ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2230
Single Precision Score
11062
Half Precision Score
21744
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 03:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
748
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
11017
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
17439
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7609
123.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9434
153.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6953
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
70296
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
240190
281.5 IPS |
|
|
Object Detection (SP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (HP)
|
100% |
10863
861.7 IPS |
|
|
Object Detection (Q)
|
82% |
15064
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
1928
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
23002
273.3 IPS |
|
|
Face Detection (Q)
|
97% |
45539
543.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2678
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41731
321.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
82376
669.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16920
21.8 IPS |
|
|
Style Transfer (HP)
|
23% |
2756
94.9 IPS |
|
|
Style Transfer (Q)
|
98% |
180806
233.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2466
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27769
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42138
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2057
2.75 KIPS |
|
|
Text Classification (Q)
|
95% |
3589
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (Q)
|
37% |
387
37.7 IPS |
