| Inference Score |
1259 |
1259 |
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Classification (F32)
|
956
|
956
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Classification (F16)
|
1457
|
1457
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Classification (I8)
|
1320
|
1320
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Segmentation (F32)
|
2316
|
2316
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Segmentation (F16)
|
3912
|
3912
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Segmentation (I8)
|
3673
|
3673
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Pose Estimation (F32)
|
1213
|
1213
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Pose Estimation (F16)
|
2076
|
2076
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Pose Estimation (I8)
|
2095
|
2095
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Object Detection (F32)
|
475
|
475
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Object Detection (F16)
|
930
|
930
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Object Detection (I8)
|
913
|
913
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Face Detection (F32)
|
1856
|
1856
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Face Detection (F16)
|
3316
|
3316
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Face Detection (I8)
|
2757
|
2757
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Text Classification (F32)
|
477
|
477
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Text Classification (F16)
|
528
|
528
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Machine Translation (F32)
|
386
|
386
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Machine Translation (F16)
|
373
|
373
|
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|