ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607QA_S3607QA
Geekbench AI Score
1421
Single Precision Score
16030
Half Precision Score
39193
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 03 2025 06:38 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607QA_S3607QA |
| Motherboard | ASUSTeK COMPUTER INC. S3607QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 2.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (HP)
|
100% |
10238
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
17589
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
8004
129.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22019
358.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4210
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
70170
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
239721
281.0 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
100% |
10392
824.3 IPS |
|
|
Object Detection (Q)
|
92% |
21371
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
24514
291.3 IPS |
|
|
Face Detection (Q)
|
97% |
65446
780.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1655
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41403
319.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
106300
848.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10414
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53261
68.5 IPS |
|
|
Style Transfer (Q)
|
98% |
255603
329.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29592
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62004
2.29 KIPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (Q)
|
95% |
3792
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4723
81.4 IPS |
|
|
Machine Translation (Q)
|
67% |
10312
200.7 IPS |
