| User | TechFi |
| Upload Date | September 14 2025 02:52 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook A14 UX3407RA_UX3407RA |
| Motherboard | ASUSTeK COMPUTER INC. UX3407RA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
657
122.3 IPS |
|
|
Image Classification (HP)
|
100% |
10631
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
18766
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8125
131.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22571
367.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6904
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
71979
84.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
249539
292.5 IPS |
|
|
Object Detection (SP)
|
100% |
904
71.7 IPS |
|
|
Object Detection (HP)
|
100% |
11309
897.0 IPS |
|
|
Object Detection (Q)
|
92% |
21675
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
20900
248.3 IPS |
|
|
Face Detection (Q)
|
97% |
53776
641.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1227
9.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
39438
303.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
94562
754.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4065
5.23 IPS |
|
|
Style Transfer (HP)
|
100% |
52956
68.1 IPS |
|
|
Style Transfer (Q)
|
98% |
248744
320.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28253
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60525
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
560
748.0 IPS |
|
|
Text Classification (HP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (Q)
|
95% |
3694
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (Q)
|
67% |
8100
157.6 IPS |