| Upload Date | October 19 2025 11:35 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 | 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% |
211
39.3 IPS |
|
|
Image Classification (HP)
|
100% |
7719
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
12739
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
5748
93.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17263
280.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1795
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
43707
51.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
138356
162.2 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
8033
637.2 IPS |
|
|
Object Detection (Q)
|
92% |
5670
452.6 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (HP)
|
100% |
18660
221.7 IPS |
|
|
Face Detection (Q)
|
97% |
41190
491.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
940
7.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
38069
293.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
94825
756.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4335
5.57 IPS |
|
|
Style Transfer (HP)
|
100% |
51519
66.2 IPS |
|
|
Style Transfer (Q)
|
98% |
224524
289.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21377
789.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40799
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
516
688.5 IPS |
|
|
Text Classification (HP)
|
100% |
726
969.3 IPS |
|
|
Text Classification (Q)
|
95% |
2458
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (Q)
|
67% |
2646
51.5 IPS |