| User | james_kwit | 
| Upload Date | October 29 2025 01:45 PM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen 9 7945HX with Radeon Graphics | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Micro Computer (HK) Tech Limited MotherBoard Series | 
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 | 
| Base Frequency | 2.50 GHz | 
| Cluster 1 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 4927 916.3 IPS | |
| Image Classification (HP) | 100% | 4572 850.2 IPS | |
| Image Classification (Q) | 100% | 12275 2.28 KIPS | |
| Image Segmentation (SP) | 100% | 6849 111.0 IPS | |
| Image Segmentation (HP) | 100% | 6594 106.9 IPS | |
| Image Segmentation (Q) | 99% | 17771 288.1 IPS | |
| Pose Estimation (SP) | 100% | 14410 16.8 IPS | |
| Pose Estimation (HP) | 100% | 14539 17.0 IPS | |
| Pose Estimation (Q) | 98% | 57939 67.8 IPS | |
| Object Detection (SP) | 100% | 5219 414.0 IPS | |
| Object Detection (HP) | 100% | 5173 410.4 IPS | |
| Object Detection (Q) | 88% | 13689 1.10 KIPS | |
| Face Detection (SP) | 100% | 13223 157.1 IPS | |
| Face Detection (HP) | 100% | 12583 149.5 IPS | |
| Face Detection (Q) | 100% | 34543 410.4 IPS | |
| Depth Estimation (SP) | 100% | 14059 108.3 IPS | |
| Depth Estimation (HP) | 99% | 14353 110.6 IPS | |
| Depth Estimation (Q) | 88% | 41276 321.2 IPS | |
| Style Transfer (SP) | 100% | 38119 49.0 IPS | |
| Style Transfer (HP) | 100% | 38284 49.2 IPS | |
| Style Transfer (Q) | 98% | 137260 177.0 IPS | |
| Image Super-Resolution (SP) | 100% | 7789 287.6 IPS | |
| Image Super-Resolution (HP) | 100% | 7877 290.9 IPS | |
| Image Super-Resolution (Q) | 99% | 21832 808.5 IPS | |
| Text Classification (SP) | 100% | 3325 4.44 KIPS | |
| Text Classification (HP) | 100% | 3472 4.63 KIPS | |
| Text Classification (Q) | 92% | 4164 5.59 KIPS | |
| Machine Translation (SP) | 100% | 5521 95.1 IPS | |
| Machine Translation (HP) | 100% | 5495 94.7 IPS | |
| Machine Translation (Q) | 100% | 6224 107.2 IPS |