| Upload Date | February 10 2026 03:59 PM |
| 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. Prestige 14 Flip AI+ D3MTG |
| Motherboard | Micro-Star International Co., Ltd. MS-14T2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra X7 358H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
21126
3.93 KIPS |
|
|
Image Classification (Q)
|
100% |
26158
4.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14671
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22337
363.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3623
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
118044
137.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
266751
312.7 IPS |
|
|
Object Detection (SP)
|
100% |
1627
129.1 IPS |
|
|
Object Detection (HP)
|
100% |
24478
1.94 KIPS |
|
|
Object Detection (Q)
|
87% |
30935
2.48 KIPS |
|
|
Face Detection (SP)
|
100% |
4067
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
51467
611.5 IPS |
|
|
Face Detection (Q)
|
100% |
72649
863.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4165
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93337
719.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
179939
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
10292
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244753
314.6 IPS |
|
|
Style Transfer (Q)
|
98% |
383293
494.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1875
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62365
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
108602
4.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
3861
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2800
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
15853
273.1 IPS |
|
|
Machine Translation (Q)
|
100% |
15821
272.5 IPS |