| Upload Date | November 08 2025 07:49 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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 | High performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2986
555.3 IPS |
|
|
Image Classification (HP)
|
100% |
4224
785.5 IPS |
|
|
Image Classification (Q)
|
99% |
2150
401.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3518
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5743
93.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2413
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8707
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13684
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
7707
9.03 IPS |
|
|
Object Detection (SP)
|
100% |
3120
247.5 IPS |
|
|
Object Detection (HP)
|
100% |
4798
380.6 IPS |
|
|
Object Detection (Q)
|
86% |
2326
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
6094
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
9778
116.2 IPS |
|
|
Face Detection (Q)
|
97% |
3998
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10425
80.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16389
126.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7461
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27368
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42095
54.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21140
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5069
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7678
283.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3442
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
787
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2658
45.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2858
49.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1101
20.6 IPS |