ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench AI Score
1933
Single Precision Score
16377
Half Precision Score
38401
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | July 09 2025 08:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA |
| Motherboard | ASUSTeK COMPUTER INC. S5507QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (HP)
|
100% |
10849
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
17955
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8219
133.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20414
331.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4724
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
70676
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
244426
286.5 IPS |
|
|
Object Detection (SP)
|
100% |
851
67.5 IPS |
|
|
Object Detection (HP)
|
100% |
11324
898.2 IPS |
|
|
Object Detection (Q)
|
92% |
20974
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
24051
285.8 IPS |
|
|
Face Detection (Q)
|
97% |
61318
731.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2330
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41753
321.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
106325
848.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11476
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54391
69.9 IPS |
|
|
Style Transfer (Q)
|
98% |
251436
324.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28658
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64430
2.38 KIPS |
|
|
Text Classification (SP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2656
3.54 KIPS |
|
|
Text Classification (Q)
|
95% |
3938
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4679
80.6 IPS |
|
|
Machine Translation (Q)
|
67% |
8924
173.7 IPS |
