| User | Paslik19 |
| Upload Date | March 04 2026 07:50 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G713QE_G713QE |
| Motherboard | ASUSTeK COMPUTER INC. G713QE |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (Q)
|
96% |
3318
619.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
3541
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2960
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2544
2.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
6959
8.23 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (Q)
|
58% |
2184
238.7 IPS |
|
|
Face Detection (SP)
|
100% |
2277
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
3881
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3042
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1141
8.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
4982
39.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6351
8.16 IPS |
|
|
Style Transfer (HP)
|
100% |
5247
6.75 IPS |
|
|
Style Transfer (Q)
|
87% |
8105
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2328
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
1156
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
572
763.4 IPS |
|
|
Text Classification (Q)
|
97% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1913
37.0 IPS |