ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607QA_S3607QA
Geekbench AI Score
1811
Single Precision Score
2926
Half Precision Score
5863
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 26 2025 11:45 AM |
| Views | 6 |
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% |
623
115.8 IPS |
|
|
Image Classification (HP)
|
100% |
2396
445.6 IPS |
|
|
Image Classification (Q)
|
99% |
5891
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2748
44.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2016
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4296
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6711
7.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
16504
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
784
62.1 IPS |
|
|
Object Detection (HP)
|
99% |
2053
163.3 IPS |
|
|
Object Detection (Q)
|
86% |
5764
463.3 IPS |
|
|
Face Detection (SP)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
6731
80.0 IPS |
|
|
Face Detection (Q)
|
97% |
10508
125.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2173
16.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3387
26.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
10260
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10456
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10077
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29004
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3458
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
1452
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
632
843.4 IPS |
|
|
Text Classification (Q)
|
97% |
1144
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2567
44.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3436
69.0 IPS |
