EVO-T1 vs EVO-T1
| EVO-T1 | EVO-T1 | Difference | |
|---|---|---|---|
| Single Precision | 4493 | 4493 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Half Precision | 1979 | 1979 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Quantized | 8755 | 8755 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Geekbench AI 1.6.0 | Geekbench AI 1.6.0 | ||
System Information
| EVO-T1 | EVO-T1 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Core Ultra 9 285H | Intel Core Ultra 9 285H |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-T1 | GMKtec NucBox_EVO-T1 |
| Processor |
Intel Core Ultra 9 285H @ 2.90 GHz
1 Processor, 16 Cores |
Intel Core Ultra 9 285H @ 2.90 GHz
1 Processor, 16 Cores |
| Processor ID | GenuineIntel Family 6 Model 197 Stepping 2 | GenuineIntel Family 6 Model 197 Stepping 2 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | GMKtec GMKtec | GMKtec GMKtec |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. NucBox EVO-T1 V1.05 | American Megatrends International, LLC. NucBox EVO-T1 V1.05 |
| Memory | 64.00 GB | 64.00 GB |
AI Performance
| EVO-T1 | EVO-T1 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 3553 | 3553 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Image Classification (HP) | 743 | 743 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Image Classification (Q) | 7550 | 7550 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Image Segmentation (SP) | 1883 | 1883 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Image Segmentation (HP) | 1305 | 1305 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Image Segmentation (Q) | 10488 | 10488 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Pose Estimation (SP) | 7722 | 7722 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Pose Estimation (HP) | 5587 | 5587 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Pose Estimation (Q) | 27052 | 27052 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Object Detection (SP) | 3345 | 3345 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Object Detection (HP) | 926 | 926 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Object Detection (Q) | 8182 | 8182 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Face Detection (SP) | 7870 | 7870 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Face Detection (HP) | 2115 | 2115 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Face Detection (Q) | 10494 | 10494 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Depth Estimation (SP) | 9412 | 9412 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Depth Estimation (HP) | 2805 | 2805 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Depth Estimation (Q) | 17522 | 17522 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Style Transfer (SP) | 18109 | 18109 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Style Transfer (HP) | 13186 | 13186 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Style Transfer (Q) | 23822 | 23822 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Image Super-Resolution (SP) | 3327 | 3327 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Image Super-Resolution (HP) | 2473 | 2473 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Image Super-Resolution (Q) | 5935 | 5935 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Text Classification (SP) | 1766 | 1766 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Text Classification (HP) | 799 | 799 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Text Classification (Q) | 1539 | 1539 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Machine Translation (SP) | 2465 | 2465 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Machine Translation (HP) | 1193 | 1193 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
| Machine Translation (Q) | 3775 | 3775 | 100.0% |
| EVO-T1 | |||
| EVO-T1 | |||
