LAVA LAVA LEX402 vs LAVA LAVA LEX402
| LAVA LAVA LEX402 | LAVA LAVA LEX402 | Difference | |
|---|---|---|---|
| Single Precision | 223 | 223 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Half Precision | 226 | 226 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Quantized | 225 | 225 | 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) | 136 | 136 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Classification (HP) | 132 | 132 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Classification (Q) | 161 | 161 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Segmentation (SP) | 151 | 151 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Segmentation (HP) | 155 | 155 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Segmentation (Q) | 280 | 280 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Pose Estimation (SP) | 565 | 565 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Pose Estimation (HP) | 529 | 529 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Pose Estimation (Q) | 360 | 360 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Object Detection (SP) | 110 | 110 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Object Detection (HP) | 105 | 105 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Object Detection (Q) | 145 | 145 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Face Detection (SP) | 276 | 276 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Face Detection (HP) | 275 | 275 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Face Detection (Q) | 432 | 432 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Depth Estimation (SP) | 350 | 350 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Depth Estimation (HP) | 394 | 394 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Depth Estimation (Q) | 345 | 345 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Style Transfer (SP) | 901 | 901 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Style Transfer (HP) | 903 | 903 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Style Transfer (Q) | 895 | 895 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Super-Resolution (SP) | 160 | 160 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Super-Resolution (HP) | 181 | 181 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Super-Resolution (Q) | 197 | 197 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Text Classification (SP) | 115 | 115 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Text Classification (HP) | 115 | 115 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Text Classification (Q) | 104 | 104 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Machine Translation (SP) | 153 | 153 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Machine Translation (HP) | 152 | 152 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Machine Translation (Q) | 53 | 53 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
