| User | svswe |
| Upload Date | December 10 2025 06:22 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5326
990.4 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.8 IPS |
|
|
Image Classification (Q)
|
99% |
9955
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15696
255.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12899
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6188
7.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
39226
46.0 IPS |
|
|
Object Detection (SP)
|
100% |
4582
363.5 IPS |
|
|
Object Detection (HP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (Q)
|
86% |
10907
876.6 IPS |
|
|
Face Detection (SP)
|
100% |
13688
162.6 IPS |
|
|
Face Detection (HP)
|
100% |
2424
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
13512
161.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13863
106.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3166
24.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
22691
181.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28099
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17532
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27570
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3122
115.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6875
254.6 IPS |
|
|
Text Classification (SP)
|
100% |
1899
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1008
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1609
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2853
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4024
80.9 IPS |