| Upload Date | October 24 2025 11:00 AM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | AMD Radeon RX 7900 XT | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Intel(R) Client Systems NUC13ANKi7 | 
| Motherboard | Intel Corporation NUC13ANBi7 | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P | 
| Topology | 1 Processor, 12 Cores, 16 Threads | 
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 | 
| Base Frequency | 2.20 GHz | 
| Cluster 1 | 4 Cores | 
| Cluster 2 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 64.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 5526 1.03 KIPS | |
| Image Classification (HP) | 100% | 5661 1.05 KIPS | |
| Image Classification (Q) | 99% | 4528 844.6 IPS | |
| Image Segmentation (SP) | 100% | 7975 129.3 IPS | |
| Image Segmentation (HP) | 100% | 7287 118.1 IPS | |
| Image Segmentation (Q) | 98% | 7349 119.5 IPS | |
| Pose Estimation (SP) | 100% | 188948 220.5 IPS | |
| Pose Estimation (HP) | 100% | 294754 343.9 IPS | |
| Pose Estimation (Q) | 96% | 165036 193.3 IPS | |
| Object Detection (SP) | 100% | 7206 571.6 IPS | |
| Object Detection (HP) | 99% | 7616 604.1 IPS | |
| Object Detection (Q) | 87% | 5940 477.1 IPS | |
| Face Detection (SP) | 100% | 18292 217.3 IPS | |
| Face Detection (HP) | 100% | 18692 222.1 IPS | |
| Face Detection (Q) | 97% | 15972 190.4 IPS | |
| Depth Estimation (SP) | 100% | 48353 372.5 IPS | |
| Depth Estimation (HP) | 99% | 50605 389.9 IPS | |
| Depth Estimation (Q) | 77% | 35728 286.3 IPS | |
| Style Transfer (SP) | 100% | 292182 375.6 IPS | |
| Style Transfer (HP) | 100% | 397485 511.0 IPS | |
| Style Transfer (Q) | 98% | 261578 337.3 IPS | |
| Image Super-Resolution (SP) | 100% | 29429 1.09 KIPS | |
| Image Super-Resolution (HP) | 100% | 34539 1.28 KIPS | |
| Image Super-Resolution (Q) | 99% | 19883 736.2 IPS | |
| Text Classification (SP) | 100% | 1784 2.38 KIPS | |
| Text Classification (HP) | 100% | 1815 2.42 KIPS | |
| Text Classification (Q) | 97% | 880 1.18 KIPS | |
| Machine Translation (SP) | 100% | 1649 28.4 IPS | |
| Machine Translation (HP) | 100% | 1690 29.1 IPS | |
| Machine Translation (Q) | 70% | 866 16.2 IPS |