| Upload Date | October 23 2025 11:08 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PRO WIFI |
| Power Plan | Revision - Ultra 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4762
885.5 IPS |
|
|
Image Classification (HP)
|
100% |
841
156.4 IPS |
|
|
Image Classification (Q)
|
99% |
9786
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17541
285.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13416
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7624
8.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
42232
49.5 IPS |
|
|
Object Detection (SP)
|
100% |
4337
344.0 IPS |
|
|
Object Detection (HP)
|
100% |
1060
84.1 IPS |
|
|
Object Detection (Q)
|
86% |
9899
795.5 IPS |
|
|
Face Detection (SP)
|
100% |
14179
168.5 IPS |
|
|
Face Detection (HP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
13621
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13687
105.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3381
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
23401
186.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31122
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18601
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25656
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3234
119.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6507
240.9 IPS |
|
|
Text Classification (SP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1101
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1589
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2803
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4146
83.3 IPS |