| Upload Date | October 31 2025 07:00 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1576
293.1 IPS |
|
|
Image Classification (HP)
|
100% |
6140
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8604
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2499
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3455
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5218
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
30003
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
64849
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
100% |
5466
433.6 IPS |
|
|
Object Detection (Q)
|
87% |
8935
717.1 IPS |
|
|
Face Detection (SP)
|
100% |
4972
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
14956
177.7 IPS |
|
|
Face Detection (Q)
|
100% |
27590
327.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4512
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16224
125.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30059
233.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12104
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
44826
57.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83265
107.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12519
462.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20935
775.3 IPS |
|
|
Text Classification (SP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1788
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
1771
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3871
66.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3888
67.0 IPS |