ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607QA_S3607QA
Geekbench AI Score
1453
Single Precision Score
16061
Half Precision Score
38900
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 03 2025 06:36 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% |
496
92.2 IPS |
|
|
Image Classification (HP)
|
100% |
10202
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
17661
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8156
132.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21426
348.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4215
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
69925
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
240759
282.2 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (HP)
|
100% |
11214
889.5 IPS |
|
|
Object Detection (Q)
|
92% |
20743
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
1422
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
24058
285.9 IPS |
|
|
Face Detection (Q)
|
97% |
65513
781.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1654
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
41697
321.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
106976
853.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10338
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53065
68.2 IPS |
|
|
Style Transfer (Q)
|
98% |
251084
323.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29693
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61696
2.28 KIPS |
|
|
Text Classification (SP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (Q)
|
95% |
3790
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4644
80.0 IPS |
|
|
Machine Translation (Q)
|
67% |
10206
198.6 IPS |
