| User | Hequaqua |
| Upload Date | November 28 2025 09:48 PM |
| Views | 7 |
| 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 | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4569
849.7 IPS |
|
|
Image Classification (HP)
|
100% |
3328
618.9 IPS |
|
|
Image Classification (Q)
|
100% |
11183
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6037
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2664
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13803
223.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8652
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5707
6.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
33441
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
4486
355.9 IPS |
|
|
Object Detection (HP)
|
100% |
3288
260.8 IPS |
|
|
Object Detection (Q)
|
88% |
12319
987.5 IPS |
|
|
Face Detection (SP)
|
100% |
14064
167.1 IPS |
|
|
Face Detection (HP)
|
100% |
10526
125.1 IPS |
|
|
Face Detection (Q)
|
100% |
32567
387.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11426
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8163
62.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
33897
263.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25906
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16631
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
94584
122.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5495
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18123
671.2 IPS |
|
|
Text Classification (SP)
|
100% |
4278
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
92% |
6278
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6117
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5808
100.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5978
103.0 IPS |