| Inference Score |
1238 |
1238 |
100.0% |
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Classification (F32)
|
926
|
926
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Classification (F16)
|
1603
|
1603
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Classification (I8)
|
1275
|
1275
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Segmentation (F32)
|
2350
|
2350
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Segmentation (F16)
|
3949
|
3949
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Image Segmentation (I8)
|
3675
|
3675
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Pose Estimation (F32)
|
1192
|
1192
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Pose Estimation (F16)
|
2065
|
2065
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Pose Estimation (I8)
|
2058
|
2058
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Object Detection (F32)
|
516
|
516
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Object Detection (F16)
|
627
|
627
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Object Detection (I8)
|
679
|
679
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Face Detection (F32)
|
1722
|
1722
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Face Detection (F16)
|
2860
|
2860
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Face Detection (I8)
|
2629
|
2629
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Text Classification (F32)
|
458
|
458
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Text Classification (F16)
|
484
|
484
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Machine Translation (F32)
|
529
|
529
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
|
Machine Translation (F16)
|
533
|
533
|
100.0%
|
|
LGE LM-V600
|
|
|
LGE LM-V600
|
|
