| User | lmeyler |
| Upload Date | October 25 2025 07:12 PM |
| Views | 27 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E EXTREME |
| Power Plan | Balanced |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
645
120.0 IPS |
|
|
Image Classification (Q)
|
100% |
670
124.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
997
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6490
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
10624
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5852
6.86 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.1 IPS |
|
|
Object Detection (HP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (Q)
|
87% |
683
54.8 IPS |
|
|
Face Detection (SP)
|
100% |
2159
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2116
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
2005
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3742
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4399
34.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3261
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11250
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16275
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9910
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3733
137.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2124
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
730
974.7 IPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
508
680.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (Q)
|
70% |
605
11.4 IPS |