ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
917
Single Precision Score
1854
Half Precision Score
4007
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | September 21 2025 01:39 AM |
| Views | 3 |
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 Single Language (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (Q)
|
99% |
3171
591.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4541
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2476
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
12454
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (HP)
|
99% |
1417
112.8 IPS |
|
|
Object Detection (Q)
|
86% |
3106
249.6 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (Q)
|
97% |
6241
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1431
11.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2469
19.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
7497
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6243
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
7079
9.10 IPS |
|
|
Style Transfer (Q)
|
98% |
19648
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2278
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
615
820.6 IPS |
|
|
Text Classification (HP)
|
100% |
377
502.8 IPS |
|
|
Text Classification (Q)
|
97% |
598
801.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1438
24.8 IPS |
|
|
Machine Translation (Q)
|
65% |
1532
30.8 IPS |
