User | danm1988 |
Upload Date | June 06 2025 10:13 PM |
Views | 11 |
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 | Razer Cortex Power Plan |
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% |
1345
250.2 IPS |
|
Image Classification (HP)
|
100% |
2878
535.2 IPS |
|
Image Classification (Q)
|
100% |
4135
769.0 IPS |
|
Image Segmentation (SP)
|
100% |
2281
37.0 IPS |
|
Image Segmentation (HP)
|
100% |
1099
17.8 IPS |
|
Image Segmentation (Q)
|
99% |
1360
22.1 IPS |
|
Pose Estimation (SP)
|
100% |
3924
4.58 IPS |
|
Pose Estimation (HP)
|
100% |
13325
15.5 IPS |
|
Pose Estimation (Q)
|
96% |
28951
33.9 IPS |
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
Object Detection (HP)
|
100% |
2448
194.2 IPS |
|
Object Detection (Q)
|
87% |
4085
327.9 IPS |
|
Face Detection (SP)
|
100% |
4903
58.3 IPS |
|
Face Detection (HP)
|
100% |
7088
84.2 IPS |
|
Face Detection (Q)
|
100% |
13683
162.6 IPS |
|
Depth Estimation (SP)
|
100% |
4883
37.6 IPS |
|
Depth Estimation (HP)
|
99% |
8128
62.6 IPS |
|
Depth Estimation (Q)
|
88% |
14947
116.3 IPS |
|
Style Transfer (SP)
|
100% |
12486
16.1 IPS |
|
Style Transfer (HP)
|
100% |
23280
29.9 IPS |
|
Style Transfer (Q)
|
98% |
41693
53.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
1881
69.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
5688
210.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
9461
350.4 IPS |
|
Text Classification (SP)
|
100% |
1725
2.30 KIPS |
|
Text Classification (HP)
|
100% |
925
1.24 KIPS |
|
Text Classification (Q)
|
92% |
949
1.27 KIPS |
|
Machine Translation (SP)
|
100% |
1634
28.1 IPS |
|
Machine Translation (HP)
|
100% |
1904
32.8 IPS |
|
Machine Translation (Q)
|
100% |
1943
33.5 IPS |