Getac ZX10G2 vs Getac ZX10G2
| Getac ZX10G2 | Getac ZX10G2 | Difference | |
|---|---|---|---|
| Single Precision | 60 | 60 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Half Precision | 60 | 60 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Quantized | 152 | 152 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| Getac ZX10G2 | Getac ZX10G2 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 13 | Android 13 |
| Model | Getac ZX10G2 | Getac ZX10G2 |
| 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 ZX10G2 | Getac ZX10G2 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 34 | 34 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Image Classification (HP) | 35 | 35 | 100.0% |
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| Getac ZX10G2 | |||
| Image Classification (Q) | 104 | 104 | 100.0% |
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| Getac ZX10G2 | |||
| Image Segmentation (SP) | 46 | 46 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Image Segmentation (HP) | 46 | 46 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Image Segmentation (Q) | 92 | 92 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Pose Estimation (SP) | 57 | 57 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Pose Estimation (HP) | 58 | 58 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Pose Estimation (Q) | 279 | 279 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Object Detection (SP) | 35 | 35 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Object Detection (HP) | 36 | 36 | 100.0% |
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| Getac ZX10G2 | |||
| Object Detection (Q) | 116 | 116 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Face Detection (SP) | 82 | 82 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Face Detection (HP) | 83 | 83 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Face Detection (Q) | 222 | 222 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Depth Estimation (SP) | 75 | 75 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Depth Estimation (HP) | 76 | 76 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Depth Estimation (Q) | 194 | 194 | 100.0% |
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| Getac ZX10G2 | |||
| Style Transfer (SP) | 148 | 148 | 100.0% |
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| Getac ZX10G2 | |||
| Style Transfer (HP) | 147 | 147 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Style Transfer (Q) | 398 | 398 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Image Super-Resolution (SP) | 43 | 43 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Image Super-Resolution (HP) | 43 | 43 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Image Super-Resolution (Q) | 156 | 156 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Text Classification (SP) | 54 | 54 | 100.0% |
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| Getac ZX10G2 | |||
| Text Classification (HP) | 55 | 55 | 100.0% |
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| Getac ZX10G2 | |||
| Text Classification (Q) | 101 | 101 | 100.0% |
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| Machine Translation (SP) | 92 | 92 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Machine Translation (HP) | 92 | 92 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
| Machine Translation (Q) | 82 | 82 | 100.0% |
| Getac ZX10G2 | |||
| Getac ZX10G2 | |||
