| Upload Date | November 12 2025 03:41 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
620
115.3 IPS |
|
|
Image Classification (HP)
|
100% |
1868
347.4 IPS |
|
|
Image Classification (Q)
|
99% |
3765
702.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3331
54.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7862
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6598
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
9493
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
24338
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.7 IPS |
|
|
Object Detection (HP)
|
99% |
2293
182.4 IPS |
|
|
Object Detection (Q)
|
86% |
4669
375.3 IPS |
|
|
Face Detection (SP)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (Q)
|
97% |
9878
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2030
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3911
30.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
13116
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16595
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12252
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36317
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2472
91.5 IPS |
|
|
Text Classification (SP)
|
100% |
717
956.8 IPS |
|
|
Text Classification (HP)
|
100% |
440
587.8 IPS |
|
|
Text Classification (Q)
|
97% |
701
938.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1751
30.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1811
36.4 IPS |