| Upload Date | October 31 2025 06:58 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer S4I7G60SRDDC |
| Motherboard | MouseComputer V540TND-SJ |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5603
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
8901
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
10610
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4346
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11266
182.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16625
269.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24359
28.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
22529
26.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
76329
89.4 IPS |
|
|
Object Detection (SP)
|
100% |
5430
430.7 IPS |
|
|
Object Detection (HP)
|
100% |
9146
725.4 IPS |
|
|
Object Detection (Q)
|
88% |
13792
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
8302
98.6 IPS |
|
|
Face Detection (HP)
|
100% |
16885
200.6 IPS |
|
|
Face Detection (Q)
|
100% |
30579
363.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18881
145.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
32736
253.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
40303
313.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53769
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
71381
91.8 IPS |
|
|
Style Transfer (Q)
|
98% |
178727
230.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9065
334.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15644
577.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23652
875.9 IPS |
|
|
Text Classification (SP)
|
71% |
1766
2.55 KIPS |
|
|
Text Classification (HP)
|
71% |
2698
3.90 KIPS |
|
|
Text Classification (Q)
|
92% |
2744
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2555
44.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4200
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4214
72.8 IPS |