ASUS Zenbook Duo UX8406 ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
7213
Single Precision Score
8266
Half Precision Score
5019
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 09 2025 11:36 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% |
4480
833.1 IPS |
|
|
Image Classification (HP)
|
100% |
4954
921.3 IPS |
|
|
Image Classification (Q)
|
99% |
3303
616.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3746
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8952
145.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2941
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27254
31.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
25824
30.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
21630
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
5048
400.4 IPS |
|
|
Object Detection (HP)
|
99% |
5268
419.1 IPS |
|
|
Object Detection (Q)
|
85% |
3747
301.5 IPS |
|
|
Face Detection (SP)
|
100% |
8015
95.2 IPS |
|
|
Face Detection (HP)
|
100% |
9402
111.7 IPS |
|
|
Face Detection (Q)
|
97% |
5576
66.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17167
132.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
19921
154.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
12355
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
61446
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
62728
80.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43041
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9675
357.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13625
503.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6261
231.8 IPS |
|
|
Text Classification (SP)
|
86% |
877
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
753
1.00 KIPS |
|
|
Text Classification (Q)
|
84% |
611
829.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2302
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2048
35.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1137
21.3 IPS |
