| Upload Date | November 12 2025 11:09 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 | GameTurbo (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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5314
988.3 IPS |
|
|
Image Classification (HP)
|
100% |
852
158.4 IPS |
|
|
Image Classification (Q)
|
99% |
8420
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2623
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17364
282.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13469
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7032
8.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
41107
48.2 IPS |
|
|
Object Detection (SP)
|
100% |
4543
360.3 IPS |
|
|
Object Detection (HP)
|
100% |
1061
84.2 IPS |
|
|
Object Detection (Q)
|
86% |
10498
843.7 IPS |
|
|
Face Detection (SP)
|
100% |
14719
174.9 IPS |
|
|
Face Detection (HP)
|
100% |
2313
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
13978
166.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14214
109.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2697
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
23148
184.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29843
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17898
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32595
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5368
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3297
121.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6846
253.5 IPS |
|
|
Text Classification (SP)
|
100% |
1836
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1624
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2853
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4029
81.0 IPS |