| User | kazk |
| Upload Date | September 21 2025 05:43 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (64GB) (iGPU) |
| 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% |
6897
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
11497
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
15383
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8003
129.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20710
335.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24684
400.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25716
30.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
101053
117.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
187041
219.0 IPS |
|
|
Object Detection (SP)
|
100% |
6755
535.8 IPS |
|
|
Object Detection (HP)
|
100% |
13282
1.05 KIPS |
|
|
Object Detection (Q)
|
88% |
16795
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
11086
131.7 IPS |
|
|
Face Detection (HP)
|
100% |
25725
305.7 IPS |
|
|
Face Detection (Q)
|
100% |
35639
423.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21766
167.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46305
356.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
60886
473.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60936
78.3 IPS |
|
|
Style Transfer (HP)
|
100% |
162173
208.5 IPS |
|
|
Style Transfer (Q)
|
98% |
271210
349.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10418
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28535
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35306
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
92% |
2797
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5830
100.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5721
98.5 IPS |