ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
5078
Single Precision Score
9815
Half Precision Score
15047
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Louse |
| Upload Date | August 02 2025 01:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | Bilanciato |
| 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% |
3298
613.4 IPS |
|
|
Image Classification (HP)
|
100% |
7000
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9687
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4218
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3925
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6791
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
34062
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
74485
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
2743
217.5 IPS |
|
|
Object Detection (HP)
|
100% |
6073
481.7 IPS |
|
|
Object Detection (Q)
|
87% |
9974
800.5 IPS |
|
|
Face Detection (SP)
|
100% |
8257
98.1 IPS |
|
|
Face Detection (HP)
|
100% |
15775
187.4 IPS |
|
|
Face Detection (Q)
|
100% |
27919
331.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7243
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19210
148.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
35867
279.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19325
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54060
69.5 IPS |
|
|
Style Transfer (Q)
|
98% |
96675
124.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14247
526.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25694
951.5 IPS |
|
|
Text Classification (SP)
|
100% |
3117
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
2056
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4075
70.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4119
70.9 IPS |
