ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
6423
Single Precision Score
6179
Half Precision Score
4489
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | January 27 2025 05:54 AM |
| Views | 17 |
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 |
| 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% |
3848
715.5 IPS |
|
|
Image Classification (HP)
|
100% |
3484
647.9 IPS |
|
|
Image Classification (Q)
|
99% |
2526
471.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3671
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7467
121.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2674
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26442
30.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
44915
52.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21290
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
4322
342.9 IPS |
|
|
Object Detection (HP)
|
99% |
5232
416.2 IPS |
|
|
Object Detection (Q)
|
85% |
3262
262.5 IPS |
|
|
Face Detection (SP)
|
100% |
7297
86.7 IPS |
|
|
Face Detection (HP)
|
87% |
8713
104.8 IPS |
|
|
Face Detection (Q)
|
97% |
5283
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16224
125.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23217
179.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
11973
95.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59842
76.9 IPS |
|
|
Style Transfer (HP)
|
27% |
5181
106.3 IPS |
|
|
Style Transfer (Q)
|
98% |
42298
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9305
343.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12137
448.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5945
220.1 IPS |
|
|
Text Classification (SP)
|
86% |
596
806.4 IPS |
|
|
Text Classification (HP)
|
99% |
689
919.6 IPS |
|
|
Text Classification (Q)
|
84% |
467
633.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (Q)
|
70% |
955
17.9 IPS |
