ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
436
Single Precision Score
13853
Half Precision Score
27698
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | April 30 2025 05:34 PM |
| 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 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% |
114
21.3 IPS |
|
|
Image Classification (HP)
|
100% |
9648
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
13156
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
7581
122.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14961
243.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1219
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
68325
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
200732
235.3 IPS |
|
|
Object Detection (SP)
|
100% |
61
4.85 IPS |
|
|
Object Detection (HP)
|
100% |
9884
784.0 IPS |
|
|
Object Detection (Q)
|
92% |
15665
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
427
5.07 IPS |
|
|
Face Detection (HP)
|
100% |
19693
234.0 IPS |
|
|
Face Detection (Q)
|
97% |
46258
551.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
39046
300.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
94264
752.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3555
4.57 IPS |
|
|
Style Transfer (HP)
|
98% |
56194
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
232309
299.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25531
942.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
49988
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
513
685.3 IPS |
|
|
Text Classification (HP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (Q)
|
95% |
2654
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2754
47.4 IPS |
|
|
Machine Translation (Q)
|
67% |
3196
62.2 IPS |
