ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_Q5507QA
Geekbench AI Score
234
Single Precision Score
352
Half Precision Score
669
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | August 31 2025 07:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_Q5507QA |
| Motherboard | ASUSTeK COMPUTER INC. S5507QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
183
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
99% |
1041
194.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
639
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
919
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
1545
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.85 IPS |
|
|
Object Detection (HP)
|
99% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
86% |
270
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
213
2.54 IPS |
|
|
Face Detection (HP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (Q)
|
97% |
640
7.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
215
1.66 IPS |
|
|
Depth Estimation (HP)
|
98% |
826
6.38 IPS |
|
|
Depth Estimation (Q)
|
79% |
1874
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1290
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1488
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
3248
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.47 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
367
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
86
114.7 IPS |
|
|
Text Classification (HP)
|
100% |
52
68.9 IPS |
|
|
Text Classification (Q)
|
97% |
150
201.0 IPS |
|
|
Machine Translation (SP)
|
100% |
180
3.11 IPS |
|
|
Machine Translation (HP)
|
99% |
246
4.25 IPS |
|
|
Machine Translation (Q)
|
65% |
303
6.09 IPS |
