ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
1729
Single Precision Score
15400
Half Precision Score
33026
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | summer0606 |
| Upload Date | April 27 2025 04:44 PM |
| Views | 4 |
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% |
712
132.5 IPS |
|
|
Image Classification (HP)
|
100% |
10121
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
15925
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8064
130.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17032
277.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6071
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
70351
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
239728
281.0 IPS |
|
|
Object Detection (SP)
|
100% |
805
63.8 IPS |
|
|
Object Detection (HP)
|
100% |
10579
839.1 IPS |
|
|
Object Detection (Q)
|
92% |
18719
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
23522
279.5 IPS |
|
|
Face Detection (Q)
|
97% |
55948
667.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2350
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41013
316.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
99670
795.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10782
13.9 IPS |
|
|
Style Transfer (HP)
|
98% |
57310
73.9 IPS |
|
|
Style Transfer (Q)
|
98% |
255327
329.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27764
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54265
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
1210
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
95% |
2994
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3843
66.2 IPS |
|
|
Machine Translation (Q)
|
67% |
5483
106.7 IPS |
