| User | dd88 |
| Upload Date | November 18 2025 02:29 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
4451
827.8 IPS |
|
|
Image Classification (HP)
|
100% |
1629
302.9 IPS |
|
|
Image Classification (Q)
|
100% |
2296
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5759
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
840
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8629
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7349
8.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
15965
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
4235
335.9 IPS |
|
|
Object Detection (HP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (Q)
|
87% |
2290
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
12784
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
7559
89.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10722
82.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4620
35.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
8430
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25308
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12639
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22930
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3145
116.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5400
200.0 IPS |
|
|
Text Classification (SP)
|
100% |
4180
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
539
719.7 IPS |
|
|
Text Classification (Q)
|
92% |
543
729.9 IPS |
|
|
Machine Translation (SP)
|
100% |
5697
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1120
19.3 IPS |