ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
4574
Single Precision Score
1861
Half Precision Score
8158
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | July 06 2025 11:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3511
653.0 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.2 IPS |
|
|
Image Classification (Q)
|
99% |
7209
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10345
168.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7906
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
5530
6.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
25500
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3338
264.7 IPS |
|
|
Object Detection (HP)
|
100% |
866
68.7 IPS |
|
|
Object Detection (Q)
|
86% |
7829
629.2 IPS |
|
|
Face Detection (SP)
|
100% |
9965
118.4 IPS |
|
|
Face Detection (HP)
|
100% |
1976
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
10018
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9688
74.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2688
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16308
130.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18152
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13190
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25361
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3277
121.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2516
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4498
166.6 IPS |
|
|
Text Classification (SP)
|
100% |
1688
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1391
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3383
68.0 IPS |
