| User | danm1988 |
| Upload Date | October 07 2025 09:06 PM |
| Views | 6 |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.4 IPS |
|
|
Image Classification (Q)
|
100% |
4242
788.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1101
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1361
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3951
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13323
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
28545
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (HP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (Q)
|
88% |
4159
333.4 IPS |
|
|
Face Detection (SP)
|
100% |
4947
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
6992
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
13139
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4339
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8132
62.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
14864
115.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11650
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23349
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42013
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6285
232.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12519
463.6 IPS |
|
|
Text Classification (SP)
|
100% |
1625
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
939
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1625
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2071
35.7 IPS |