LGE LM-F100N vs LGE LM-F100N
| LGE LM-F100N | LGE LM-F100N | Difference | |
|---|---|---|---|
| Single Precision | 168 | 168 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Half Precision | 259 | 259 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Quantized | 263 | 263 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| LGE LM-F100N | LGE LM-F100N | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | Qualcomm Qualcomm | Qualcomm Qualcomm |
| Operating System | Android 13 | Android 13 |
| Model | LGE LM-F100N | LGE LM-F100N |
| Processor |
Qualcomm Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
Qualcomm Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Motherboard | lito | lito |
| Memory | 7.33 GB | 7.33 GB |
AI Performance
| LGE LM-F100N | LGE LM-F100N | Difference | |
|---|---|---|---|
| Image Classification (SP) | 98 | 98 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Image Classification (HP) | 140 | 140 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Image Classification (Q) | 163 | 163 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Image Segmentation (SP) | 129 | 129 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Image Segmentation (HP) | 257 | 257 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Image Segmentation (Q) | 275 | 275 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Pose Estimation (SP) | 176 | 176 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Pose Estimation (HP) | 237 | 237 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Pose Estimation (Q) | 235 | 235 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Object Detection (SP) | 82 | 82 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Object Detection (HP) | 109 | 109 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Object Detection (Q) | 115 | 115 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Face Detection (SP) | 246 | 246 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Face Detection (HP) | 493 | 493 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Face Detection (Q) | 502 | 502 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Depth Estimation (SP) | 225 | 225 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Depth Estimation (HP) | 419 | 419 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Depth Estimation (Q) | 345 | 345 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Style Transfer (SP) | 396 | 396 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Style Transfer (HP) | 975 | 975 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Style Transfer (Q) | 993 | 993 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Image Super-Resolution (SP) | 101 | 101 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Image Super-Resolution (HP) | 162 | 162 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Image Super-Resolution (Q) | 160 | 160 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Text Classification (SP) | 173 | 173 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Text Classification (HP) | 168 | 168 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Text Classification (Q) | 260 | 260 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Machine Translation (SP) | 259 | 259 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Machine Translation (HP) | 277 | 277 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
| Machine Translation (Q) | 188 | 188 | 100.0% |
| LGE LM-F100N | |||
| LGE LM-F100N | |||
