ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407QA_S3407QA
Geekbench AI Score
1372
Single Precision Score
2159
Half Precision Score
5340
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | September 03 2025 09:31 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 Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407QA_S3407QA |
| Motherboard | ASUSTeK COMPUTER INC. S3407QA |
| 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% |
602
111.9 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
99% |
5639
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3200
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4823
5.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
12303
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
99% |
784
62.3 IPS |
|
|
Object Detection (Q)
|
86% |
4902
394.0 IPS |
|
|
Face Detection (SP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
5775
68.6 IPS |
|
|
Face Detection (Q)
|
97% |
8433
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1377
10.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
1789
13.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
10916
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10233
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8468
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21281
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3111
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
578
770.8 IPS |
|
|
Text Classification (Q)
|
97% |
1030
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2726
47.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2763
55.5 IPS |
