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GLiNER2.5-Decide Core ML: fp16/W8/LUT6 at L128, L256, L512 (mobius 01e6e6a)
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{
"machine": "Apple M5 Pro, macOS 27.0, compute units ALL",
"request": "three-head email triage request (benchmark-latency.py), 10 warmups, 100 calls, Python coremltools predict",
"gliner2_decide_classification_fp16_L128_H4_K8.mlpackage": {
"p50_ms": 8.18,
"p95_ms": 10.33
},
"gliner2_decide_classification_w8_L128_H4_K8.mlpackage": {
"p50_ms": 10.09,
"p95_ms": 12.98
},
"gliner2_decide_classification_lut6_L128_H4_K8.mlpackage": {
"p50_ms": 9.89,
"p95_ms": 14.45
},
"gliner2_decide_classification_fp16_L256_H4_K32.mlpackage": {
"p50_ms": 14.71,
"p95_ms": 16.69
},
"gliner2_decide_classification_w8_L256_H4_K32.mlpackage": {
"p50_ms": 20.58,
"p95_ms": 38.79
},
"gliner2_decide_classification_lut6_L256_H4_K32.mlpackage": {
"p50_ms": 17.58,
"p95_ms": 24.61
},
"gliner2_decide_classification_fp16_L512_H4_K32.mlpackage": {
"p50_ms": 44.02,
"p95_ms": 98.99
},
"gliner2_decide_classification_w8_L512_H4_K32.mlpackage": {
"p50_ms": 42.93,
"p95_ms": 66.93
},
"gliner2_decide_classification_lut6_L512_H4_K32.mlpackage": {
"p50_ms": 62.95,
"p95_ms": 71.11
},
"cpu_and_ne": {
"gliner2_decide_classification_fp16_L256_H4_K32.mlpackage": {
"p50_ms": 689.15,
"p95_ms": 1266.79,
"calls": 30
}
}
}