| Upload Date | October 30 2025 01:04 AM | 
| Views | 2 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | AMD Ryzen 5 9500F 6-Core Processor | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) | 
| Model | Micro-Star International Co., Ltd. MS-7E59 | 
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9500F 6-Core Processor | 
| Topology | 1 Processor, 6 Cores, 12 Threads | 
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 1 | 
| Base Frequency | 3.80 GHz | 
| Cluster 1 | 6 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 5756 1.07 KIPS | |
| Image Classification (HP) | 100% | 983 182.8 IPS | |
| Image Classification (Q) | 99% | 11589 2.16 KIPS | |
| Image Segmentation (SP) | 100% | 1509 24.5 IPS | |
| Image Segmentation (HP) | 100% | 1454 23.6 IPS | |
| Image Segmentation (Q) | 98% | 12619 205.2 IPS | |
| Pose Estimation (SP) | 100% | 9096 10.6 IPS | |
| Pose Estimation (HP) | 100% | 7572 8.84 IPS | |
| Pose Estimation (Q) | 94% | 35935 42.1 IPS | |
| Object Detection (SP) | 100% | 4804 381.1 IPS | |
| Object Detection (HP) | 100% | 1198 95.0 IPS | |
| Object Detection (Q) | 86% | 10977 882.2 IPS | |
| Face Detection (SP) | 100% | 8215 97.6 IPS | |
| Face Detection (HP) | 100% | 2403 28.6 IPS | |
| Face Detection (Q) | 97% | 12825 152.9 IPS | |
| Depth Estimation (SP) | 100% | 12233 94.2 IPS | |
| Depth Estimation (HP) | 99% | 3443 26.5 IPS | |
| Depth Estimation (Q) | 78% | 25047 199.9 IPS | |
| Style Transfer (SP) | 100% | 20449 26.3 IPS | |
| Style Transfer (HP) | 100% | 16898 21.7 IPS | |
| Style Transfer (Q) | 98% | 32977 42.5 IPS | |
| Image Super-Resolution (SP) | 100% | 4046 149.4 IPS | |
| Image Super-Resolution (HP) | 100% | 3772 139.3 IPS | |
| Image Super-Resolution (Q) | 99% | 5346 197.9 IPS | |
| Text Classification (SP) | 100% | 3177 4.24 KIPS | |
| Text Classification (HP) | 100% | 1392 1.86 KIPS | |
| Text Classification (Q) | 97% | 2368 3.17 KIPS | |
| Machine Translation (SP) | 100% | 4228 72.8 IPS | |
| Machine Translation (HP) | 100% | 1319 22.7 IPS | |
| Machine Translation (Q) | 65% | 5297 106.4 IPS |