| User | danm1988 | 
| Upload Date | May 26 2025 11:00 PM | 
| Views | 12 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | AMD Radeon RX 7900 XTX | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) | 
| Model | ASRock Z690 AQUA | 
| Motherboard | ASRock Z690 AQUA | 
| Power Plan | Ultimate Performance | 
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T | 
| Topology | 1 Processor, 24 Cores, 32 Threads | 
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 | 
| Base Frequency | 1.10 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 192.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 13925 2.59 KIPS | |
| Image Classification (HP) | 100% | 15332 2.85 KIPS | |
| Image Classification (Q) | 99% | 12359 2.31 KIPS | |
| Image Segmentation (SP) | 100% | 20628 334.4 IPS | |
| Image Segmentation (HP) | 100% | 18851 305.6 IPS | |
| Image Segmentation (Q) | 98% | 19024 309.3 IPS | |
| Pose Estimation (SP) | 100% | 271535 316.8 IPS | |
| Pose Estimation (HP) | 100% | 468020 546.1 IPS | |
| Pose Estimation (Q) | 96% | 242269 283.8 IPS | |
| Object Detection (SP) | 100% | 16992 1.35 KIPS | |
| Object Detection (HP) | 99% | 17407 1.38 KIPS | |
| Object Detection (Q) | 87% | 14160 1.14 KIPS | |
| Face Detection (SP) | 100% | 43270 514.1 IPS | |
| Face Detection (HP) | 100% | 46914 557.4 IPS | |
| Face Detection (Q) | 97% | 38627 460.6 IPS | |
| Depth Estimation (SP) | 100% | 81226 625.8 IPS | |
| Depth Estimation (HP) | 99% | 102819 792.2 IPS | |
| Depth Estimation (Q) | 77% | 61584 493.5 IPS | |
| Style Transfer (SP) | 100% | 436132 560.7 IPS | |
| Style Transfer (HP) | 100% | 656095 843.4 IPS | |
| Style Transfer (Q) | 98% | 391700 505.1 IPS | |
| Image Super-Resolution (SP) | 100% | 48452 1.79 KIPS | |
| Image Super-Resolution (HP) | 100% | 62828 2.32 KIPS | |
| Image Super-Resolution (Q) | 99% | 39546 1.46 KIPS | |
| Text Classification (SP) | 100% | 4525 6.04 KIPS | |
| Text Classification (HP) | 100% | 4479 5.98 KIPS | |
| Text Classification (Q) | 97% | 2847 3.81 KIPS | |
| Machine Translation (SP) | 100% | 4500 77.5 IPS | |
| Machine Translation (HP) | 100% | 4535 78.1 IPS | |
| Machine Translation (Q) | 70% | 2602 48.8 IPS |