ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
1702
Single Precision Score
16402
Half Precision Score
40508
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 14 2025 02:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
609
113.3 IPS |
|
|
Image Classification (HP)
|
100% |
10814
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
19244
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8097
131.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22050
358.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6640
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
71439
83.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
246508
288.9 IPS |
|
|
Object Detection (SP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (HP)
|
100% |
10903
864.8 IPS |
|
|
Object Detection (Q)
|
92% |
21380
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
1674
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
23896
283.9 IPS |
|
|
Face Detection (Q)
|
97% |
67940
810.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1975
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41870
322.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
106755
852.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17007
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53613
68.9 IPS |
|
|
Style Transfer (Q)
|
98% |
249713
322.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28913
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60852
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (Q)
|
95% |
4343
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5005
86.2 IPS |
|
|
Machine Translation (Q)
|
67% |
11115
216.3 IPS |
