| Upload Date | November 13 2025 10:35 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd ARBSC |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2810
522.5 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.8 IPS |
|
|
Image Classification (Q)
|
99% |
5092
949.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8925
145.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6136
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
25814
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.4 IPS |
|
|
Object Detection (Q)
|
86% |
4961
398.7 IPS |
|
|
Face Detection (SP)
|
100% |
8805
104.6 IPS |
|
|
Face Detection (HP)
|
100% |
1658
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
9258
110.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7876
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1651
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15169
121.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17154
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
4967
6.39 IPS |
|
|
Style Transfer (Q)
|
98% |
23944
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2531
93.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4566
169.1 IPS |
|
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
565
753.8 IPS |
|
|
Text Classification (Q)
|
97% |
1220
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2174
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3488
70.1 IPS |