ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2002
Single Precision Score
3353
Half Precision Score
5977
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | tragazzini |
| Upload Date | July 23 2025 11:25 PM |
| Views | 4 |
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 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| Power Plan | Bilanciato |
| 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% |
738
137.3 IPS |
|
|
Image Classification (HP)
|
100% |
3269
607.9 IPS |
|
|
Image Classification (Q)
|
99% |
6896
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3382
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9578
155.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6141
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6678
7.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
23039
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
819
65.0 IPS |
|
|
Object Detection (HP)
|
99% |
2446
194.6 IPS |
|
|
Object Detection (Q)
|
86% |
6886
553.4 IPS |
|
|
Face Detection (SP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
7242
86.0 IPS |
|
|
Face Detection (Q)
|
97% |
12238
145.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2355
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3670
28.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
15248
121.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16066
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11971
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
4129
5.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2229
82.5 IPS |
|
|
Text Classification (SP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
648
865.1 IPS |
|
|
Text Classification (Q)
|
97% |
1041
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (HP)
|
99% |
3380
58.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3109
62.5 IPS |
