| Upload Date | February 02 2026 09:11 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2843
528.7 IPS |
|
|
Image Classification (HP)
|
100% |
2840
528.2 IPS |
|
|
Image Classification (Q)
|
100% |
4011
746.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3480
56.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3394
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4785
77.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5397
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
5388
6.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
10657
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
2766
219.4 IPS |
|
|
Object Detection (HP)
|
100% |
2753
218.4 IPS |
|
|
Object Detection (Q)
|
87% |
4374
350.8 IPS |
|
|
Face Detection (SP)
|
100% |
6698
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
6709
79.7 IPS |
|
|
Face Detection (Q)
|
97% |
12058
143.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6984
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6991
53.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
11736
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15806
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14400
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30470
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3465
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3466
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6275
232.4 IPS |
|
|
Text Classification (SP)
|
100% |
2581
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2580
3.44 KIPS |
|
|
Text Classification (Q)
|
91% |
1285
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4762
82.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4692
80.8 IPS |