ASUS Zenbook A16 UX3607OA
Geekbench AI Score
2140
Single Precision Score
3844
Half Precision Score
7809
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | Betancd |
| Upload Date | April 14 2026 04:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
838
155.9 IPS |
|
|
Image Classification (HP)
|
100% |
2882
536.0 IPS |
|
|
Image Classification (Q)
|
99% |
4150
774.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4461
72.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10956
178.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6723
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
12547
14.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
34081
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.1 IPS |
|
|
Object Detection (HP)
|
99% |
2530
201.3 IPS |
|
|
Object Detection (Q)
|
86% |
5290
425.1 IPS |
|
|
Face Detection (SP)
|
100% |
2155
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
7600
90.3 IPS |
|
|
Face Detection (Q)
|
97% |
13493
160.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2933
22.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5424
41.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
15579
123.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16704
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17297
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
52169
67.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2518
93.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5780
214.0 IPS |
|
|
Text Classification (SP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
512
683.7 IPS |
|
|
Text Classification (Q)
|
97% |
697
933.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (HP)
|
99% |
2429
42.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2329
46.8 IPS |
