| User | tester_one | 
| Upload Date | March 13 2025 02:35 PM | 
| Views | 11 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA RTX A400 | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Dedicated Computing OEM-A9101-00 | 
| Motherboard | BCM Advanced Research MX610HD | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500E | 
| Topology | 1 Processor, 6 Cores, 12 Threads | 
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 | 
| Base Frequency | 2.90 GHz | 
| Cluster 1 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1824 339.2 IPS | |
| Image Classification (HP) | 99% | 3978 742.0 IPS | |
| Image Classification (Q) | 99% | 1633 304.6 IPS | |
| Image Segmentation (SP) | 100% | 3020 49.0 IPS | |
| Image Segmentation (HP) | 100% | 4864 78.8 IPS | |
| Image Segmentation (Q) | 98% | 2375 38.6 IPS | |
| Pose Estimation (SP) | 100% | 15558 18.2 IPS | |
| Pose Estimation (HP) | 100% | 56407 65.8 IPS | |
| Pose Estimation (Q) | 96% | 13643 16.0 IPS | |
| Object Detection (SP) | 100% | 2284 181.1 IPS | |
| Object Detection (HP) | 100% | 4944 392.1 IPS | |
| Object Detection (Q) | 83% | 1955 158.0 IPS | |
| Face Detection (SP) | 100% | 4813 57.2 IPS | |
| Face Detection (HP) | 100% | 8246 98.0 IPS | |
| Face Detection (Q) | 97% | 4126 49.2 IPS | |
| Depth Estimation (SP) | 100% | 9803 75.5 IPS | |
| Depth Estimation (HP) | 99% | 21879 168.6 IPS | |
| Depth Estimation (Q) | 77% | 7850 62.8 IPS | |
| Style Transfer (SP) | 100% | 26631 34.2 IPS | |
| Style Transfer (HP) | 100% | 73128 94.0 IPS | |
| Style Transfer (Q) | 98% | 22732 29.3 IPS | |
| Image Super-Resolution (SP) | 100% | 6198 228.9 IPS | |
| Image Super-Resolution (HP) | 100% | 11070 408.8 IPS | |
| Image Super-Resolution (Q) | 99% | 4280 158.5 IPS | |
| Text Classification (SP) | 100% | 1598 2.13 KIPS | |
| Text Classification (HP) | 99% | 2264 3.02 KIPS | |
| Text Classification (Q) | 97% | 804 1.08 KIPS | |
| Machine Translation (SP) | 100% | 2184 37.6 IPS | |
| Machine Translation (HP) | 98% | 2248 38.8 IPS | |
| Machine Translation (Q) | 70% | 933 17.5 IPS |