ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2203
Single Precision Score
11126
Half Precision Score
21853
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | November 21 2024 03:38 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% |
703
130.7 IPS |
|
|
Image Classification (HP)
|
100% |
10920
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
17381
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7497
121.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9302
151.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6687
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
70456
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
240160
281.5 IPS |
|
|
Object Detection (SP)
|
100% |
903
71.6 IPS |
|
|
Object Detection (HP)
|
100% |
11338
899.3 IPS |
|
|
Object Detection (Q)
|
82% |
15830
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
1904
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
23167
275.3 IPS |
|
|
Face Detection (Q)
|
97% |
46870
558.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2659
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41508
319.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
82009
666.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17156
22.1 IPS |
|
|
Style Transfer (HP)
|
23% |
2765
95.2 IPS |
|
|
Style Transfer (Q)
|
98% |
181966
234.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2422
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29051
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42235
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2012
2.69 KIPS |
|
|
Text Classification (Q)
|
95% |
3491
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2861
49.3 IPS |
|
|
Machine Translation (Q)
|
37% |
392
38.2 IPS |
