DELNB16 vs DELNB16
| DELNB16 | DELNB16 | Difference | |
|---|---|---|---|
| Single Precision | 2633 | 2633 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Half Precision | 956 | 956 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Quantized | 5162 | 5162 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.3.0 | ||
System Information
| DELNB16 | DELNB16 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Core Ultra 7 155H | Intel Core Ultra 7 155H |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MA004UGE | LENOVO 21MA004UGE |
| Processor |
Intel Core Ultra 7 155H @ 1.40 GHz
1 Processor, 16 Cores, 22 Threads |
Intel Core Ultra 7 155H @ 1.40 GHz
1 Processor, 16 Cores, 22 Threads |
| Processor ID | GenuineIntel Family 6 Model 170 Stepping 4 | GenuineIntel Family 6 Model 170 Stepping 4 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | LENOVO 21MA004UGE | LENOVO 21MA004UGE |
| Northbridge | ||
| Southbridge | ||
| BIOS | LENOVO R2JET41W(1.18 ) | LENOVO R2JET41W(1.18 ) |
| Memory | 32.00 GB | 32.00 GB |
AI Performance
| DELNB16 | DELNB16 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 2343 | 2343 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Image Classification (HP) | 399 | 399 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Image Classification (Q) | 4873 | 4873 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Image Segmentation (SP) | 1018 | 1018 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Image Segmentation (HP) | 695 | 695 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Image Segmentation (Q) | 2723 | 2723 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Pose Estimation (SP) | 4918 | 4918 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Pose Estimation (HP) | 3300 | 3300 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Pose Estimation (Q) | 17659 | 17659 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Object Detection (SP) | 2089 | 2089 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Object Detection (HP) | 465 | 465 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Object Detection (Q) | 5028 | 5028 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Face Detection (SP) | 5671 | 5671 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Face Detection (HP) | 1028 | 1028 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Face Detection (Q) | 6596 | 6596 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Depth Estimation (SP) | 5242 | 5242 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Depth Estimation (HP) | 824 | 824 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Depth Estimation (Q) | 9772 | 9772 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Style Transfer (SP) | 6926 | 6926 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Style Transfer (HP) | 3885 | 3885 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Style Transfer (Q) | 15558 | 15558 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Image Super-Resolution (SP) | 1748 | 1748 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Image Super-Resolution (HP) | 1550 | 1550 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Image Super-Resolution (Q) | 3217 | 3217 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Text Classification (SP) | 1194 | 1194 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Text Classification (HP) | 481 | 481 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Text Classification (Q) | 1388 | 1388 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Machine Translation (SP) | 1526 | 1526 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Machine Translation (HP) | 616 | 616 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
| Machine Translation (Q) | 2551 | 2551 | 100.0% |
| DELNB16 | |||
| DELNB16 | |||
