ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench AI Score
1901
Single Precision Score
1565
Half Precision Score
5025
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 17 2024 11:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
679
126.2 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.8 IPS |
|
|
Image Classification (Q)
|
99% |
3641
679.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2153
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4537
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
7088
8.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
16770
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
766
60.8 IPS |
|
|
Object Detection (HP)
|
99% |
602
47.9 IPS |
|
|
Object Detection (Q)
|
88% |
3931
315.1 IPS |
|
|
Face Detection (SP)
|
100% |
1805
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
871
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
5947
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2364
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2283
17.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
8978
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11343
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9627
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29240
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3760
139.2 IPS |
|
|
Text Classification (SP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
441
588.7 IPS |
|
|
Text Classification (Q)
|
97% |
1243
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1692
29.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2727
60.8 IPS |
