ASUS Zenbook A16 UX3607OA ONNX CPU - adapter ASUS Zenbook A16 UX3607OA
Geekbench AI Score
2109
Single Precision Score
3953
Half Precision Score
8118
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AArch64
Result Information
| User | TechFi |
| Upload Date | April 21 2026 09:23 AM |
| 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 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% |
793
147.4 IPS |
|
|
Image Classification (HP)
|
100% |
2983
554.7 IPS |
|
|
Image Classification (Q)
|
99% |
4050
755.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4472
72.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11048
179.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6605
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
13304
15.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
36467
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (HP)
|
99% |
2767
220.1 IPS |
|
|
Object Detection (Q)
|
86% |
5280
424.3 IPS |
|
|
Face Detection (SP)
|
100% |
2142
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
7646
90.9 IPS |
|
|
Face Detection (Q)
|
97% |
14123
168.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2848
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5495
42.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
16161
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16164
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17246
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
58000
74.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5769
213.6 IPS |
|
|
Text Classification (SP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
513
684.2 IPS |
|
|
Text Classification (Q)
|
97% |
748
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
99% |
2586
44.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2526
50.7 IPS |
