| User | lmeyler |
| Upload Date | October 25 2025 07:09 PM |
| Views | 30 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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% |
17387
3.23 KIPS |
|
|
Image Classification (HP)
|
100% |
22875
4.25 KIPS |
|
|
Image Classification (Q)
|
100% |
14913
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38690
627.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
50598
820.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
35663
579.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
409914
478.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
1003302
1.17 KIPS |
|
|
Pose Estimation (Q)
|
96% |
326745
382.7 IPS |
|
|
Object Detection (SP)
|
100% |
25527
2.02 KIPS |
|
|
Object Detection (HP)
|
100% |
33634
2.67 KIPS |
|
|
Object Detection (Q)
|
85% |
20933
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
76166
905.0 IPS |
|
|
Face Detection (HP)
|
100% |
104355
1.24 KIPS |
|
|
Face Detection (Q)
|
97% |
61002
727.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
107774
830.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
192054
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76514
612.8 IPS |
|
|
Style Transfer (SP)
|
100% |
605411
778.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1804786
2.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
504276
650.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74996
2.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100753
3.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53360
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4686
6.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2364
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
7510
129.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7551
130.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3218
60.4 IPS |