| Upload Date | November 14 2025 11:47 AM |
| Views | 2 |
| 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 STRIX Z890-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16261
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
21280
3.96 KIPS |
|
|
Image Classification (Q)
|
100% |
13926
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25126
407.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
29298
474.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
23265
378.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
375962
438.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
871921
1.02 KIPS |
|
|
Pose Estimation (Q)
|
96% |
310461
363.7 IPS |
|
|
Object Detection (SP)
|
100% |
20647
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
26219
2.08 KIPS |
|
|
Object Detection (Q)
|
85% |
17562
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
55676
661.5 IPS |
|
|
Face Detection (HP)
|
100% |
68895
818.6 IPS |
|
|
Face Detection (Q)
|
97% |
46971
560.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
102328
788.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
182870
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74021
592.9 IPS |
|
|
Style Transfer (SP)
|
100% |
569326
731.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1478923
1.90 KIPS |
|
|
Style Transfer (Q)
|
98% |
471481
608.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69344
2.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93130
3.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50402
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
4409
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2477
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5527
95.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5488
94.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2788
52.3 IPS |