ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench AI Score
442
Single Precision Score
429
Half Precision Score
1252
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | October 13 2024 11:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Plus - X1P42100 - 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_S5507QA |
| Motherboard | ASUSTeK COMPUTER INC. S5507QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
154
28.7 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (Q)
|
99% |
857
159.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
676
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1129
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1745
2.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
3555
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (HP)
|
99% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
88% |
878
70.4 IPS |
|
|
Face Detection (SP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
97% |
1839
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
521
4.01 IPS |
|
|
Depth Estimation (HP)
|
98% |
576
4.45 IPS |
|
|
Depth Estimation (Q)
|
77% |
1733
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2814
3.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3366
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6786
8.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
828
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
379
505.7 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.1 IPS |
|
|
Text Classification (Q)
|
97% |
411
550.1 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (HP)
|
99% |
483
8.35 IPS |
|
|
Machine Translation (Q)
|
60% |
712
15.9 IPS |
