ASUS Zenbook A14 ASUSTeK COMPUTER INC. ASUS Zenbook A14 UX3407QA_UX3407QA
Geekbench AI Score
1599
Single Precision Score
15171
Half Precision Score
25953
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | rennsport |
| Upload Date | March 11 2025 11:11 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook A14 UX3407QA_UX3407QA |
| Motherboard | ASUSTeK COMPUTER INC. UX3407QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 2.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
619
115.1 IPS |
|
|
Image Classification (HP)
|
100% |
10218
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
15886
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7479
121.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9539
155.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4187
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
68924
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
234175
274.5 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
10301
817.0 IPS |
|
|
Object Detection (Q)
|
92% |
12270
979.4 IPS |
|
|
Face Detection (SP)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
21290
253.0 IPS |
|
|
Face Detection (Q)
|
97% |
40589
484.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1729
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
41673
321.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
101252
812.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9100
11.7 IPS |
|
|
Style Transfer (HP)
|
98% |
57283
73.9 IPS |
|
|
Style Transfer (Q)
|
98% |
210092
270.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29391
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41342
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (Q)
|
95% |
3488
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (Q)
|
67% |
2558
49.8 IPS |
