conquest CONQUEST-S23 vs conquest CONQUEST-S23
| conquest CONQUEST-S23 | conquest CONQUEST-S23 | Difference | |
|---|---|---|---|
| Single Precision | 534 | 534 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Half Precision | 521 | 521 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Quantized | 1082 | 1082 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| conquest CONQUEST-S23 | conquest CONQUEST-S23 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM MT6877V/ZA | ARM MT6877V/ZA |
| Operating System | Android 12 | Android 12 |
| Model | conquest CONQUEST-S23 | conquest CONQUEST-S23 |
| Processor |
ARM MT6877V/ZA @ 2.00 GHz
1 Processor, 8 Cores |
ARM MT6877V/ZA @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Motherboard | k6877v1_64_k419 | k6877v1_64_k419 |
| Memory | 11.36 GB | 11.36 GB |
AI Performance
| conquest CONQUEST-S23 | conquest CONQUEST-S23 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 243 | 243 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Image Classification (HP) | 242 | 242 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Image Classification (Q) | 754 | 754 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Image Segmentation (SP) | 310 | 310 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Image Segmentation (HP) | 291 | 291 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Image Segmentation (Q) | 813 | 813 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Pose Estimation (SP) | 1099 | 1099 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Pose Estimation (HP) | 1057 | 1057 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Pose Estimation (Q) | 1760 | 1760 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Object Detection (SP) | 225 | 225 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Object Detection (HP) | 209 | 209 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Object Detection (Q) | 691 | 691 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Face Detection (SP) | 757 | 757 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Face Detection (HP) | 772 | 772 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Face Detection (Q) | 1743 | 1743 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Depth Estimation (SP) | 977 | 977 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Depth Estimation (HP) | 970 | 970 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Depth Estimation (Q) | 1685 | 1685 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Style Transfer (SP) | 2002 | 2002 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Style Transfer (HP) | 1934 | 1934 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Style Transfer (Q) | 4295 | 4295 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Image Super-Resolution (SP) | 543 | 543 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Image Super-Resolution (HP) | 548 | 548 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Image Super-Resolution (Q) | 1022 | 1022 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Text Classification (SP) | 286 | 286 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Text Classification (HP) | 284 | 284 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Text Classification (Q) | 638 | 638 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Machine Translation (SP) | 442 | 442 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Machine Translation (HP) | 421 | 421 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
| Machine Translation (Q) | 359 | 359 | 100.0% |
| conquest CONQUEST-S23 | |||
| conquest CONQUEST-S23 | |||
