| Upload Date | December 07 2025 05:13 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% |
3939
732.6 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (Q)
|
99% |
9072
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14179
230.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12578
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8666
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
43752
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
790
62.7 IPS |
|
|
Object Detection (Q)
|
86% |
10475
841.9 IPS |
|
|
Face Detection (SP)
|
100% |
7498
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
1551
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
11710
139.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12863
99.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2932
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
22645
180.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24921
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23747
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
41236
53.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2361
87.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5097
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
1577
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1395
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3777
75.9 IPS |