| User | tester_one | 
| Upload Date | July 19 2025 04:09 AM | 
| Views | 10 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA RTX A400 | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Dedicated Computing OEM-A9321-00 | 
| Motherboard | BCM Advanced Research BC680R | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 | 
| Topology | 1 Processor, 6 Cores, 12 Threads | 
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 | 
| Base Frequency | 3.00 GHz | 
| Cluster 1 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1814 337.3 IPS | |
| Image Classification (HP) | 99% | 4167 777.1 IPS | |
| Image Classification (Q) | 99% | 1688 314.8 IPS | |
| Image Segmentation (SP) | 100% | 3117 50.5 IPS | |
| Image Segmentation (HP) | 100% | 5368 87.0 IPS | |
| Image Segmentation (Q) | 98% | 2588 42.1 IPS | |
| Pose Estimation (SP) | 100% | 15686 18.3 IPS | |
| Pose Estimation (HP) | 100% | 57642 67.3 IPS | |
| Pose Estimation (Q) | 96% | 13780 16.1 IPS | |
| Object Detection (SP) | 100% | 2338 185.5 IPS | |
| Object Detection (HP) | 100% | 4985 395.4 IPS | |
| Object Detection (Q) | 83% | 2016 162.9 IPS | |
| Face Detection (SP) | 100% | 5060 60.1 IPS | |
| Face Detection (HP) | 100% | 8444 100.3 IPS | |
| Face Detection (Q) | 97% | 4390 52.3 IPS | |
| Depth Estimation (SP) | 100% | 10043 77.4 IPS | |
| Depth Estimation (HP) | 99% | 22127 170.5 IPS | |
| Depth Estimation (Q) | 77% | 7996 63.9 IPS | |
| Style Transfer (SP) | 100% | 27341 35.1 IPS | |
| Style Transfer (HP) | 100% | 75276 96.8 IPS | |
| Style Transfer (Q) | 98% | 23001 29.7 IPS | |
| Image Super-Resolution (SP) | 100% | 6306 232.8 IPS | |
| Image Super-Resolution (HP) | 100% | 11642 429.9 IPS | |
| Image Super-Resolution (Q) | 99% | 4377 162.1 IPS | |
| Text Classification (SP) | 100% | 1647 2.20 KIPS | |
| Text Classification (HP) | 99% | 2267 3.03 KIPS | |
| Text Classification (Q) | 97% | 812 1.09 KIPS | |
| Machine Translation (SP) | 100% | 2307 39.7 IPS | |
| Machine Translation (HP) | 98% | 2433 42.1 IPS | |
| Machine Translation (Q) | 70% | 901 16.9 IPS |