Upload Date | July 09 2025 08:04 AM |
Views | 4 |
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% |
576
107.2 IPS |
|
Image Classification (HP)
|
100% |
10884
2.02 KIPS |
|
Image Classification (Q)
|
99% |
17884
3.34 KIPS |
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
Image Segmentation (HP)
|
100% |
8258
133.9 IPS |
|
Image Segmentation (Q)
|
98% |
20560
334.3 IPS |
|
Pose Estimation (SP)
|
100% |
4525
5.28 IPS |
|
Pose Estimation (HP)
|
100% |
35241
41.1 IPS |
|
Pose Estimation (Q)
|
95% |
244184
286.2 IPS |
|
Object Detection (SP)
|
100% |
851
67.5 IPS |
|
Object Detection (HP)
|
100% |
11470
909.8 IPS |
|
Object Detection (Q)
|
92% |
20935
1.67 KIPS |
|
Face Detection (SP)
|
100% |
1842
21.9 IPS |
|
Face Detection (HP)
|
100% |
12758
151.6 IPS |
|
Face Detection (Q)
|
97% |
55909
666.7 IPS |
|
Depth Estimation (SP)
|
100% |
2248
17.3 IPS |
|
Depth Estimation (HP)
|
99% |
42426
326.9 IPS |
|
Depth Estimation (Q)
|
78% |
108486
865.9 IPS |
|
Style Transfer (SP)
|
100% |
11481
14.8 IPS |
|
Style Transfer (HP)
|
100% |
54602
70.2 IPS |
|
Style Transfer (Q)
|
98% |
253616
327.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
1925
71.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
28212
1.04 KIPS |
|
Image Super-Resolution (Q)
|
99% |
53781
1.99 KIPS |
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
Text Classification (HP)
|
100% |
680
907.0 IPS |
|
Text Classification (Q)
|
95% |
3879
5.20 KIPS |
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
Machine Translation (HP)
|
100% |
4609
79.4 IPS |
|
Machine Translation (Q)
|
67% |
8964
174.5 IPS |