alps k65v1_64_bsp vs alps k65v1_64_bsp
| alps k65v1_64_bsp | alps k65v1_64_bsp | Difference | |
|---|---|---|---|
| Single Precision | 34 | 34 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Half Precision | 34 | 34 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Quantized | 61 | 61 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| alps k65v1_64_bsp | alps k65v1_64_bsp | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | alps k65v1_64_bsp | alps k65v1_64_bsp |
| Processor |
ARM ARMv8 @ 2.20 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.20 GHz
1 Processor, 8 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 | k65v1_64_bsp | k65v1_64_bsp |
| Memory | 3.75 GB | 3.75 GB |
AI Performance
| alps k65v1_64_bsp | alps k65v1_64_bsp | Difference | |
|---|---|---|---|
| Image Classification (SP) | 21 | 21 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Image Classification (HP) | 21 | 21 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Image Classification (Q) | 38 | 38 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Image Segmentation (SP) | 28 | 28 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Image Segmentation (HP) | 28 | 28 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Image Segmentation (Q) | 46 | 46 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Pose Estimation (SP) | 34 | 34 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Pose Estimation (HP) | 33 | 33 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Pose Estimation (Q) | 81 | 81 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Object Detection (SP) | 21 | 21 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Object Detection (HP) | 22 | 22 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Object Detection (Q) | 40 | 40 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Face Detection (SP) | 48 | 48 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Face Detection (HP) | 48 | 48 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Face Detection (Q) | 98 | 98 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Depth Estimation (SP) | 44 | 44 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Depth Estimation (HP) | 43 | 43 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Depth Estimation (Q) | 78 | 78 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Style Transfer (SP) | 75 | 75 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Style Transfer (HP) | 75 | 75 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Style Transfer (Q) | 179 | 179 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Image Super-Resolution (SP) | 25 | 25 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Image Super-Resolution (HP) | 25 | 25 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Image Super-Resolution (Q) | 50 | 50 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Text Classification (SP) | 30 | 30 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Text Classification (HP) | 30 | 30 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Text Classification (Q) | 47 | 47 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Machine Translation (SP) | 50 | 50 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Machine Translation (HP) | 51 | 51 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
| Machine Translation (Q) | 42 | 42 | 100.0% |
| alps k65v1_64_bsp | |||
| alps k65v1_64_bsp | |||
