TruFor-DnCNN-CoreML-FP16 / validation.json
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Publish TruFor DnCNN Core ML FP16
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{
"device": "Apple M4",
"macOS": "26.4.1",
"sourceWeightsSHA256": "3b2c7146303e984c43b51f26e38d093c8b2ebba9a13e41bb029a98aa5b29783c",
"submodel": "TruFor DnCNN Noiseprint++ 17-convolution body only",
"coreMLPrecision": "FP16 internal weights and activations; FP32 interface",
"tile": {
"inputShapeRGB": [1, 3, 546, 546],
"inputShapeValidity": [1, 1, 546, 546],
"outputCompared": [512, 512],
"haloPixels": 17,
"fp16NoiseprintMaxAbsoluteError": 0.24374610185623169,
"fp16NoiseprintRelativeRMS": 0.5971685071177092,
"fp32CoreMLMaxAbsoluteError": 0.0004192143678665161,
"fp32CoreMLRelativeRMS": 0.0007005027332581356
},
"fullPipeline": {
"image": "2000x2000 maximum.png",
"nativeFP32Score": 0.07796163111925125,
"coreMLFP16DnCNNScore": 0.08476334810256958,
"scoreRelativeChangePercent": 8.724442,
"coreMLFP16WarmWorkerProfileMilliseconds": [15247.0, 12239.4],
"coreMLFP16OneShotPredictionMilliseconds": 12612.7,
"peakPhysicalBytes": 1062667584,
"budgetBytes": 2000000000,
"repeatedCoreMLFP16Scores": [0.08476334810256958, 0.08476334810256958],
"evaluationNote": "One image; no labeled accuracy or calibration claim. Remaining TruFor stages used native MLX FP32."
}
}