| User | abstractius |
| Upload Date | September 29 2025 06:12 PM |
| Views | 7 |
| 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 83HL |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (HP)
|
100% |
10594
1.97 KIPS |
|
|
Image Classification (Q)
|
99% |
17087
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8162
132.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20156
327.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4144
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
71465
83.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
243539
285.5 IPS |
|
|
Object Detection (SP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (HP)
|
100% |
11381
902.8 IPS |
|
|
Object Detection (Q)
|
92% |
20589
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
24458
290.6 IPS |
|
|
Face Detection (Q)
|
97% |
60163
717.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2031
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42390
326.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
107525
858.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10021
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54823
70.5 IPS |
|
|
Style Transfer (Q)
|
98% |
252244
325.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29544
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62743
2.32 KIPS |
|
|
Text Classification (SP)
|
100% |
1466
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (Q)
|
95% |
3619
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4543
78.3 IPS |
|
|
Machine Translation (Q)
|
67% |
7713
150.1 IPS |