| User | decryp7 | 
| Upload Date | October 09 2025 03:43 PM | 
| Views | 4 | 
| AI Information | |
|---|---|
| Framework | OpenVINO | 
| Backend | CPU | 
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S | 
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) | 
| Model | AZW GTR Pro | 
| Motherboard | AZW GTR Pro | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 | 
| Topology | 1 Processor, 16 Cores, 32 Threads | 
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 | 
| Base Frequency | 5.19 GHz | 
| Cluster 1 | 0 Cores | 
| Memory Information | |
|---|---|
| Size | 62.44 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 3152 586.2 IPS | |
| Image Classification (HP) | 100% | 3049 567.0 IPS | |
| Image Classification (Q) | 100% | 7692 1.43 KIPS | |
| Image Segmentation (SP) | 100% | 3698 60.0 IPS | |
| Image Segmentation (HP) | 100% | 3402 55.1 IPS | |
| Image Segmentation (Q) | 99% | 9679 156.9 IPS | |
| Pose Estimation (SP) | 100% | 7558 8.82 IPS | |
| Pose Estimation (HP) | 100% | 7087 8.27 IPS | |
| Pose Estimation (Q) | 98% | 28854 33.8 IPS | |
| Object Detection (SP) | 100% | 3281 260.3 IPS | |
| Object Detection (HP) | 100% | 2848 225.9 IPS | |
| Object Detection (Q) | 88% | 9528 763.8 IPS | |
| Face Detection (SP) | 100% | 7558 89.8 IPS | |
| Face Detection (HP) | 100% | 7340 87.2 IPS | |
| Face Detection (Q) | 100% | 18326 217.8 IPS | |
| Depth Estimation (SP) | 100% | 9228 71.1 IPS | |
| Depth Estimation (HP) | 99% | 7670 59.1 IPS | |
| Depth Estimation (Q) | 88% | 22478 174.9 IPS | |
| Style Transfer (SP) | 100% | 26830 34.5 IPS | |
| Style Transfer (HP) | 100% | 23401 30.1 IPS | |
| Style Transfer (Q) | 98% | 95508 123.2 IPS | |
| Image Super-Resolution (SP) | 100% | 4447 164.2 IPS | |
| Image Super-Resolution (HP) | 100% | 4235 156.4 IPS | |
| Image Super-Resolution (Q) | 99% | 14042 520.0 IPS | |
| Text Classification (SP) | 100% | 2160 2.88 KIPS | |
| Text Classification (HP) | 100% | 2065 2.76 KIPS | |
| Text Classification (Q) | 92% | 2607 3.50 KIPS | |
| Machine Translation (SP) | 100% | 3171 54.6 IPS | |
| Machine Translation (HP) | 100% | 2824 48.6 IPS | |
| Machine Translation (Q) | 100% | 3306 57.0 IPS |