| User | JBAlharbi |
| Upload Date | October 19 2025 04:05 PM |
| Views | 41 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| 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% |
582
108.3 IPS |
|
|
Image Classification (HP)
|
100% |
2647
492.2 IPS |
|
|
Image Classification (Q)
|
99% |
4086
762.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
3237
52.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7858
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6169
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6440
7.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
22430
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (HP)
|
99% |
2238
178.0 IPS |
|
|
Object Detection (Q)
|
86% |
4903
394.0 IPS |
|
|
Face Detection (SP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
6451
76.7 IPS |
|
|
Face Detection (Q)
|
97% |
9697
115.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1680
12.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3688
28.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
13226
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15581
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10589
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31232
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1093
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2437
90.2 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.6 IPS |
|
|
Text Classification (Q)
|
97% |
724
970.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1817
31.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2156
43.3 IPS |