| User | danm1988 |
| Upload Date | October 07 2025 09:04 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| 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% |
1321
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (Q)
|
100% |
4781
889.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4642
75.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4436
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4497
5.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
15939
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (Q)
|
88% |
3674
294.5 IPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
4785
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
9770
116.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4512
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4543
35.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11146
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12515
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12064
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
40428
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2187
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7295
270.1 IPS |
|
|
Text Classification (SP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1793
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
2689
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2117
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2084
35.9 IPS |