User | danm1988 |
Upload Date | May 13 2025 08:21 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | NPU |
Device | Intel(R) AI Boost |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro Computer (HK) Tech Limited AtomMan X Series |
Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd MTBAC |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core Ultra 9 185H |
Topology | 1 Processor, 16 Cores, 22 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 2.30 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1533
285.0 IPS |
|
Image Classification (HP)
|
100% |
2938
546.4 IPS |
|
Image Classification (Q)
|
100% |
4164
774.3 IPS |
|
Image Segmentation (SP)
|
100% |
2545
41.3 IPS |
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
Image Segmentation (Q)
|
99% |
1358
22.0 IPS |
|
Pose Estimation (SP)
|
100% |
3940
4.60 IPS |
|
Pose Estimation (HP)
|
100% |
12593
14.7 IPS |
|
Pose Estimation (Q)
|
96% |
27422
32.1 IPS |
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
Object Detection (HP)
|
100% |
2417
191.7 IPS |
|
Object Detection (Q)
|
87% |
4069
326.6 IPS |
|
Face Detection (SP)
|
100% |
5243
62.3 IPS |
|
Face Detection (HP)
|
100% |
6835
81.2 IPS |
|
Face Detection (Q)
|
100% |
13769
163.6 IPS |
|
Depth Estimation (SP)
|
100% |
4392
33.8 IPS |
|
Depth Estimation (HP)
|
99% |
7698
59.3 IPS |
|
Depth Estimation (Q)
|
88% |
14241
110.8 IPS |
|
Style Transfer (SP)
|
100% |
13152
16.9 IPS |
|
Style Transfer (HP)
|
100% |
22106
28.4 IPS |
|
Style Transfer (Q)
|
98% |
38897
50.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
2342
86.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
5381
198.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
9722
360.0 IPS |
|
Text Classification (SP)
|
100% |
1980
2.64 KIPS |
|
Text Classification (HP)
|
100% |
956
1.28 KIPS |
|
Text Classification (Q)
|
92% |
958
1.29 KIPS |
|
Machine Translation (SP)
|
100% |
2082
35.9 IPS |
|
Machine Translation (HP)
|
100% |
1935
33.3 IPS |
|
Machine Translation (Q)
|
100% |
1964
33.8 IPS |