ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
3152
Single Precision Score
9019
Half Precision Score
14370
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 07:43 AM |
| Views | 2 |
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% |
1610
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
6324
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
9047
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2741
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3453
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3754
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
31199
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72778
85.3 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
100% |
5573
442.0 IPS |
|
|
Object Detection (Q)
|
87% |
9541
765.7 IPS |
|
|
Face Detection (SP)
|
100% |
5389
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
15006
178.3 IPS |
|
|
Face Detection (Q)
|
100% |
29826
354.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5224
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17820
137.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34051
265.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13160
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49593
63.8 IPS |
|
|
Style Transfer (Q)
|
98% |
93611
120.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2379
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12846
474.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22994
851.6 IPS |
|
|
Text Classification (SP)
|
100% |
1857
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1934
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2028
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4011
69.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4096
70.6 IPS |
