| Upload Date | January 05 2026 09:55 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING |
| Power Plan | Utilisation normale |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3327
618.7 IPS |
|
|
Image Classification (HP)
|
100% |
586
108.9 IPS |
|
|
Image Classification (Q)
|
96% |
6302
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
9111
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9862
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6395
7.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
21760
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
3166
251.1 IPS |
|
|
Object Detection (HP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
58% |
5184
566.4 IPS |
|
|
Face Detection (SP)
|
100% |
6825
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (Q)
|
96% |
10238
122.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10403
80.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2455
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16616
132.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21933
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18836
24.2 IPS |
|
|
Style Transfer (Q)
|
87% |
21562
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2007
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3930
145.6 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
720
961.2 IPS |
|
|
Text Classification (Q)
|
97% |
1255
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2194
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2909
56.2 IPS |