ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
3944
Single Precision Score
4887
Half Precision Score
3234
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 01:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| 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% |
1837
341.7 IPS |
|
|
Image Classification (HP)
|
100% |
2348
436.6 IPS |
|
|
Image Classification (Q)
|
99% |
1497
279.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1854
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3035
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27355
31.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
25150
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21181
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
99% |
2338
186.0 IPS |
|
|
Object Detection (Q)
|
85% |
1723
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
4982
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (Q)
|
97% |
3457
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14203
109.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10883
84.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12639
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31250
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
59570
76.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39019
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3893
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12173
449.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2697
99.9 IPS |
|
|
Text Classification (SP)
|
86% |
403
545.2 IPS |
|
|
Text Classification (HP)
|
99% |
335
447.1 IPS |
|
|
Text Classification (Q)
|
84% |
294
399.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
70% |
559
10.5 IPS |
