| Upload Date | October 27 2025 09:42 PM | 
| Views | 1 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 3050 Laptop GPU | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX507ZC4_FX507ZC4 | 
| Motherboard | ASUSTeK COMPUTER INC. FX507ZC4 | 
| Power Plan | Turbo | 
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H | 
| Topology | 1 Processor, 12 Cores, 16 Threads | 
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 | 
| Base Frequency | 2.50 GHz | 
| Cluster 1 | 4 Cores | 
| Cluster 2 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 4092 760.9 IPS | |
| Image Classification (HP) | 99% | 7157 1.33 KIPS | |
| Image Classification (Q) | 99% | 3426 639.0 IPS | |
| Image Segmentation (SP) | 100% | 6180 100.2 IPS | |
| Image Segmentation (HP) | 100% | 9212 149.3 IPS | |
| Image Segmentation (Q) | 98% | 4989 81.1 IPS | |
| Pose Estimation (SP) | 100% | 42903 50.1 IPS | |
| Pose Estimation (HP) | 100% | 120892 141.1 IPS | |
| Pose Estimation (Q) | 96% | 36308 42.5 IPS | |
| Object Detection (SP) | 100% | 4905 389.1 IPS | |
| Object Detection (HP) | 100% | 8999 713.8 IPS | |
| Object Detection (Q) | 84% | 3972 320.4 IPS | |
| Face Detection (SP) | 100% | 10479 124.5 IPS | |
| Face Detection (HP) | 100% | 16927 201.1 IPS | |
| Face Detection (Q) | 97% | 8700 103.7 IPS | |
| Depth Estimation (SP) | 100% | 24045 185.2 IPS | |
| Depth Estimation (HP) | 99% | 49269 379.6 IPS | |
| Depth Estimation (Q) | 77% | 17659 141.4 IPS | |
| Style Transfer (SP) | 100% | 72698 93.5 IPS | |
| Style Transfer (HP) | 100% | 187746 241.4 IPS | |
| Style Transfer (Q) | 98% | 59405 76.6 IPS | |
| Image Super-Resolution (SP) | 100% | 13546 500.2 IPS | |
| Image Super-Resolution (HP) | 100% | 23095 852.8 IPS | |
| Image Super-Resolution (Q) | 99% | 8808 326.2 IPS | |
| Text Classification (SP) | 100% | 2180 2.91 KIPS | |
| Text Classification (HP) | 99% | 2677 3.57 KIPS | |
| Text Classification (Q) | 97% | 1091 1.46 KIPS | |
| Machine Translation (SP) | 100% | 2788 48.0 IPS | |
| Machine Translation (HP) | 100% | 2893 49.8 IPS | |
| Machine Translation (Q) | 70% | 1215 22.8 IPS |