ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench AI Score
1911
Single Precision Score
1512
Half Precision Score
5089
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 09:49 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 Single Language (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% |
682
126.8 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (Q)
|
99% |
3784
705.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2148
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4716
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
6369
7.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
18017
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
849
67.4 IPS |
|
|
Object Detection (HP)
|
99% |
609
48.5 IPS |
|
|
Object Detection (Q)
|
88% |
3910
313.4 IPS |
|
|
Face Detection (SP)
|
100% |
1763
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
5973
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2293
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2131
16.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
10550
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11081
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8541
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25337
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3763
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
432
576.5 IPS |
|
|
Text Classification (Q)
|
97% |
1251
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1682
29.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2711
60.5 IPS |
