ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2207
Single Precision Score
1738
Half Precision Score
5729
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | SDAOnliner |
| Upload Date | November 12 2024 07:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Windows 11 (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% |
744
138.3 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.8 IPS |
|
|
Image Classification (Q)
|
99% |
4221
787.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2989
48.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2391
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6913
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
8427
9.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
25439
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
941
74.6 IPS |
|
|
Object Detection (HP)
|
99% |
638
50.8 IPS |
|
|
Object Detection (Q)
|
88% |
4500
360.7 IPS |
|
|
Face Detection (SP)
|
100% |
1880
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
6412
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2676
20.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2440
18.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
10047
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17069
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11464
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36455
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2469
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1277
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3989
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
453
604.4 IPS |
|
|
Text Classification (Q)
|
97% |
1240
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1892
32.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2842
63.4 IPS |
