| Upload Date | November 14 2025 12:22 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E19 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 EDGE TI WIFI (MS-7E19) |
| Power Plan | Equilibrado |
| 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% |
4376
813.7 IPS |
|
|
Image Classification (HP)
|
100% |
1664
309.5 IPS |
|
|
Image Classification (Q)
|
100% |
2375
441.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5520
89.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8218
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
7217
8.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
15996
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3774
299.3 IPS |
|
|
Object Detection (HP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (Q)
|
88% |
2377
190.6 IPS |
|
|
Face Detection (SP)
|
100% |
11520
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
4224
50.2 IPS |
|
|
Face Detection (Q)
|
100% |
7883
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9934
76.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4575
35.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
8444
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23684
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13234
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23685
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4998
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3560
131.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7115
263.5 IPS |
|
|
Text Classification (SP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
564
753.3 IPS |
|
|
Text Classification (Q)
|
92% |
562
755.5 IPS |
|
|
Machine Translation (SP)
|
100% |
4906
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1197
20.6 IPS |