| User | lexatang |
| Upload Date | October 23 2024 07:44 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Insider Preview (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| 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% |
678
126.1 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.1 IPS |
|
|
Image Classification (Q)
|
100% |
256
47.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
323
5.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
6506
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1010
1.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
667
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (HP)
|
99% |
183
14.6 IPS |
|
|
Object Detection (Q)
|
89% |
214
17.1 IPS |
|
|
Face Detection (SP)
|
100% |
1797
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.27 IPS |
|
|
Face Detection (Q)
|
97% |
602
7.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
2558
19.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
657
5.08 IPS |
|
|
Depth Estimation (Q)
|
76% |
668
5.37 IPS |
|
|
Style Transfer (SP)
|
100% |
16370
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
2338
3.01 IPS |
|
|
Style Transfer (Q)
|
98% |
1578
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2435
89.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
378
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
279
372.5 IPS |
|
|
Text Classification (Q)
|
97% |
301
402.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (HP)
|
99% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
59% |
359
8.29 IPS |