ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607QA_S3607QA
Geekbench AI Score
1795
Single Precision Score
15741
Half Precision Score
34697
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 26 2025 11:48 AM |
| Views | 4 |
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 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607QA_S3607QA |
| Motherboard | ASUSTeK COMPUTER INC. S3607QA |
| 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% |
621
115.4 IPS |
|
|
Image Classification (HP)
|
100% |
10375
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
16227
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8044
130.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16685
271.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4288
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
69655
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
240795
282.2 IPS |
|
|
Object Detection (SP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (HP)
|
100% |
10716
850.0 IPS |
|
|
Object Detection (Q)
|
92% |
19320
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
24034
285.6 IPS |
|
|
Face Detection (Q)
|
97% |
56354
672.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2157
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42198
325.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
103575
826.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10265
13.2 IPS |
|
|
Style Transfer (HP)
|
98% |
57187
73.7 IPS |
|
|
Style Transfer (Q)
|
98% |
259058
334.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28972
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63488
2.34 KIPS |
|
|
Text Classification (SP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (Q)
|
95% |
3456
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (Q)
|
67% |
6053
117.8 IPS |
