| User | svswe |
| Upload Date | December 10 2025 08:54 PM |
| Views | 11 |
| Notes | intel ultra 7 265K - openVINO cpu |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
4035
750.3 IPS |
|
|
Image Classification (HP)
|
100% |
2996
557.1 IPS |
|
|
Image Classification (Q)
|
100% |
10094
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5316
86.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12052
195.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8080
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5308
6.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
30661
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
3685
292.3 IPS |
|
|
Object Detection (HP)
|
100% |
2908
230.6 IPS |
|
|
Object Detection (Q)
|
88% |
10999
881.7 IPS |
|
|
Face Detection (SP)
|
100% |
11740
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
9437
112.1 IPS |
|
|
Face Detection (Q)
|
100% |
28819
342.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9921
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7380
56.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
29093
226.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24175
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15680
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
86803
111.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3448
127.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16665
617.2 IPS |
|
|
Text Classification (SP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (Q)
|
92% |
5828
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5193
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5210
89.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5072
87.4 IPS |