KYOCERA KC-S305 vs KYOCERA KC-S305
| KYOCERA KC-S305 | KYOCERA KC-S305 | Difference | |
|---|---|---|---|
| Single Precision | 139 | 139 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Half Precision | 191 | 191 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Quantized | 190 | 190 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| KYOCERA KC-S305 | KYOCERA KC-S305 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | KYOCERA KC-S305 | KYOCERA KC-S305 |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Motherboard | k6835v1_64 | k6835v1_64 |
| Memory | 3.57 GB | 3.57 GB |
AI Performance
| KYOCERA KC-S305 | KYOCERA KC-S305 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 90 | 90 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Image Classification (HP) | 158 | 158 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Image Classification (Q) | 149 | 149 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Image Segmentation (SP) | 127 | 127 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Image Segmentation (HP) | 214 | 214 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Image Segmentation (Q) | 210 | 210 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Pose Estimation (SP) | 87 | 87 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Pose Estimation (HP) | 104 | 104 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Pose Estimation (Q) | 104 | 104 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Object Detection (SP) | 76 | 76 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Object Detection (HP) | 125 | 125 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Object Detection (Q) | 116 | 116 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Face Detection (SP) | 287 | 287 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Face Detection (HP) | 406 | 406 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Face Detection (Q) | 388 | 388 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Depth Estimation (SP) | 171 | 171 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Depth Estimation (HP) | 218 | 218 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Depth Estimation (Q) | 176 | 176 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Style Transfer (SP) | 334 | 334 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Style Transfer (HP) | 470 | 470 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Style Transfer (Q) | 468 | 468 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Image Super-Resolution (SP) | 85 | 85 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Image Super-Resolution (HP) | 133 | 133 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Image Super-Resolution (Q) | 132 | 132 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Text Classification (SP) | 130 | 130 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Text Classification (HP) | 131 | 131 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Text Classification (Q) | 240 | 240 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Machine Translation (SP) | 211 | 211 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Machine Translation (HP) | 211 | 211 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
| Machine Translation (Q) | 164 | 164 | 100.0% |
| KYOCERA KC-S305 | |||
| KYOCERA KC-S305 | |||
