Upload Date | July 09 2025 08:01 AM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | QNN |
Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA |
Motherboard | ASUSTeK COMPUTER INC. S5507QA |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
Topology | 1 Processor, 8 Cores |
Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
Base Frequency | 3.24 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
373
69.4 IPS |
|
Image Classification (HP)
|
100% |
11079
2.06 KIPS |
|
Image Classification (Q)
|
99% |
18247
3.40 KIPS |
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
Image Segmentation (HP)
|
100% |
8167
132.4 IPS |
|
Image Segmentation (Q)
|
98% |
20310
330.3 IPS |
|
Pose Estimation (SP)
|
100% |
4675
5.45 IPS |
|
Pose Estimation (HP)
|
100% |
71067
82.9 IPS |
|
Pose Estimation (Q)
|
95% |
245663
288.0 IPS |
|
Object Detection (SP)
|
100% |
848
67.3 IPS |
|
Object Detection (HP)
|
100% |
11024
874.5 IPS |
|
Object Detection (Q)
|
92% |
21246
1.70 KIPS |
|
Face Detection (SP)
|
100% |
1831
21.8 IPS |
|
Face Detection (HP)
|
100% |
24584
292.1 IPS |
|
Face Detection (Q)
|
97% |
61988
739.2 IPS |
|
Depth Estimation (SP)
|
100% |
2274
17.5 IPS |
|
Depth Estimation (HP)
|
99% |
42725
329.2 IPS |
|
Depth Estimation (Q)
|
78% |
108393
865.1 IPS |
|
Style Transfer (SP)
|
100% |
10099
13.0 IPS |
|
Style Transfer (HP)
|
100% |
28622
36.8 IPS |
|
Style Transfer (Q)
|
98% |
206877
266.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
1156
42.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
9652
356.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
61257
2.26 KIPS |
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
Text Classification (HP)
|
100% |
958
1.28 KIPS |
|
Text Classification (Q)
|
95% |
3904
5.24 KIPS |
|
Machine Translation (SP)
|
100% |
2005
34.5 IPS |
|
Machine Translation (HP)
|
100% |
4545
78.3 IPS |
|
Machine Translation (Q)
|
67% |
8087
157.4 IPS |