KYOCERA A101BM vs KYOCERA A101BM
| KYOCERA A101BM | KYOCERA A101BM | Difference | |
|---|---|---|---|
| Single Precision | 152 | 152 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Half Precision | 260 | 260 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Quantized | 261 | 261 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| KYOCERA A101BM | KYOCERA A101BM | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | Qualcomm Qualcomm | Qualcomm Qualcomm |
| Operating System | Android 12 | Android 12 |
| Model | KYOCERA A101BM | KYOCERA A101BM |
| Processor |
Qualcomm Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
Qualcomm Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Motherboard | lito | lito |
| Memory | 5.36 GB | 5.36 GB |
AI Performance
| KYOCERA A101BM | KYOCERA A101BM | Difference | |
|---|---|---|---|
| Image Classification (SP) | 86 | 86 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Image Classification (HP) | 148 | 148 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Image Classification (Q) | 159 | 159 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Image Segmentation (SP) | 114 | 114 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Image Segmentation (HP) | 239 | 239 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Image Segmentation (Q) | 240 | 240 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Pose Estimation (SP) | 153 | 153 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Pose Estimation (HP) | 264 | 264 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Pose Estimation (Q) | 263 | 263 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Object Detection (SP) | 74 | 74 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Object Detection (HP) | 112 | 112 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Object Detection (Q) | 117 | 117 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Face Detection (SP) | 219 | 219 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Face Detection (HP) | 447 | 447 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Face Detection (Q) | 470 | 470 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Depth Estimation (SP) | 200 | 200 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Depth Estimation (HP) | 417 | 417 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Depth Estimation (Q) | 343 | 343 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Style Transfer (SP) | 355 | 355 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Style Transfer (HP) | 939 | 939 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Style Transfer (Q) | 935 | 935 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Image Super-Resolution (SP) | 89 | 89 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Image Super-Resolution (HP) | 176 | 176 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Image Super-Resolution (Q) | 173 | 173 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Text Classification (SP) | 166 | 166 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Text Classification (HP) | 165 | 165 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Text Classification (Q) | 276 | 276 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Machine Translation (SP) | 262 | 262 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Machine Translation (HP) | 268 | 268 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
| Machine Translation (Q) | 177 | 177 | 100.0% |
| KYOCERA A101BM | |||
| KYOCERA A101BM | |||
