| User | somata | 
| Upload Date | June 14 2025 07:15 AM | 
| Views | 7 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | AMD Radeon RX 9060 XT | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. AB350-Gaming 3 | 
| Motherboard | Gigabyte Technology Co., Ltd. AB350-Gaming 3-CF | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 | 
| Topology | 1 Processor, 6 Cores, 12 Threads | 
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 | 
| Base Frequency | 3.50 GHz | 
| Cluster 1 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 11224 2.09 KIPS | |
| Image Classification (HP) | 100% | 13899 2.58 KIPS | |
| Image Classification (Q) | 100% | 10881 2.02 KIPS | |
| Image Segmentation (SP) | 100% | 10524 170.6 IPS | |
| Image Segmentation (HP) | 100% | 12704 205.9 IPS | |
| Image Segmentation (Q) | 98% | 13809 224.5 IPS | |
| Pose Estimation (SP) | 100% | 133670 156.0 IPS | |
| Pose Estimation (HP) | 100% | 429756 501.5 IPS | |
| Pose Estimation (Q) | 96% | 118601 138.9 IPS | |
| Object Detection (SP) | 100% | 10101 801.2 IPS | |
| Object Detection (HP) | 99% | 14459 1.15 KIPS | |
| Object Detection (Q) | 87% | 9438 758.0 IPS | |
| Face Detection (SP) | 100% | 28805 342.3 IPS | |
| Face Detection (HP) | 100% | 38541 457.9 IPS | |
| Face Detection (Q) | 97% | 25300 301.7 IPS | |
| Depth Estimation (SP) | 100% | 66790 514.6 IPS | |
| Depth Estimation (HP) | 99% | 91311 703.5 IPS | |
| Depth Estimation (Q) | 77% | 55338 443.8 IPS | |
| Style Transfer (SP) | 100% | 244221 313.9 IPS | |
| Style Transfer (HP) | 100% | 464431 597.0 IPS | |
| Style Transfer (Q) | 98% | 207730 267.9 IPS | |
| Image Super-Resolution (SP) | 100% | 37594 1.39 KIPS | |
| Image Super-Resolution (HP) | 100% | 67056 2.48 KIPS | |
| Image Super-Resolution (Q) | 99% | 31261 1.16 KIPS | |
| Text Classification (SP) | 100% | 3830 5.11 KIPS | |
| Text Classification (HP) | 100% | 4075 5.44 KIPS | |
| Text Classification (Q) | 97% | 2812 3.77 KIPS | |
| Machine Translation (SP) | 100% | 4982 85.8 IPS | |
| Machine Translation (HP) | 100% | 5204 89.6 IPS | |
| Machine Translation (Q) | 70% | 2977 55.8 IPS |