ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2120
Single Precision Score
3225
Half Precision Score
6743
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Physicist |
| Upload Date | July 09 2025 09:27 PM |
| 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 (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% |
712
132.4 IPS |
|
|
Image Classification (HP)
|
100% |
2830
526.3 IPS |
|
|
Image Classification (Q)
|
99% |
6702
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2371
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6386
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
8926
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
25066
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.4 IPS |
|
|
Object Detection (HP)
|
99% |
1946
154.8 IPS |
|
|
Object Detection (Q)
|
86% |
6503
522.6 IPS |
|
|
Face Detection (SP)
|
100% |
1886
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
6871
81.6 IPS |
|
|
Face Detection (Q)
|
97% |
11378
135.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2505
19.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3299
25.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
12008
95.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15194
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11652
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36184
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3920
145.2 IPS |
|
|
Text Classification (SP)
|
100% |
1547
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
670
894.6 IPS |
|
|
Text Classification (Q)
|
97% |
1270
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (HP)
|
99% |
2628
45.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3051
61.3 IPS |
