LGE LM-V600 vs LGE LM-V600
| LGE LM-V600 | LGE LM-V600 | Difference | |
|---|---|---|---|
| Single Precision | 1175 | 1175 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Half Precision | 1180 | 1180 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Quantized | 2090 | 2090 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| LGE LM-V600 | LGE LM-V600 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM Qualcomm | ARM Qualcomm |
| Operating System | Android 13 | Android 13 |
| Model | LGE LM-V600 | LGE LM-V600 |
| Processor |
ARM Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
ARM Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Motherboard | kona | kona |
| Memory | 7.49 GB | 7.49 GB |
AI Performance
| LGE LM-V600 | LGE LM-V600 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 526 | 526 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Image Classification (HP) | 559 | 559 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Image Classification (Q) | 1506 | 1506 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Image Segmentation (SP) | 686 | 686 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Image Segmentation (HP) | 689 | 689 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Image Segmentation (Q) | 1718 | 1718 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Pose Estimation (SP) | 2544 | 2544 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Pose Estimation (HP) | 2486 | 2486 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Pose Estimation (Q) | 3837 | 3837 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Object Detection (SP) | 530 | 530 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Object Detection (HP) | 547 | 547 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Object Detection (Q) | 1470 | 1470 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Face Detection (SP) | 1695 | 1695 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Face Detection (HP) | 1699 | 1699 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Face Detection (Q) | 3471 | 3471 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Depth Estimation (SP) | 2184 | 2184 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Depth Estimation (HP) | 2188 | 2188 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Depth Estimation (Q) | 3501 | 3501 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Style Transfer (SP) | 4335 | 4335 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Style Transfer (HP) | 4297 | 4297 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Style Transfer (Q) | 8965 | 8965 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Image Super-Resolution (SP) | 1224 | 1224 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Image Super-Resolution (HP) | 1219 | 1219 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Image Super-Resolution (Q) | 2098 | 2098 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Text Classification (SP) | 581 | 581 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Text Classification (HP) | 579 | 579 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Text Classification (Q) | 907 | 907 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Machine Translation (SP) | 911 | 911 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Machine Translation (HP) | 887 | 887 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
| Machine Translation (Q) | 528 | 528 | 100.0% |
| LGE LM-V600 | |||
| LGE LM-V600 | |||
