N-one Npadplus vs N-one Npadplus
| N-one Npadplus | N-one Npadplus | Difference | |
|---|---|---|---|
| Single Precision | 301 | 301 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Half Precision | 298 | 298 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Quantized | 329 | 329 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Geekbench AI 1.6.1 | Geekbench AI 1.6.1 | ||
System Information
| N-one Npadplus | N-one Npadplus | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM MT8183 | ARM MT8183 |
| Operating System | Android 12 | Android 12 |
| Model | N-one Npadplus | N-one Npadplus |
| Processor |
ARM MT8183 @ 1.99 GHz
1 Processor, 8 Cores |
ARM MT8183 @ 1.99 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Motherboard | tb8788p1_64_wifi_k419 | tb8788p1_64_wifi_k419 |
| Memory | 7.70 GB | 7.70 GB |
AI Performance
| N-one Npadplus | N-one Npadplus | Difference | |
|---|---|---|---|
| Image Classification (SP) | 158 | 158 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Image Classification (HP) | 156 | 156 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Image Classification (Q) | 244 | 244 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Image Segmentation (SP) | 193 | 193 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Image Segmentation (HP) | 189 | 189 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Image Segmentation (Q) | 317 | 317 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Pose Estimation (SP) | 686 | 686 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Pose Estimation (HP) | 686 | 686 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Pose Estimation (Q) | 567 | 567 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Object Detection (SP) | 145 | 145 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Object Detection (HP) | 150 | 150 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Object Detection (Q) | 207 | 207 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Face Detection (SP) | 383 | 383 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Face Detection (HP) | 372 | 372 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Face Detection (Q) | 523 | 523 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Depth Estimation (SP) | 485 | 485 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Depth Estimation (HP) | 470 | 470 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Depth Estimation (Q) | 560 | 560 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Style Transfer (SP) | 1205 | 1205 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Style Transfer (HP) | 1205 | 1205 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Style Transfer (Q) | 1397 | 1397 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Image Super-Resolution (SP) | 270 | 270 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Image Super-Resolution (HP) | 266 | 266 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Image Super-Resolution (Q) | 286 | 286 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Text Classification (SP) | 148 | 148 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Text Classification (HP) | 141 | 141 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Text Classification (Q) | 161 | 161 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Machine Translation (SP) | 230 | 230 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Machine Translation (HP) | 232 | 232 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
| Machine Translation (Q) | 88 | 88 | 100.0% |
| N-one Npadplus | |||
| N-one Npadplus | |||
