ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
1824
Single Precision Score
2442
Half Precision Score
6077
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | summer0606 |
| Upload Date | April 27 2025 04:42 PM |
| Views | 4 |
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 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| 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% |
731
135.9 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.4 IPS |
|
|
Image Classification (Q)
|
99% |
6913
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3388
54.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2372
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6298
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3894
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
21106
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (HP)
|
99% |
1225
97.4 IPS |
|
|
Object Detection (Q)
|
86% |
5621
451.7 IPS |
|
|
Face Detection (SP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
6299
74.9 IPS |
|
|
Face Detection (Q)
|
97% |
10807
128.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2345
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2648
20.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
9967
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12985
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10065
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32706
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1223
45.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3297
122.1 IPS |
|
|
Text Classification (SP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
547
730.3 IPS |
|
|
Text Classification (Q)
|
97% |
1005
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2450
42.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3029
60.9 IPS |
