ASUS Zenbook A16 UX3607OA
Geekbench AI Score
2095
Single Precision Score
32105
Half Precision Score
86356
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | Betancd |
| Upload Date | April 14 2026 04:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X2 Elite Extreme - X2E94100 - Qualcomm Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS Zenbook A16 UX3607OA |
| Motherboard | ASUSTeK COMPUTER INC. UX3607OA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X2 Elite Extreme - X2E94100 - Qualcomm Oryon(TM) CPU |
| Topology | 1 Processor, 18 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 2 Revision 201 |
| Base Frequency | 4.45 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
845
157.1 IPS |
|
|
Image Classification (HP)
|
100% |
22679
4.22 KIPS |
|
|
Image Classification (Q)
|
99% |
42425
7.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17298
280.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
49000
796.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6662
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
131443
153.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
448810
526.1 IPS |
|
|
Object Detection (SP)
|
100% |
1002
79.5 IPS |
|
|
Object Detection (HP)
|
100% |
24009
1.90 KIPS |
|
|
Object Detection (Q)
|
92% |
46266
3.69 KIPS |
|
|
Face Detection (SP)
|
100% |
2121
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
44679
530.9 IPS |
|
|
Face Detection (Q)
|
97% |
146103
1.74 KIPS |
|
|
Depth Estimation (SP)
|
100% |
2874
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
90795
699.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
249170
1.99 KIPS |
|
|
Style Transfer (SP)
|
100% |
16785
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
97214
125.0 IPS |
|
|
Style Transfer (Q)
|
98% |
530583
684.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2434
89.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52586
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
136393
5.04 KIPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
95% |
11524
15.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8334
144.0 IPS |
|
|
Machine Translation (Q)
|
67% |
17600
342.5 IPS |
