ASUS Zenbook A16 UX3607OA ONNX QNN - adapter ASUS Zenbook A16 UX3607OA
Geekbench AI Score
2131
Single Precision Score
33586
Half Precision Score
93139
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AArch64
Result Information
| User | TechFi |
| Upload Date | April 21 2026 09:30 AM |
| Views | 4 |
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 Pro (64-bit) |
| Model | ASUS Zenbook A16 UX3607OA |
| Motherboard | ASUSTeK COMPUTER INC. UX3607OA |
| Power Plan | Gebalanceerd |
| 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
155.8 IPS |
|
|
Image Classification (HP)
|
100% |
24061
4.47 KIPS |
|
|
Image Classification (Q)
|
99% |
45790
8.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17894
290.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
51261
833.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
132759
154.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
455119
533.5 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
24842
1.97 KIPS |
|
|
Object Detection (Q)
|
92% |
48434
3.87 KIPS |
|
|
Face Detection (SP)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
46704
554.9 IPS |
|
|
Face Detection (Q)
|
97% |
151896
1.81 KIPS |
|
|
Depth Estimation (SP)
|
100% |
2819
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
91266
703.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
262394
2.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
16364
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
98473
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
554832
715.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2534
93.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54487
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
148871
5.50 KIPS |
|
|
Text Classification (SP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6336
8.46 KIPS |
|
|
Text Classification (Q)
|
95% |
15377
20.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8878
153.4 IPS |
|
|
Machine Translation (Q)
|
67% |
18756
365.0 IPS |
