alps M2C-300 vs alps M2C-300
| alps M2C-300 | alps M2C-300 | Difference | |
|---|---|---|---|
| Single Precision | 16 | 16 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Half Precision | 206 | 206 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Quantized | 161 | 161 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| alps M2C-300 | alps M2C-300 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 13 | Android 13 |
| Model | alps M2C-300 | alps M2C-300 |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 4 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 4 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Motherboard | an300t | an300t |
| Memory | 2.80 GB | 2.80 GB |
AI Performance
| alps M2C-300 | alps M2C-300 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 0 | 0 | |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Classification (HP) | 121 | 121 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Classification (Q) | 111 | 111 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Segmentation (SP) | 82 | 82 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Segmentation (HP) | 180 | 180 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Segmentation (Q) | 163 | 163 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Pose Estimation (SP) | 351 | 351 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Pose Estimation (HP) | 695 | 695 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Pose Estimation (Q) | 682 | 682 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Object Detection (SP) | 0 | 0 | |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Object Detection (HP) | 122 | 122 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Object Detection (Q) | 114 | 114 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Face Detection (SP) | 0 | 0 | |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Face Detection (HP) | 458 | 458 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Face Detection (Q) | 395 | 395 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Depth Estimation (SP) | 1 | 1 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Depth Estimation (HP) | 443 | 443 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Depth Estimation (Q) | 347 | 347 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Style Transfer (SP) | 539 | 539 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Style Transfer (HP) | 1117 | 1117 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Style Transfer (Q) | 1102 | 1102 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Super-Resolution (SP) | 163 | 163 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Super-Resolution (HP) | 289 | 289 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Super-Resolution (Q) | 283 | 283 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Text Classification (SP) | 5 | 5 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Text Classification (HP) | 7 | 7 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Text Classification (Q) | 5 | 5 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Machine Translation (SP) | 108 | 108 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Machine Translation (HP) | 164 | 164 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Machine Translation (Q) | 39 | 39 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
