| User | Xairo |
| Upload Date | September 05 2025 10:06 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING II |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2351
437.3 IPS |
|
|
Image Classification (HP)
|
100% |
2425
450.9 IPS |
|
|
Image Classification (Q)
|
100% |
3618
672.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3007
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4328
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4829
5.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4865
5.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
9833
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
2397
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (Q)
|
87% |
3786
303.7 IPS |
|
|
Face Detection (SP)
|
100% |
6114
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
6076
72.2 IPS |
|
|
Face Detection (Q)
|
97% |
10882
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5898
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5997
46.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
10414
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13849
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13680
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27746
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2763
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2727
100.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5446
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
1879
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (Q)
|
91% |
359
483.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3300
56.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3148
54.2 IPS |