| User | alexb |
| Upload Date | August 23 2025 01:05 PM |
| Views | 4 |
| 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-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
4574
850.6 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
99% |
8916
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17131
278.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13372
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6626
7.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
32993
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
3323
263.6 IPS |
|
|
Object Detection (HP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (Q)
|
86% |
9719
781.1 IPS |
|
|
Face Detection (SP)
|
100% |
13031
154.8 IPS |
|
|
Face Detection (HP)
|
100% |
2277
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
11984
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11536
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3142
24.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18076
144.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26322
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17913
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25237
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3549
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2417
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5199
192.5 IPS |
|
|
Text Classification (SP)
|
100% |
1341
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1505
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4202
84.4 IPS |