ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
7233
Single Precision Score
8372
Half Precision Score
5017
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | July 06 2025 11:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| 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 | 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% |
4352
809.3 IPS |
|
|
Image Classification (HP)
|
100% |
4806
893.8 IPS |
|
|
Image Classification (Q)
|
99% |
3347
624.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3931
63.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9686
157.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2976
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27230
31.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
25709
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
21544
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
5011
397.5 IPS |
|
|
Object Detection (HP)
|
99% |
5323
423.5 IPS |
|
|
Object Detection (Q)
|
85% |
3716
299.0 IPS |
|
|
Face Detection (SP)
|
100% |
7958
94.6 IPS |
|
|
Face Detection (HP)
|
100% |
9514
113.0 IPS |
|
|
Face Detection (Q)
|
97% |
5625
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16556
127.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
19821
153.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12298
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
61885
79.6 IPS |
|
|
Style Transfer (HP)
|
100% |
62038
79.8 IPS |
|
|
Style Transfer (Q)
|
98% |
42890
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9704
358.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13453
496.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6020
222.9 IPS |
|
|
Text Classification (SP)
|
86% |
847
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
768
1.02 KIPS |
|
|
Text Classification (Q)
|
84% |
620
841.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1145
21.5 IPS |
