| Inference Score |
372 |
372 |
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Classification (F32)
|
374
|
374
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Classification (F16)
|
259
|
259
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Classification (I8)
|
199
|
199
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Segmentation (F32)
|
551
|
551
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Segmentation (F16)
|
551
|
551
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Segmentation (I8)
|
870
|
870
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Pose Estimation (F32)
|
258
|
258
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Pose Estimation (F16)
|
261
|
261
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Pose Estimation (I8)
|
237
|
237
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Object Detection (F32)
|
341
|
341
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Object Detection (F16)
|
338
|
338
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Object Detection (I8)
|
272
|
272
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Face Detection (F32)
|
499
|
499
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Face Detection (F16)
|
515
|
515
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Face Detection (I8)
|
520
|
520
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Text Classification (F32)
|
262
|
262
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Text Classification (F16)
|
279
|
279
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Machine Translation (F32)
|
537
|
537
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Machine Translation (F16)
|
537
|
537
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
