ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench AI Score
1925
Single Precision Score
16370
Half Precision Score
38130
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | July 09 2025 08:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA |
| 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% |
683
127.0 IPS |
|
|
Image Classification (HP)
|
100% |
10977
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
17986
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8209
133.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20082
326.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4734
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
71306
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
245556
287.8 IPS |
|
|
Object Detection (SP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (HP)
|
100% |
11323
898.2 IPS |
|
|
Object Detection (Q)
|
92% |
20793
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
1854
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
23923
284.3 IPS |
|
|
Face Detection (Q)
|
97% |
61961
738.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2346
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41594
320.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
104238
832.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11357
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54402
69.9 IPS |
|
|
Style Transfer (Q)
|
98% |
251672
324.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28658
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64597
2.39 KIPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2631
3.51 KIPS |
|
|
Text Classification (Q)
|
95% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4656
80.2 IPS |
|
|
Machine Translation (Q)
|
67% |
8625
167.9 IPS |
