LAVA LAVA LEX402 vs LAVA LAVA LEX402
| LAVA LAVA LEX402 | LAVA LAVA LEX402 | Difference | |
|---|---|---|---|
| Single Precision | 214 | 214 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Half Precision | 224 | 224 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Quantized | 206 | 206 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
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) | 141 | 141 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Classification (HP) | 133 | 133 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Classification (Q) | 88 | 88 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Segmentation (SP) | 118 | 118 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Segmentation (HP) | 98 | 98 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Segmentation (Q) | 127 | 127 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Pose Estimation (SP) | 427 | 427 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Pose Estimation (HP) | 528 | 528 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Pose Estimation (Q) | 388 | 388 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Object Detection (SP) | 114 | 114 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Object Detection (HP) | 120 | 120 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Object Detection (Q) | 167 | 167 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Face Detection (SP) | 304 | 304 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Face Detection (HP) | 308 | 308 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Face Detection (Q) | 456 | 456 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Depth Estimation (SP) | 421 | 421 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Depth Estimation (HP) | 375 | 375 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Depth Estimation (Q) | 354 | 354 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Style Transfer (SP) | 590 | 590 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Style Transfer (HP) | 870 | 870 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Style Transfer (Q) | 867 | 867 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Super-Resolution (SP) | 178 | 178 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Super-Resolution (HP) | 179 | 179 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Image Super-Resolution (Q) | 205 | 205 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Text Classification (SP) | 121 | 121 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Text Classification (HP) | 126 | 126 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Text Classification (Q) | 107 | 107 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Machine Translation (SP) | 154 | 154 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Machine Translation (HP) | 172 | 172 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
| Machine Translation (Q) | 62 | 62 | 100.0% |
| LAVA LAVA LEX402 | |||
| LAVA LAVA LEX402 | |||
