ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
3998
Single Precision Score
9552
Half Precision Score
13783
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 01:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
6579
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9125
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3736
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3955
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6227
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
34161
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74456
87.2 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
100% |
5944
471.5 IPS |
|
|
Object Detection (Q)
|
87% |
9256
742.9 IPS |
|
|
Face Detection (SP)
|
100% |
7503
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
15388
182.8 IPS |
|
|
Face Detection (Q)
|
100% |
26218
311.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7370
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19081
147.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
35196
273.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19415
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53748
69.1 IPS |
|
|
Style Transfer (Q)
|
98% |
97103
125.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3238
119.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13771
508.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25134
930.8 IPS |
|
|
Text Classification (SP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2000
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3843
66.2 IPS |
