Freeski C109 vs Freeski C109
| Freeski C109 | Freeski C109 | Difference | |
|---|---|---|---|
| Single Precision | 54 | 54 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Half Precision | 75 | 75 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Quantized | 76 | 76 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| Freeski C109 | Freeski C109 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | Freeski C109 | Freeski C109 |
| Processor |
ARM ARMv8 @ 1.42 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.42 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Motherboard | exdroid | exdroid |
| Memory | 3.64 GB | 3.64 GB |
AI Performance
| Freeski C109 | Freeski C109 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 36 | 36 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Image Classification (HP) | 68 | 68 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Image Classification (Q) | 66 | 66 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Image Segmentation (SP) | 51 | 51 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Image Segmentation (HP) | 85 | 85 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Image Segmentation (Q) | 83 | 83 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Pose Estimation (SP) | 33 | 33 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Pose Estimation (HP) | 39 | 39 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Pose Estimation (Q) | 39 | 39 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Object Detection (SP) | 30 | 30 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Object Detection (HP) | 51 | 51 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Object Detection (Q) | 50 | 50 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Face Detection (SP) | 115 | 115 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Face Detection (HP) | 177 | 177 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Face Detection (Q) | 168 | 168 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Depth Estimation (SP) | 63 | 63 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Depth Estimation (HP) | 83 | 83 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Depth Estimation (Q) | 67 | 67 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Style Transfer (SP) | 126 | 126 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Style Transfer (HP) | 174 | 174 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Style Transfer (Q) | 173 | 173 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Image Super-Resolution (SP) | 33 | 33 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Image Super-Resolution (HP) | 50 | 50 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Image Super-Resolution (Q) | 49 | 49 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Text Classification (SP) | 49 | 49 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Text Classification (HP) | 49 | 49 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Text Classification (Q) | 93 | 93 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Machine Translation (SP) | 82 | 82 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Machine Translation (HP) | 83 | 83 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
| Machine Translation (Q) | 73 | 73 | 100.0% |
| Freeski C109 | |||
| Freeski C109 | |||
