ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench AI Score
1905
Single Precision Score
3143
Half Precision Score
6291
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | April 08 2025 03:08 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 |
| 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% |
686
127.5 IPS |
|
|
Image Classification (HP)
|
100% |
2596
482.7 IPS |
|
|
Image Classification (Q)
|
99% |
6402
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2239
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4668
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
7097
8.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
16738
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
787
62.4 IPS |
|
|
Object Detection (HP)
|
99% |
2296
182.6 IPS |
|
|
Object Detection (Q)
|
86% |
6196
498.0 IPS |
|
|
Face Detection (SP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
7461
88.7 IPS |
|
|
Face Detection (Q)
|
97% |
11621
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2356
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3709
28.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
11208
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11371
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9629
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28799
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1445
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3753
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
676
902.9 IPS |
|
|
Text Classification (Q)
|
97% |
1254
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (HP)
|
99% |
2861
49.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3702
74.4 IPS |
