ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
1877
Single Precision Score
2956
Half Precision Score
5904
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Physicist |
| Upload Date | July 12 2025 08:16 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% |
715
133.0 IPS |
|
|
Image Classification (HP)
|
100% |
2893
537.9 IPS |
|
|
Image Classification (Q)
|
99% |
6748
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3312
53.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2365
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6199
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
7989
9.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
20340
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
99% |
2061
164.0 IPS |
|
|
Object Detection (Q)
|
86% |
5468
439.5 IPS |
|
|
Face Detection (SP)
|
100% |
1567
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
5788
68.8 IPS |
|
|
Face Detection (Q)
|
97% |
9958
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2085
16.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3205
24.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
10123
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12607
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10189
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31495
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1923
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3384
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
574
766.6 IPS |
|
|
Text Classification (Q)
|
97% |
1022
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (HP)
|
99% |
2291
39.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2641
53.1 IPS |
