| Upload Date | June 09 2025 10:28 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise Insider Preview (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
343
63.7 IPS |
|
|
Image Classification (HP)
|
100% |
9746
1.81 KIPS |
|
|
Image Classification (Q)
|
99% |
15899
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7705
124.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16023
260.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4510
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
70062
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
226027
264.9 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (HP)
|
100% |
10120
802.7 IPS |
|
|
Object Detection (Q)
|
92% |
18654
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
22488
267.2 IPS |
|
|
Face Detection (Q)
|
97% |
54528
650.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2075
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40509
312.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
96371
769.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10889
14.0 IPS |
|
|
Style Transfer (HP)
|
98% |
56522
72.9 IPS |
|
|
Style Transfer (Q)
|
98% |
242161
312.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26100
963.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
55656
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (Q)
|
95% |
3148
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (Q)
|
67% |
4690
91.3 IPS |