| Upload Date | November 12 2025 03:13 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407CA_S3407CA |
| Motherboard | ASUSTeK COMPUTER INC. S3407CA |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5794
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
8631
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
11526
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7045
114.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17352
281.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19907
322.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18268
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
69894
81.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
134043
156.9 IPS |
|
|
Object Detection (SP)
|
100% |
5400
428.3 IPS |
|
|
Object Detection (HP)
|
100% |
10493
832.3 IPS |
|
|
Object Detection (Q)
|
88% |
12610
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
9922
117.9 IPS |
|
|
Face Detection (HP)
|
100% |
20309
241.3 IPS |
|
|
Face Detection (Q)
|
100% |
28908
343.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17904
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
32197
248.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
42643
331.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44819
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
114301
146.9 IPS |
|
|
Style Transfer (Q)
|
98% |
169144
218.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7663
283.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21251
784.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27795
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2204
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4732
81.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4744
81.7 IPS |