ASUS Zenbook Duo UX8406 ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
10419
Single Precision Score
20786
Half Precision Score
27510
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 09 2025 11:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| 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% |
6581
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
9731
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
14300
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8322
134.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15192
246.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20168
326.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
26236
30.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
105040
122.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
192384
225.2 IPS |
|
|
Object Detection (SP)
|
100% |
6421
509.3 IPS |
|
|
Object Detection (HP)
|
100% |
10603
841.0 IPS |
|
|
Object Detection (Q)
|
88% |
14855
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
12710
151.0 IPS |
|
|
Face Detection (HP)
|
100% |
23489
279.1 IPS |
|
|
Face Detection (Q)
|
100% |
36141
429.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22624
174.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
44461
342.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
64420
500.8 IPS |
|
|
Style Transfer (SP)
|
100% |
63224
81.3 IPS |
|
|
Style Transfer (HP)
|
100% |
172704
222.0 IPS |
|
|
Style Transfer (Q)
|
98% |
267701
345.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10478
386.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30486
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37002
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
92% |
3251
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4013
69.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4018
69.2 IPS |
