| Upload Date | December 07 2025 05:15 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4551
846.4 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.7 IPS |
|
|
Image Classification (Q)
|
99% |
9222
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14138
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11907
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8830
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
42196
49.5 IPS |
|
|
Object Detection (SP)
|
100% |
4331
343.5 IPS |
|
|
Object Detection (HP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (Q)
|
86% |
10334
830.5 IPS |
|
|
Face Detection (SP)
|
100% |
8350
99.2 IPS |
|
|
Face Detection (HP)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
11808
140.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12344
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2906
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
22918
182.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25855
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22161
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
42063
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2743
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2471
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4865
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
1524
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1360
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2922
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3795
76.2 IPS |