User | danm1988 |
Upload Date | April 01 2025 09:26 PM |
Views | 6 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | NPU |
Device | Intel(R) AI Boost |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro Insider Preview (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 | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1647
306.4 IPS |
|
Image Classification (HP)
|
100% |
2930
544.9 IPS |
|
Image Classification (Q)
|
100% |
4184
778.0 IPS |
|
Image Segmentation (SP)
|
100% |
2773
44.9 IPS |
|
Image Segmentation (HP)
|
100% |
1099
17.8 IPS |
|
Image Segmentation (Q)
|
99% |
1362
22.1 IPS |
|
Pose Estimation (SP)
|
100% |
4741
5.53 IPS |
|
Pose Estimation (HP)
|
100% |
13353
15.6 IPS |
|
Pose Estimation (Q)
|
96% |
29049
34.0 IPS |
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
Object Detection (HP)
|
100% |
2446
194.0 IPS |
|
Object Detection (Q)
|
87% |
4078
327.3 IPS |
|
Face Detection (SP)
|
100% |
5487
65.2 IPS |
|
Face Detection (HP)
|
100% |
7227
85.9 IPS |
|
Face Detection (Q)
|
100% |
13834
164.4 IPS |
|
Depth Estimation (SP)
|
100% |
5327
41.0 IPS |
|
Depth Estimation (HP)
|
99% |
8142
62.7 IPS |
|
Depth Estimation (Q)
|
88% |
15068
117.2 IPS |
|
Style Transfer (SP)
|
100% |
13753
17.7 IPS |
|
Style Transfer (HP)
|
100% |
23386
30.1 IPS |
|
Style Transfer (Q)
|
98% |
40095
51.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
2488
91.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
5706
210.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
9746
360.9 IPS |
|
Text Classification (SP)
|
100% |
1921
2.56 KIPS |
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
Text Classification (Q)
|
92% |
964
1.30 KIPS |
|
Machine Translation (SP)
|
100% |
2458
42.3 IPS |
|
Machine Translation (HP)
|
100% |
1943
33.5 IPS |
|
Machine Translation (Q)
|
100% |
1972
34.0 IPS |