| User | Nickneutrino | 
| Upload Date | October 29 2025 01:09 PM | 
| Views | 4 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | AMD Radeon RX 6900 XT | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | ASUS System Product Name | 
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO | 
| Power Plan | Estalvi d'energia | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D | 
| Topology | 1 Processor, 8 Cores, 16 Threads | 
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 | 
| Base Frequency | 3.40 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 10477 1.95 KIPS | |
| Image Classification (HP) | 100% | 10006 1.86 KIPS | |
| Image Classification (Q) | 99% | 8588 1.60 KIPS | |
| Image Segmentation (SP) | 100% | 13948 226.1 IPS | |
| Image Segmentation (HP) | 100% | 12052 195.4 IPS | |
| Image Segmentation (Q) | 98% | 12038 195.7 IPS | |
| Pose Estimation (SP) | 100% | 192423 224.5 IPS | |
| Pose Estimation (HP) | 100% | 284514 332.0 IPS | |
| Pose Estimation (Q) | 96% | 161844 189.6 IPS | |
| Object Detection (SP) | 100% | 11105 880.8 IPS | |
| Object Detection (HP) | 100% | 11317 897.7 IPS | |
| Object Detection (Q) | 87% | 9518 764.4 IPS | |
| Face Detection (SP) | 100% | 30107 357.7 IPS | |
| Face Detection (HP) | 100% | 31876 378.8 IPS | |
| Face Detection (Q) | 97% | 25264 301.2 IPS | |
| Depth Estimation (SP) | 100% | 68270 526.0 IPS | |
| Depth Estimation (HP) | 99% | 72582 559.2 IPS | |
| Depth Estimation (Q) | 76% | 51334 412.2 IPS | |
| Style Transfer (SP) | 100% | 331704 426.4 IPS | |
| Style Transfer (HP) | 100% | 429690 552.4 IPS | |
| Style Transfer (Q) | 98% | 267230 344.6 IPS | |
| Image Super-Resolution (SP) | 100% | 37073 1.37 KIPS | |
| Image Super-Resolution (HP) | 100% | 42084 1.55 KIPS | |
| Image Super-Resolution (Q) | 99% | 27587 1.02 KIPS | |
| Text Classification (SP) | 100% | 3428 4.58 KIPS | |
| Text Classification (HP) | 100% | 3638 4.86 KIPS | |
| Text Classification (Q) | 97% | 2282 3.06 KIPS | |
| Machine Translation (SP) | 100% | 3761 64.8 IPS | |
| Machine Translation (HP) | 100% | 3831 66.0 IPS | |
| Machine Translation (Q) | 70% | 2387 44.8 IPS |