| User | dd88 |
| Upload Date | November 18 2025 02:27 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4080
758.7 IPS |
|
|
Image Classification (HP)
|
100% |
6298
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8264
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4291
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9140
148.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11548
187.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12094
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11084
13.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
36656
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
3764
298.5 IPS |
|
|
Object Detection (HP)
|
100% |
6025
477.9 IPS |
|
|
Object Detection (Q)
|
88% |
9978
799.6 IPS |
|
|
Face Detection (SP)
|
100% |
8677
103.1 IPS |
|
|
Face Detection (HP)
|
100% |
17036
202.4 IPS |
|
|
Face Detection (Q)
|
100% |
26659
316.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13123
101.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
22776
176.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
25883
201.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29851
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40898
52.6 IPS |
|
|
Style Transfer (Q)
|
98% |
84631
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5315
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9564
353.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15080
558.5 IPS |
|
|
Text Classification (SP)
|
71% |
1699
2.46 KIPS |
|
|
Text Classification (HP)
|
71% |
2673
3.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2707
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3936
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3945
68.2 IPS |