ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench AI Score
1932
Single Precision Score
11166
Half Precision Score
21971
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | November 18 2024 01:07 PM |
| 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 | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA |
| Motherboard | ASUSTeK COMPUTER INC. S5507QA |
| 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% |
684
127.2 IPS |
|
|
Image Classification (HP)
|
100% |
10995
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
17240
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7546
122.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9384
152.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4706
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
69999
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
240386
281.8 IPS |
|
|
Object Detection (SP)
|
100% |
848
67.2 IPS |
|
|
Object Detection (HP)
|
100% |
11077
878.6 IPS |
|
|
Object Detection (Q)
|
82% |
15702
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
23051
273.9 IPS |
|
|
Face Detection (Q)
|
97% |
45515
542.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2363
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42469
327.2 IPS |
|
|
Depth Estimation (Q)
|
74% |
86262
701.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11275
14.5 IPS |
|
|
Style Transfer (HP)
|
23% |
2759
95.0 IPS |
|
|
Style Transfer (Q)
|
98% |
179390
231.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2028
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30598
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44129
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
1607
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (Q)
|
95% |
3579
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (Q)
|
37% |
386
37.6 IPS |
