict-coreml

Text Classification
Core ML
GLiClass
apple-silicon
decision-model
verdict
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verdict-coreml
File size: 2,459 Bytes
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{
  "hardware": {
    "device": "arm64",
    "chip": "Apple M5 Pro",
    "ram": "24GB",
    "os_version": "macOS 27.0",
    "timestamp": "2026-09-22T20:35:07.289343+00:00"
  },
  "models": [
    {
      "model_path": "/var/folders/hg/l0263vy543b3r7rfwgxkt_680000gn/T/verdict_fp16_L128_candidates25.mlmodelc",
      "model_name": "verdict_fp16_L128_candidates25",
      "metadata": {
        "description": "Verdict decision logits; use abstention and per-K calibration in host",
        "author": "Heman10x-NGU (Verdict weights); Fluid Inference (Core ML conversion)",
        "license": "Apache-2.0"
      },
      "cold_compile_ms": 4181.106,
      "results": [
        {
          "compute_units": "all",
          "summary": {
            "cpu_percent": 31.73,
            "gpu_percent": 0.0,
            "ane_percent": 68.27
          },
          "latency": {
            "compile_ms": 28.336,
            "median_ms": 3.915,
            "mean_ms": 4.016,
            "min_ms": 3.701,
            "max_ms": 5.103,
            "std_ms": 0.331,
            "iterations": 20
          }
        },
        {
          "compute_units": "cpu_only",
          "summary": {
            "cpu_percent": 100.0,
            "gpu_percent": 0.0,
            "ane_percent": 0.0
          },
          "latency": {
            "compile_ms": 0.414,
            "median_ms": 11.721,
            "mean_ms": 11.715,
            "min_ms": 11.541,
            "max_ms": 11.985,
            "std_ms": 0.104,
            "iterations": 20
          }
        },
        {
          "compute_units": "cpu_and_gpu",
          "summary": {
            "cpu_percent": 0.0,
            "gpu_percent": 100.0,
            "ane_percent": 0.0
          },
          "latency": {
            "compile_ms": 1.007,
            "median_ms": 3.627,
            "mean_ms": 3.651,
            "min_ms": 3.502,
            "max_ms": 3.896,
            "std_ms": 0.116,
            "iterations": 20
          }
        },
        {
          "compute_units": "cpu_and_neural_engine",
          "summary": {
            "cpu_percent": 31.73,
            "gpu_percent": 0.0,
            "ane_percent": 68.27
          },
          "latency": {
            "compile_ms": 23.874,
            "median_ms": 3.71,
            "mean_ms": 3.739,
            "min_ms": 3.574,
            "max_ms": 4.226,
            "std_ms": 0.153,
            "iterations": 20
          }
        }
      ]
    }
  ]
}