ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2128
Single Precision Score
15139
Half Precision Score
26034
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Physicist |
| Upload Date | July 09 2025 09:31 PM |
| Views | 3 |
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 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (HP)
|
100% |
10254
1.91 KIPS |
|
|
Image Classification (Q)
|
99% |
16181
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7313
118.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9251
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6380
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
69658
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
235785
276.4 IPS |
|
|
Object Detection (SP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (HP)
|
100% |
10863
861.7 IPS |
|
|
Object Detection (Q)
|
92% |
13021
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
1880
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
21774
258.7 IPS |
|
|
Face Detection (Q)
|
97% |
43410
517.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2543
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41407
319.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
99171
795.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16202
20.8 IPS |
|
|
Style Transfer (HP)
|
98% |
56932
73.4 IPS |
|
|
Style Transfer (Q)
|
98% |
207502
267.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2355
87.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28393
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40408
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (Q)
|
95% |
3580
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (Q)
|
67% |
2409
46.9 IPS |
