| User | 5000hx |
| Upload Date | March 31 2026 09:09 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83ED |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (HP)
|
100% |
3975
739.2 IPS |
|
|
Image Classification (Q)
|
99% |
4658
868.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7570
122.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18030
293.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4323
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
68155
79.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205306
240.6 IPS |
|
|
Object Detection (SP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (HP)
|
100% |
6603
523.7 IPS |
|
|
Object Detection (Q)
|
92% |
9046
722.1 IPS |
|
|
Face Detection (SP)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
19761
234.8 IPS |
|
|
Face Detection (Q)
|
97% |
42925
511.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2329
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34232
263.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
64276
513.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13113
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51779
66.6 IPS |
|
|
Style Transfer (Q)
|
98% |
207435
267.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15510
572.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21678
800.5 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
636
848.9 IPS |
|
|
Text Classification (Q)
|
95% |
714
957.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (Q)
|
67% |
4410
85.8 IPS |