| Upload Date | January 13 2026 04:15 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| 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% |
3986
741.3 IPS |
|
|
Image Classification (HP)
|
100% |
1668
310.2 IPS |
|
|
Image Classification (Q)
|
100% |
2371
441.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5464
88.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
730
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7659
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
7217
8.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
15995
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (Q)
|
88% |
2379
190.8 IPS |
|
|
Face Detection (SP)
|
100% |
11098
131.9 IPS |
|
|
Face Detection (HP)
|
100% |
4229
50.2 IPS |
|
|
Face Detection (Q)
|
100% |
7928
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9679
74.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4578
35.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
8447
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23084
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13179
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23656
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4824
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3570
131.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7112
263.4 IPS |
|
|
Text Classification (SP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
558
745.2 IPS |
|
|
Text Classification (Q)
|
92% |
566
759.7 IPS |
|
|
Machine Translation (SP)
|
100% |
4954
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1185
20.4 IPS |