ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
1696
Single Precision Score
2888
Half Precision Score
5852
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 14 2025 01:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel pour les Stations de travail (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
617
114.8 IPS |
|
|
Image Classification (HP)
|
100% |
2486
462.3 IPS |
|
|
Image Classification (Q)
|
99% |
3883
724.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3343
54.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8074
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6742
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
25557
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (HP)
|
99% |
2379
189.3 IPS |
|
|
Object Detection (Q)
|
86% |
4553
365.9 IPS |
|
|
Face Detection (SP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
6554
77.9 IPS |
|
|
Face Detection (Q)
|
97% |
9793
116.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2003
15.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3816
29.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
12121
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17055
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12195
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
37309
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2549
94.4 IPS |
|
|
Text Classification (SP)
|
100% |
720
960.4 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.5 IPS |
|
|
Text Classification (Q)
|
97% |
563
754.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1754
30.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2032
40.8 IPS |
