Getac ZX80 vs Getac ZX80
| Getac ZX80 | Getac ZX80 | Difference | |
|---|---|---|---|
| Single Precision | 57 | 57 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Half Precision | 57 | 57 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Quantized | 148 | 148 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Geekbench AI 1.0.0 | Geekbench AI 1.0.0 | ||
System Information
| Getac ZX80 | Getac ZX80 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 13 | Android 13 |
| Model | Getac ZX80 | Getac ZX80 |
| Processor |
ARM ARMv8 @ 1.96 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.96 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Motherboard | lahaina | lahaina |
| Memory | 7.13 GB | 7.13 GB |
AI Performance
| Getac ZX80 | Getac ZX80 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 33 | 33 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Image Classification (HP) | 33 | 33 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Image Classification (Q) | 99 | 99 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Image Segmentation (SP) | 44 | 44 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Image Segmentation (HP) | 45 | 45 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Image Segmentation (Q) | 90 | 90 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Pose Estimation (SP) | 53 | 53 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Pose Estimation (HP) | 53 | 53 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Pose Estimation (Q) | 269 | 269 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Object Detection (SP) | 34 | 34 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Object Detection (HP) | 34 | 34 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Object Detection (Q) | 110 | 110 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Face Detection (SP) | 79 | 79 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Face Detection (HP) | 80 | 80 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Face Detection (Q) | 210 | 210 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Depth Estimation (SP) | 72 | 72 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Depth Estimation (HP) | 73 | 73 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Depth Estimation (Q) | 206 | 206 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Style Transfer (SP) | 139 | 139 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Style Transfer (HP) | 139 | 139 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Style Transfer (Q) | 385 | 385 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Image Super-Resolution (SP) | 41 | 41 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Image Super-Resolution (HP) | 42 | 42 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Image Super-Resolution (Q) | 151 | 151 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Text Classification (SP) | 52 | 52 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Text Classification (HP) | 52 | 52 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Text Classification (Q) | 98 | 98 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Machine Translation (SP) | 89 | 89 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Machine Translation (HP) | 89 | 89 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
| Machine Translation (Q) | 80 | 80 | 100.0% |
| Getac ZX80 | |||
| Getac ZX80 | |||
