ASUS Zenbook Duo UX8406 ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
2603
Single Precision Score
1228
Half Precision Score
4530
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 09 2025 11:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
1956
363.8 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (Q)
|
99% |
6027
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3106
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6330
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4483
5.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
11551
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (Q)
|
86% |
4014
322.6 IPS |
|
|
Face Detection (SP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
5166
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3586
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2289
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9838
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9256
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8167
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
13438
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1754
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2364
87.5 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
471
629.1 IPS |
|
|
Text Classification (Q)
|
97% |
1197
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2170
43.6 IPS |
