ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
424
Single Precision Score
522
Half Precision Score
1317
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Physicist |
| Upload Date | July 12 2025 07:57 PM |
| Views | 5 |
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 |
| 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% |
184
34.2 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.4 IPS |
|
|
Image Classification (Q)
|
99% |
962
179.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
519
8.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
550
8.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
1296
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1340
1.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
3628
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
99% |
149
11.9 IPS |
|
|
Object Detection (Q)
|
86% |
1372
110.3 IPS |
|
|
Face Detection (SP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (HP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
1933
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
503
3.87 IPS |
|
|
Depth Estimation (HP)
|
98% |
575
4.45 IPS |
|
|
Depth Estimation (Q)
|
79% |
1193
9.48 IPS |
|
|
Style Transfer (SP)
|
100% |
2957
3.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3605
4.63 IPS |
|
|
Style Transfer (Q)
|
98% |
7228
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
337
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
252
9.30 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1031
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
403
537.9 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.1 IPS |
|
|
Text Classification (Q)
|
97% |
456
610.6 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (HP)
|
99% |
581
10.0 IPS |
|
|
Machine Translation (Q)
|
65% |
765
15.4 IPS |
