| User | scottreuter79 |
| Upload Date | December 19 2025 01:50 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4284
796.7 IPS |
|
|
Image Classification (HP)
|
100% |
918
170.8 IPS |
|
|
Image Classification (Q)
|
99% |
11768
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18847
306.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17331
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13405
15.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
67425
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
1104
87.5 IPS |
|
|
Object Detection (Q)
|
86% |
11841
951.7 IPS |
|
|
Face Detection (SP)
|
100% |
6549
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
2358
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
14071
167.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15454
119.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3861
29.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
26628
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33781
43.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29885
38.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36861
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3639
134.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3289
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1777
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2673
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3593
72.2 IPS |