LAVA LAVA LEX402 vs LAVA LAVA LEX402
| LAVA LAVA LEX402 | LAVA LAVA LEX402 | Difference | |
|---|---|---|---|
| Single Precision | 167 | 167 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Half Precision | 156 | 156 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Quantized | 165 | 165 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| LAVA LAVA LEX402 | LAVA LAVA LEX402 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM MT6762G | ARM MT6762G |
| Operating System | Android 12 | Android 12 |
| Model | LAVA LAVA LEX402 | LAVA LAVA LEX402 |
| Processor |
ARM MT6762G @ 2.00 GHz
1 Processor, 8 Cores |
ARM MT6762G @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Motherboard | k62v1_64_bsp | k62v1_64_bsp |
| Memory | 2.76 GB | 2.76 GB |
AI Performance
| LAVA LAVA LEX402 | LAVA LAVA LEX402 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 126 | 126 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Classification (HP) | 92 | 92 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Classification (Q) | 132 | 132 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Segmentation (SP) | 111 | 111 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Segmentation (HP) | 113 | 113 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Segmentation (Q) | 185 | 185 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Pose Estimation (SP) | 450 | 450 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Pose Estimation (HP) | 437 | 437 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Pose Estimation (Q) | 316 | 316 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Object Detection (SP) | 68 | 68 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Object Detection (HP) | 71 | 71 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Object Detection (Q) | 81 | 81 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Face Detection (SP) | 177 | 177 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Face Detection (HP) | 172 | 172 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Face Detection (Q) | 269 | 269 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Depth Estimation (SP) | 267 | 267 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Depth Estimation (HP) | 175 | 175 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Depth Estimation (Q) | 234 | 234 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Style Transfer (SP) | 678 | 678 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Style Transfer (HP) | 733 | 733 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Style Transfer (Q) | 673 | 673 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Super-Resolution (SP) | 110 | 110 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Super-Resolution (HP) | 105 | 105 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Super-Resolution (Q) | 165 | 165 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Text Classification (SP) | 88 | 88 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Text Classification (HP) | 87 | 87 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Text Classification (Q) | 79 | 79 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Machine Translation (SP) | 132 | 132 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Machine Translation (HP) | 133 | 133 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Machine Translation (Q) | 46 | 46 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
