ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench AI Score
1660
Single Precision Score
1288
Half Precision Score
4342
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | snagata09 |
| Upload Date | November 03 2024 12:56 PM |
| 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% |
646
120.1 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
99% |
3304
616.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1930
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3873
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
5425
6.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
14792
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
99% |
477
38.0 IPS |
|
|
Object Detection (Q)
|
88% |
3561
285.4 IPS |
|
|
Face Detection (SP)
|
100% |
1529
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (Q)
|
97% |
5644
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2153
16.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
1658
12.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6659
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9094
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8367
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25520
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
922
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3129
115.9 IPS |
|
|
Text Classification (SP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
367
490.1 IPS |
|
|
Text Classification (Q)
|
97% |
1048
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1396
24.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2255
50.3 IPS |
