| User | ahofmann |
| Upload Date | December 16 2025 03:14 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt B550-CREATOR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2750
511.3 IPS |
|
|
Image Classification (HP)
|
100% |
2741
509.8 IPS |
|
|
Image Classification (Q)
|
100% |
5423
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3056
49.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3049
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5745
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5766
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5762
6.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
13986
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2557
202.8 IPS |
|
|
Object Detection (HP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (Q)
|
87% |
5454
437.4 IPS |
|
|
Face Detection (SP)
|
100% |
4358
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (Q)
|
97% |
14877
177.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6949
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6967
53.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
13725
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16358
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16338
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39553
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3294
121.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3234
119.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8175
302.8 IPS |
|
|
Text Classification (SP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (Q)
|
91% |
1168
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3835
66.1 IPS |