User | _xKaz |
Upload Date | March 07 2025 12:58 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. Stealth 16 AI Studio A1VHG |
Motherboard | Micro-Star International Co., Ltd. MS-15F3 |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core Ultra 7 155H |
Topology | 1 Processor, 16 Cores, 22 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 3.80 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1145
213.0 IPS |
|
Image Classification (HP)
|
100% |
4441
826.0 IPS |
|
Image Classification (Q)
|
56% |
4245
1.19 KIPS |
|
Image Segmentation (SP)
|
100% |
1687
27.3 IPS |
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
Image Segmentation (Q)
|
99% |
3106
50.3 IPS |
|
Pose Estimation (SP)
|
100% |
2858
3.33 IPS |
|
Pose Estimation (HP)
|
100% |
28683
33.5 IPS |
|
Pose Estimation (Q)
|
96% |
62036
72.7 IPS |
|
Object Detection (SP)
|
100% |
1202
95.3 IPS |
|
Object Detection (HP)
|
100% |
4547
360.7 IPS |
|
Object Detection (Q)
|
87% |
7570
607.6 IPS |
|
Face Detection (SP)
|
100% |
3631
43.1 IPS |
|
Face Detection (HP)
|
100% |
13398
159.2 IPS |
|
Face Detection (Q)
|
100% |
21073
250.4 IPS |
|
Depth Estimation (SP)
|
100% |
3393
26.1 IPS |
|
Depth Estimation (HP)
|
99% |
15469
119.2 IPS |
|
Depth Estimation (Q)
|
88% |
28557
222.2 IPS |
|
Style Transfer (SP)
|
100% |
8220
10.6 IPS |
|
Style Transfer (HP)
|
100% |
44009
56.6 IPS |
|
Style Transfer (Q)
|
98% |
78848
101.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
10281
379.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
15709
581.8 IPS |
|
Text Classification (SP)
|
100% |
1246
1.66 KIPS |
|
Text Classification (HP)
|
100% |
1656
2.21 KIPS |
|
Text Classification (Q)
|
92% |
1849
2.48 KIPS |
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
Machine Translation (HP)
|
100% |
2671
46.0 IPS |
|
Machine Translation (Q)
|
100% |
2676
46.1 IPS |