ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
4556
Single Precision Score
1912
Half Precision Score
8152
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Louse |
| Upload Date | August 02 2025 01:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
3455
642.6 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.6 IPS |
|
|
Image Classification (Q)
|
99% |
7107
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10587
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7771
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5601
6.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
27610
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
3310
262.6 IPS |
|
|
Object Detection (HP)
|
100% |
854
67.7 IPS |
|
|
Object Detection (Q)
|
86% |
7075
568.6 IPS |
|
|
Face Detection (SP)
|
100% |
9761
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
10287
122.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9634
74.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2730
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16694
133.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18189
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13239
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24011
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3176
117.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4411
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
1707
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1422
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1124
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3413
68.6 IPS |
