User | kshaikh |
Upload Date | July 15 2025 11:42 PM |
Views | 2 |
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 (64-bit) |
Model | LENOVO 83GH |
Motherboard | LENOVO LNVNB161216 |
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% |
674
125.4 IPS |
|
Image Classification (HP)
|
100% |
10579
1.97 KIPS |
|
Image Classification (Q)
|
99% |
17235
3.21 KIPS |
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
Image Segmentation (HP)
|
100% |
8194
132.8 IPS |
|
Image Segmentation (Q)
|
98% |
20715
336.9 IPS |
|
Pose Estimation (SP)
|
100% |
4565
5.33 IPS |
|
Pose Estimation (HP)
|
100% |
70996
82.8 IPS |
|
Pose Estimation (Q)
|
95% |
243715
285.7 IPS |
|
Object Detection (SP)
|
100% |
817
64.8 IPS |
|
Object Detection (HP)
|
100% |
11510
913.0 IPS |
|
Object Detection (Q)
|
92% |
20739
1.66 KIPS |
|
Face Detection (SP)
|
100% |
1792
21.3 IPS |
|
Face Detection (HP)
|
100% |
24512
291.3 IPS |
|
Face Detection (Q)
|
97% |
60058
716.2 IPS |
|
Depth Estimation (SP)
|
100% |
2260
17.4 IPS |
|
Depth Estimation (HP)
|
99% |
41925
323.0 IPS |
|
Depth Estimation (Q)
|
78% |
107190
855.5 IPS |
|
Style Transfer (SP)
|
100% |
10853
14.0 IPS |
|
Style Transfer (HP)
|
100% |
54663
70.3 IPS |
|
Style Transfer (Q)
|
98% |
255673
329.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
1870
69.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
29415
1.09 KIPS |
|
Image Super-Resolution (Q)
|
99% |
62542
2.31 KIPS |
|
Text Classification (SP)
|
100% |
1538
2.05 KIPS |
|
Text Classification (HP)
|
100% |
2539
3.39 KIPS |
|
Text Classification (Q)
|
95% |
3664
4.91 KIPS |
|
Machine Translation (SP)
|
100% |
2201
37.9 IPS |
|
Machine Translation (HP)
|
100% |
4600
79.2 IPS |
|
Machine Translation (Q)
|
67% |
8811
171.5 IPS |