ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
537
Single Precision Score
448
Half Precision Score
1410
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | Anvin |
| Upload Date | September 17 2024 07:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - 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_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.4 IPS |
|
|
Image Classification (Q)
|
99% |
1247
232.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
529
8.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
1196
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2032
2.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
4101
4.81 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (HP)
|
99% |
117
9.33 IPS |
|
|
Object Detection (Q)
|
88% |
1150
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
884
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (Q)
|
97% |
1820
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
401
3.09 IPS |
|
|
Depth Estimation (HP)
|
98% |
412
3.19 IPS |
|
|
Depth Estimation (Q)
|
77% |
1077
8.61 IPS |
|
|
Style Transfer (SP)
|
100% |
3140
4.04 IPS |
|
|
Style Transfer (HP)
|
100% |
3619
4.65 IPS |
|
|
Style Transfer (Q)
|
98% |
5716
7.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
250
9.25 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
901
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
587
783.8 IPS |
|
|
Text Classification (HP)
|
100% |
237
316.1 IPS |
|
|
Text Classification (Q)
|
97% |
894
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (HP)
|
99% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1114
24.8 IPS |
