ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2069
Single Precision Score
11113
Half Precision Score
21925
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 18 2024 01:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
741
137.8 IPS |
|
|
Image Classification (HP)
|
100% |
10946
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
17740
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7559
122.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9306
151.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6949
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
69913
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
239590
280.8 IPS |
|
|
Object Detection (SP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (HP)
|
100% |
10882
863.1 IPS |
|
|
Object Detection (Q)
|
82% |
15108
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
22734
270.1 IPS |
|
|
Face Detection (Q)
|
97% |
46234
551.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2648
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42630
328.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
84372
685.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14973
19.2 IPS |
|
|
Style Transfer (HP)
|
23% |
2789
96.0 IPS |
|
|
Style Transfer (Q)
|
98% |
182381
235.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29330
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42257
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (Q)
|
95% |
3702
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (Q)
|
37% |
386
37.6 IPS |
