| User | alexb |
| Upload Date | August 21 2025 03:35 PM |
| Views | 7 |
| 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% |
5837
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
734
136.5 IPS |
|
|
Image Classification (Q)
|
99% |
10342
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3105
50.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1681
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18482
300.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16482
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8814
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
54333
63.7 IPS |
|
|
Object Detection (SP)
|
100% |
5510
437.1 IPS |
|
|
Object Detection (HP)
|
100% |
1186
94.0 IPS |
|
|
Object Detection (Q)
|
86% |
12437
999.5 IPS |
|
|
Face Detection (SP)
|
100% |
17046
202.5 IPS |
|
|
Face Detection (HP)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
14455
172.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17189
132.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3805
29.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
27074
216.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36182
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20886
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
37948
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5938
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7698
285.0 IPS |
|
|
Text Classification (SP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1128
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1610
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4411
88.6 IPS |