ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench AI Score
1914
Single Precision Score
11196
Half Precision Score
22077
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 17 2024 11:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA |
| Motherboard | ASUSTeK COMPUTER INC. S5507QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
681
126.7 IPS |
|
|
Image Classification (HP)
|
100% |
10881
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
17200
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7528
122.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9318
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4681
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
70514
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
241427
283.0 IPS |
|
|
Object Detection (SP)
|
100% |
843
66.9 IPS |
|
|
Object Detection (HP)
|
100% |
10871
862.3 IPS |
|
|
Object Detection (Q)
|
82% |
15796
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
1809
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
22828
271.2 IPS |
|
|
Face Detection (Q)
|
97% |
46335
552.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2345
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43025
331.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
85838
697.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11395
14.6 IPS |
|
|
Style Transfer (HP)
|
23% |
2797
96.3 IPS |
|
|
Style Transfer (Q)
|
98% |
184104
237.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30462
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44092
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (Q)
|
95% |
3566
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2816
48.5 IPS |
|
|
Machine Translation (Q)
|
37% |
391
38.1 IPS |
