| User | SpaceAceTACP |
| Upload Date | August 30 2025 11:49 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83N3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 2.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
635
118.2 IPS |
|
|
Image Classification (HP)
|
100% |
2555
475.2 IPS |
|
|
Image Classification (Q)
|
99% |
5888
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6793
110.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4371
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
6720
7.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
16619
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
790
62.6 IPS |
|
|
Object Detection (HP)
|
99% |
2167
172.4 IPS |
|
|
Object Detection (Q)
|
86% |
5635
452.9 IPS |
|
|
Face Detection (SP)
|
100% |
1729
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
7056
83.8 IPS |
|
|
Face Detection (Q)
|
97% |
10789
128.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2143
16.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3443
26.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
13286
105.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10477
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10202
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29065
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1886
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1426
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
651
868.7 IPS |
|
|
Text Classification (Q)
|
97% |
1102
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2996
51.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3118
62.7 IPS |