ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
401
Single Precision Score
7699
Half Precision Score
14047
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 12 2024 03:37 AM |
| Views | 22 |
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 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
151
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
4904
912.1 IPS |
|
|
Image Classification (Q)
|
99% |
7640
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
6926
112.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8206
133.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1417
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
64516
75.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
189521
222.1 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
7318
580.5 IPS |
|
|
Object Detection (Q)
|
82% |
7835
634.3 IPS |
|
|
Face Detection (SP)
|
100% |
456
5.41 IPS |
|
|
Face Detection (HP)
|
100% |
15201
180.6 IPS |
|
|
Face Detection (Q)
|
97% |
28040
334.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
441
3.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
33051
254.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
55258
449.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3647
4.69 IPS |
|
|
Style Transfer (HP)
|
23% |
2521
86.8 IPS |
|
|
Style Transfer (Q)
|
98% |
149631
193.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19673
726.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32168
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
303
404.9 IPS |
|
|
Text Classification (HP)
|
100% |
1063
1.42 KIPS |
|
|
Text Classification (Q)
|
95% |
1834
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (Q)
|
37% |
235
22.9 IPS |
