| User | HippoPCBuilder |
| Upload Date | May 16 2025 07:42 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
99% |
472
88.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
423
6.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
4463
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
7081
8.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
16438
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
791
62.7 IPS |
|
|
Object Detection (HP)
|
99% |
1970
156.8 IPS |
|
|
Object Detection (Q)
|
86% |
5506
442.5 IPS |
|
|
Face Detection (SP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
4994
59.3 IPS |
|
|
Face Detection (Q)
|
97% |
8358
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1841
14.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3005
23.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
8831
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9610
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9064
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26581
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1262
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3168
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
619
825.7 IPS |
|
|
Text Classification (Q)
|
97% |
1177
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1921
33.1 IPS |
|
|
Machine Translation (HP)
|
99% |
2336
40.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3289
66.1 IPS |