ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
7214
Single Precision Score
8315
Half Precision Score
5066
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Louse |
| Upload Date | August 02 2025 01:26 AM |
| Views | 5 |
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 | Bilanciato |
| 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% |
4203
781.7 IPS |
|
|
Image Classification (HP)
|
100% |
4688
871.9 IPS |
|
|
Image Classification (Q)
|
99% |
3298
615.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3967
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9628
156.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2984
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27209
31.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
25996
30.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21729
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
4964
393.7 IPS |
|
|
Object Detection (HP)
|
99% |
5033
400.4 IPS |
|
|
Object Detection (Q)
|
85% |
3743
301.2 IPS |
|
|
Face Detection (SP)
|
100% |
8121
96.5 IPS |
|
|
Face Detection (HP)
|
100% |
9525
113.2 IPS |
|
|
Face Detection (Q)
|
97% |
5646
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16679
128.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
19588
151.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12414
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
60544
77.8 IPS |
|
|
Style Transfer (HP)
|
100% |
63678
81.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43287
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9546
352.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13522
499.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6343
234.9 IPS |
|
|
Text Classification (SP)
|
86% |
871
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
750
1.00 KIPS |
|
|
Text Classification (Q)
|
84% |
620
842.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1167
21.9 IPS |
