| User | dd88 |
| Upload Date | November 18 2025 02:24 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4435
824.7 IPS |
|
|
Image Classification (HP)
|
100% |
3244
603.3 IPS |
|
|
Image Classification (Q)
|
100% |
10769
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5735
93.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13259
214.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8593
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5670
6.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
32604
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4235
335.9 IPS |
|
|
Object Detection (HP)
|
100% |
3214
255.0 IPS |
|
|
Object Detection (Q)
|
88% |
11787
944.9 IPS |
|
|
Face Detection (SP)
|
100% |
12739
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
10091
119.9 IPS |
|
|
Face Detection (Q)
|
100% |
30886
367.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10780
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7900
60.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32067
249.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25596
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16483
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
93004
119.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5378
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3644
134.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17776
658.3 IPS |
|
|
Text Classification (SP)
|
100% |
4178
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
6102
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5592
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5580
96.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5616
96.7 IPS |