ASUS Zenbook Duo ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
3886
Single Precision Score
2856
Half Precision Score
9072
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 09 2025 11:38 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2491
463.3 IPS |
|
|
Image Classification (HP)
|
100% |
1137
211.4 IPS |
|
|
Image Classification (Q)
|
100% |
5938
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3566
57.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7651
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6311
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5572
6.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
19089
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
1269
100.6 IPS |
|
|
Object Detection (Q)
|
88% |
5311
425.7 IPS |
|
|
Face Detection (SP)
|
100% |
6236
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (Q)
|
100% |
14021
166.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6069
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4113
31.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
14436
112.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15356
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12176
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
51963
67.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2554
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8724
323.1 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (Q)
|
92% |
4349
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2055
35.4 IPS |
