alps M2C-300 vs alps M2C-300
| alps M2C-300 | alps M2C-300 | Difference | |
|---|---|---|---|
| Single Precision | 191 | 191 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Half Precision | 200 | 200 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Quantized | 213 | 213 | 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 | CPU | CPU |
| 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) | 94 | 94 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Classification (HP) | 93 | 93 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Classification (Q) | 140 | 140 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Segmentation (SP) | 128 | 128 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Segmentation (HP) | 128 | 128 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Segmentation (Q) | 195 | 195 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Pose Estimation (SP) | 477 | 477 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Pose Estimation (HP) | 475 | 475 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Pose Estimation (Q) | 315 | 315 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Object Detection (SP) | 99 | 99 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Object Detection (HP) | 98 | 98 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Object Detection (Q) | 139 | 139 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Face Detection (SP) | 248 | 248 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Face Detection (HP) | 251 | 251 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Face Detection (Q) | 379 | 379 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Depth Estimation (SP) | 210 | 210 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Depth Estimation (HP) | 328 | 328 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Depth Estimation (Q) | 316 | 316 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Style Transfer (SP) | 809 | 809 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Style Transfer (HP) | 830 | 830 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Style Transfer (Q) | 776 | 776 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Super-Resolution (SP) | 170 | 170 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Super-Resolution (HP) | 169 | 169 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Image Super-Resolution (Q) | 182 | 182 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Text Classification (SP) | 97 | 97 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Text Classification (HP) | 98 | 98 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Text Classification (Q) | 120 | 120 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Machine Translation (SP) | 169 | 169 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Machine Translation (HP) | 168 | 168 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
| Machine Translation (Q) | 81 | 81 | 100.0% |
| alps M2C-300 | |||
| alps M2C-300 | |||
