ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench AI Score
1872
Single Precision Score
16101
Half Precision Score
36630
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | April 18 2025 01:13 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 |
| 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 | 3.24 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
127.1 IPS |
|
|
Image Classification (HP)
|
100% |
10896
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
18546
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7978
129.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17319
281.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4680
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
70604
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
243531
285.5 IPS |
|
|
Object Detection (SP)
|
100% |
840
66.6 IPS |
|
|
Object Detection (HP)
|
100% |
11491
911.5 IPS |
|
|
Object Detection (Q)
|
92% |
20291
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
1888
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
23694
281.5 IPS |
|
|
Face Detection (Q)
|
97% |
59497
709.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2371
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42801
329.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
108920
869.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11221
14.4 IPS |
|
|
Style Transfer (HP)
|
98% |
57421
74.0 IPS |
|
|
Style Transfer (Q)
|
98% |
262414
338.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1902
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29463
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
67274
2.48 KIPS |
|
|
Text Classification (SP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2504
3.34 KIPS |
|
|
Text Classification (Q)
|
95% |
3783
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (Q)
|
67% |
6332
123.2 IPS |
