ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2158
Single Precision Score
1704
Half Precision Score
5542
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 01:40 AM |
| Views | 2 |
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 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
739
137.5 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.8 IPS |
|
|
Image Classification (Q)
|
99% |
4052
755.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2396
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6919
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
8912
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25944
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (HP)
|
99% |
653
52.0 IPS |
|
|
Object Detection (Q)
|
88% |
4418
354.2 IPS |
|
|
Face Detection (SP)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
6243
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2644
20.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2256
17.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
9222
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17154
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9778
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28701
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1913
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4044
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
1477
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
451
601.7 IPS |
|
|
Text Classification (Q)
|
97% |
1251
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2244
38.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1926
33.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2941
65.6 IPS |
