| Upload Date | November 28 2025 12:49 AM |
| Views | 2 |
| 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% |
4695
873.2 IPS |
|
|
Image Classification (HP)
|
100% |
7304
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10708
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4377
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12454
201.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14919
241.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17096
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
64934
75.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
125460
146.9 IPS |
|
|
Object Detection (SP)
|
100% |
4679
371.2 IPS |
|
|
Object Detection (HP)
|
100% |
8930
708.3 IPS |
|
|
Object Detection (Q)
|
88% |
11235
900.3 IPS |
|
|
Face Detection (SP)
|
100% |
5921
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
14171
168.4 IPS |
|
|
Face Detection (Q)
|
100% |
23091
274.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14341
110.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28123
216.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
37957
295.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38461
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
97687
125.6 IPS |
|
|
Style Transfer (Q)
|
98% |
165533
213.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6801
251.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18884
697.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25352
938.9 IPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (Q)
|
92% |
2190
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4052
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4069
70.1 IPS |