| User | kazk |
| Upload Date | September 21 2025 05:41 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd ARBSC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
3673
683.1 IPS |
|
|
Image Classification (HP)
|
100% |
4025
748.6 IPS |
|
|
Image Classification (Q)
|
100% |
9021
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4157
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8784
142.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7562
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
7094
8.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
26363
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
2990
237.1 IPS |
|
|
Object Detection (HP)
|
100% |
3837
304.3 IPS |
|
|
Object Detection (Q)
|
88% |
9729
779.9 IPS |
|
|
Face Detection (SP)
|
100% |
8833
105.0 IPS |
|
|
Face Detection (HP)
|
100% |
10434
124.0 IPS |
|
|
Face Detection (Q)
|
100% |
18047
214.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7788
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8622
66.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
22190
172.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19746
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20210
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
69342
89.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3930
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4506
166.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13651
505.5 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
4724
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5290
91.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2518
43.4 IPS |