| Upload Date | October 20 2025 11:33 AM |
| Views | 21 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd ARBSC |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2232
415.0 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.9 IPS |
|
|
Image Classification (Q)
|
99% |
4822
899.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6412
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4635
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3424
4.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
17232
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (Q)
|
86% |
4691
377.0 IPS |
|
|
Face Detection (SP)
|
100% |
5958
70.8 IPS |
|
|
Face Detection (HP)
|
100% |
1316
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
7272
86.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6029
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1819
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12340
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11310
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8458
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17160
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4138
153.2 IPS |
|
|
Text Classification (SP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
596
795.5 IPS |
|
|
Text Classification (Q)
|
97% |
1232
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2096
42.1 IPS |