| User | restuff |
| Upload Date | November 15 2025 11:38 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. VenturePro 17 AI A2HVEG |
| Motherboard | Micro-Star International Co., Ltd. MS-17U1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.5 IPS |
|
|
Image Classification (Q)
|
100% |
6133
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6372
103.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4756
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4441
5.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
18237
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (HP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (Q)
|
88% |
6459
517.7 IPS |
|
|
Face Detection (SP)
|
100% |
6345
75.4 IPS |
|
|
Face Detection (HP)
|
100% |
6993
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
14111
167.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5691
43.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
15851
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14058
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12845
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50661
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2656
98.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2783
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9610
355.9 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2011
2.68 KIPS |
|
|
Text Classification (Q)
|
92% |
3982
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2661
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2429
41.8 IPS |