| Upload Date | November 28 2025 12:41 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607CA_X1607CA |
| Motherboard | ASUSTeK COMPUTER INC. X1607CA |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4748
882.9 IPS |
|
|
Image Classification (HP)
|
100% |
7313
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10749
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4395
71.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12411
201.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15014
243.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17060
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
65318
76.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
126068
147.6 IPS |
|
|
Object Detection (SP)
|
100% |
4635
367.6 IPS |
|
|
Object Detection (HP)
|
100% |
8964
711.0 IPS |
|
|
Object Detection (Q)
|
88% |
11405
914.0 IPS |
|
|
Face Detection (SP)
|
100% |
5799
68.9 IPS |
|
|
Face Detection (HP)
|
100% |
14051
167.0 IPS |
|
|
Face Detection (Q)
|
100% |
23265
276.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14600
112.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28061
216.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
37941
294.9 IPS |
|
|
Style Transfer (SP)
|
100% |
39001
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
98444
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
166479
214.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6848
252.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19246
710.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25780
954.7 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3135
4.18 KIPS |
|
|
Text Classification (Q)
|
92% |
2169
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4084
70.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4065
70.0 IPS |