ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
3901
Single Precision Score
2858
Half Precision Score
9251
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | January 27 2025 05:40 AM |
| Views | 10 |
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 |
| 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% |
1981
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
857
159.4 IPS |
|
|
Image Classification (Q)
|
100% |
4155
772.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5550
90.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7200
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
6623
7.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
22152
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2062
163.6 IPS |
|
|
Object Detection (HP)
|
100% |
1173
93.0 IPS |
|
|
Object Detection (Q)
|
88% |
7225
579.2 IPS |
|
|
Face Detection (SP)
|
100% |
6565
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
3403
40.4 IPS |
|
|
Face Detection (Q)
|
100% |
11226
133.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5373
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3374
26.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
18842
146.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17459
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16592
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
56396
72.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2939
108.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2677
98.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11314
419.0 IPS |
|
|
Text Classification (SP)
|
100% |
2667
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (Q)
|
92% |
5039
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2438
42.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1829
31.5 IPS |
