ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607QA_S3607QA
Geekbench AI Score
1755
Single Precision Score
2638
Half Precision Score
5797
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 23 2025 12:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
632
117.6 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.4 IPS |
|
|
Image Classification (Q)
|
99% |
5713
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2726
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1994
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4339
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
5100
5.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
16641
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (HP)
|
99% |
1604
127.6 IPS |
|
|
Object Detection (Q)
|
86% |
5768
463.6 IPS |
|
|
Face Detection (SP)
|
100% |
1758
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
6514
77.4 IPS |
|
|
Face Detection (Q)
|
97% |
10411
124.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2151
16.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2780
21.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
10012
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10030
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9752
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28730
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1832
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1292
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3381
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
1450
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.6 IPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1706
29.4 IPS |
|
|
Machine Translation (HP)
|
99% |
2651
45.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3413
68.6 IPS |
