| Upload Date | October 19 2025 06:24 PM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Performances leves |
| 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% |
18858
3.51 KIPS |
|
|
Image Classification (HP)
|
100% |
24143
4.49 KIPS |
|
|
Image Classification (Q)
|
100% |
16154
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41206
668.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
52744
855.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
37749
613.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
434513
507.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
1109081
1.29 KIPS |
|
|
Pose Estimation (Q)
|
96% |
351260
411.4 IPS |
|
|
Object Detection (SP)
|
100% |
28292
2.24 KIPS |
|
|
Object Detection (HP)
|
100% |
37288
2.96 KIPS |
|
|
Object Detection (Q)
|
85% |
23326
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
82694
982.6 IPS |
|
|
Face Detection (HP)
|
100% |
110683
1.32 KIPS |
|
|
Face Detection (Q)
|
97% |
65286
778.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
117568
905.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
210010
1.62 KIPS |
|
|
Depth Estimation (Q)
|
77% |
84146
674.0 IPS |
|
|
Style Transfer (SP)
|
100% |
668769
859.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1917565
2.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
555851
716.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
83116
3.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
109849
4.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59090
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4365
5.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5157
6.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2624
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
8003
137.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8235
141.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3360
63.0 IPS |