| Upload Date | October 29 2025 04:49 AM | 
| Views | 4 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD Ryzen 5 7600 6-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) | 
| Model | Gigabyte Technology Co., Ltd. B650M GAMING X AX | 
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING X AX | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 | 
| Topology | 1 Processor, 6 Cores, 12 Threads | 
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 | 
| Base Frequency | 3.80 GHz | 
| Cluster 1 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3781 703.1 IPS | |
| Image Classification (HP) | 100% | 3773 701.7 IPS | |
| Image Classification (Q) | 100% | 10725 1.99 KIPS | |
| Image Segmentation (SP) | 100% | 4146 67.2 IPS | |
| Image Segmentation (HP) | 100% | 4240 68.7 IPS | |
| Image Segmentation (Q) | 99% | 11030 178.8 IPS | |
| Pose Estimation (SP) | 100% | 6859 8.00 IPS | |
| Pose Estimation (HP) | 100% | 6869 8.02 IPS | |
| Pose Estimation (Q) | 98% | 27090 31.7 IPS | |
| Object Detection (SP) | 100% | 3758 298.1 IPS | |
| Object Detection (HP) | 100% | 3666 290.8 IPS | |
| Object Detection (Q) | 88% | 10636 852.6 IPS | |
| Face Detection (SP) | 100% | 10003 118.9 IPS | |
| Face Detection (HP) | 100% | 9759 116.0 IPS | |
| Face Detection (Q) | 100% | 27589 327.8 IPS | |
| Depth Estimation (SP) | 100% | 9280 71.5 IPS | |
| Depth Estimation (HP) | 99% | 9291 71.6 IPS | |
| Depth Estimation (Q) | 88% | 28395 221.0 IPS | |
| Style Transfer (SP) | 100% | 18954 24.4 IPS | |
| Style Transfer (HP) | 100% | 19069 24.5 IPS | |
| Style Transfer (Q) | 98% | 71207 91.8 IPS | |
| Image Super-Resolution (SP) | 100% | 4395 162.3 IPS | |
| Image Super-Resolution (HP) | 100% | 4351 160.6 IPS | |
| Image Super-Resolution (Q) | 99% | 14109 522.5 IPS | |
| Text Classification (SP) | 100% | 3549 4.74 KIPS | |
| Text Classification (HP) | 100% | 3581 4.78 KIPS | |
| Text Classification (Q) | 92% | 6226 8.36 KIPS | |
| Machine Translation (SP) | 100% | 6864 118.2 IPS | |
| Machine Translation (HP) | 100% | 6791 117.0 IPS | |
| Machine Translation (Q) | 100% | 9679 166.7 IPS |