| Upload Date | November 24 2025 08:43 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
658
122.3 IPS |
|
|
Image Classification (HP)
|
100% |
13939
2.59 KIPS |
|
|
Image Classification (Q)
|
99% |
29775
5.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8513
138.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25017
406.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6692
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
73173
85.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
260056
304.8 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
100% |
13182
1.05 KIPS |
|
|
Object Detection (Q)
|
92% |
27350
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
1738
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
26897
319.6 IPS |
|
|
Face Detection (Q)
|
97% |
80290
957.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2204
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45390
349.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
121072
966.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16872
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54611
70.2 IPS |
|
|
Style Transfer (Q)
|
98% |
267632
345.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33133
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78508
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4256
5.68 KIPS |
|
|
Text Classification (Q)
|
95% |
11717
15.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5600
96.5 IPS |
|
|
Machine Translation (Q)
|
67% |
12411
241.5 IPS |