| Upload Date | September 14 2025 06:01 AM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18553
3.45 KIPS |
|
|
Image Classification (HP)
|
100% |
24052
4.47 KIPS |
|
|
Image Classification (Q)
|
100% |
15942
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41177
667.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
54194
878.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
37638
612.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
427717
499.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
1045567
1.22 KIPS |
|
|
Pose Estimation (Q)
|
96% |
344581
403.6 IPS |
|
|
Object Detection (SP)
|
100% |
25978
2.06 KIPS |
|
|
Object Detection (HP)
|
100% |
34651
2.75 KIPS |
|
|
Object Detection (Q)
|
85% |
21133
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
79417
943.6 IPS |
|
|
Face Detection (HP)
|
100% |
110465
1.31 KIPS |
|
|
Face Detection (Q)
|
97% |
63128
752.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
110307
849.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
196759
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79989
640.7 IPS |
|
|
Style Transfer (SP)
|
100% |
622354
800.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1828500
2.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
519749
670.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79236
2.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102660
3.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56221
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
4372
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5412
7.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2582
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
8008
137.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7998
137.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3327
62.4 IPS |