ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
4629
Single Precision Score
4642
Half Precision Score
11092
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Louse |
| Upload Date | August 02 2025 01:21 AM |
| Views | 5 |
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 | 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% |
3347
622.4 IPS |
|
|
Image Classification (HP)
|
100% |
3841
714.2 IPS |
|
|
Image Classification (Q)
|
100% |
8698
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4176
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8610
139.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7213
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
5564
6.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
21881
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
2822
223.9 IPS |
|
|
Object Detection (Q)
|
88% |
7222
579.0 IPS |
|
|
Face Detection (SP)
|
100% |
7235
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
8318
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
15464
183.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6796
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7012
54.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
18655
145.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17142
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15930
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
59301
76.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3045
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3377
124.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11240
416.3 IPS |
|
|
Text Classification (SP)
|
100% |
2645
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
4542
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2841
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4295
74.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2729
47.0 IPS |
