User | danm1988 |
Upload Date | April 22 2025 03:35 PM |
Views | 7 |
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 | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1546
287.4 IPS |
|
Image Classification (HP)
|
100% |
2928
544.6 IPS |
|
Image Classification (Q)
|
100% |
4168
775.2 IPS |
|
Image Segmentation (SP)
|
100% |
2624
42.5 IPS |
|
Image Segmentation (HP)
|
100% |
1098
17.8 IPS |
|
Image Segmentation (Q)
|
99% |
1360
22.0 IPS |
|
Pose Estimation (SP)
|
100% |
4588
5.35 IPS |
|
Pose Estimation (HP)
|
100% |
13342
15.6 IPS |
|
Pose Estimation (Q)
|
96% |
29039
34.0 IPS |
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
Object Detection (HP)
|
100% |
2444
193.9 IPS |
|
Object Detection (Q)
|
87% |
4073
326.9 IPS |
|
Face Detection (SP)
|
100% |
5287
62.8 IPS |
|
Face Detection (HP)
|
100% |
7217
85.8 IPS |
|
Face Detection (Q)
|
100% |
13832
164.4 IPS |
|
Depth Estimation (SP)
|
100% |
5010
38.6 IPS |
|
Depth Estimation (HP)
|
99% |
8143
62.7 IPS |
|
Depth Estimation (Q)
|
88% |
15049
117.1 IPS |
|
Style Transfer (SP)
|
100% |
13252
17.0 IPS |
|
Style Transfer (HP)
|
100% |
23382
30.1 IPS |
|
Style Transfer (Q)
|
98% |
40110
51.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
2360
87.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
5695
210.3 IPS |
|
Image Super-Resolution (Q)
|
99% |
9733
360.5 IPS |
|
Text Classification (SP)
|
100% |
1810
2.42 KIPS |
|
Text Classification (HP)
|
100% |
956
1.28 KIPS |
|
Text Classification (Q)
|
92% |
959
1.29 KIPS |
|
Machine Translation (SP)
|
100% |
2106
36.3 IPS |
|
Machine Translation (HP)
|
100% |
1940
33.4 IPS |
|
Machine Translation (Q)
|
100% |
1967
33.9 IPS |