ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
5257
Single Precision Score
5277
Half Precision Score
12192
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | July 06 2025 11:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | 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% |
3356
624.2 IPS |
|
|
Image Classification (HP)
|
100% |
3819
710.3 IPS |
|
|
Image Classification (Q)
|
100% |
8819
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4128
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8602
139.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7250
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6816
7.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
25399
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
2878
228.3 IPS |
|
|
Object Detection (HP)
|
100% |
3449
273.5 IPS |
|
|
Object Detection (Q)
|
88% |
8923
715.3 IPS |
|
|
Face Detection (SP)
|
100% |
8879
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
10130
120.4 IPS |
|
|
Face Detection (Q)
|
100% |
17632
209.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7741
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8036
61.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
21270
165.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20542
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19060
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
69255
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4324
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13059
483.6 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (Q)
|
92% |
4881
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4944
85.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2551
43.9 IPS |
