ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2095
Single Precision Score
3371
Half Precision Score
6738
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Physicist |
| Upload Date | July 12 2025 08:13 PM |
| Views | 6 |
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% |
2951
548.7 IPS |
|
|
Image Classification (Q)
|
99% |
6717
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3312
53.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2329
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6129
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8556
9.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
24380
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (HP)
|
99% |
2427
193.1 IPS |
|
|
Object Detection (Q)
|
86% |
6600
530.5 IPS |
|
|
Face Detection (SP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
7040
83.6 IPS |
|
|
Face Detection (Q)
|
97% |
10871
129.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2440
18.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3812
29.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
12325
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15382
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11762
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36830
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3967
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
676
902.6 IPS |
|
|
Text Classification (Q)
|
97% |
1253
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2688
46.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3125
62.8 IPS |
