ASUS Zenbook SORA 16 UX3607OA
Geekbench AI Score
2109
Single Precision Score
3932
Half Precision Score
7995
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| Upload Date | April 10 2026 09:49 AM |
| Views | 8 |
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 SORA 16 UX3607OA |
| Motherboard | ASUSTeK COMPUTER INC. UX3607OA |
| 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% |
825
153.5 IPS |
|
|
Image Classification (HP)
|
100% |
2784
517.7 IPS |
|
|
Image Classification (Q)
|
99% |
4032
752.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4384
71.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10709
174.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6515
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13076
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
35749
41.9 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (HP)
|
99% |
2728
217.0 IPS |
|
|
Object Detection (Q)
|
86% |
5360
430.8 IPS |
|
|
Face Detection (SP)
|
100% |
2066
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
7785
92.5 IPS |
|
|
Face Detection (Q)
|
97% |
13605
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2700
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5206
40.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
16057
127.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16127
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17183
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
55672
71.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2522
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5481
202.9 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
565
753.5 IPS |
|
|
Text Classification (Q)
|
97% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1579
27.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2611
45.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2480
49.8 IPS |
