ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
3024
Single Precision Score
2981
Half Precision Score
6983
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 04:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1723
320.5 IPS |
|
|
Image Classification (HP)
|
100% |
1760
327.2 IPS |
|
|
Image Classification (Q)
|
100% |
4795
891.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4904
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5337
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4000
4.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
13809
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (Q)
|
88% |
3775
302.6 IPS |
|
|
Face Detection (SP)
|
100% |
4797
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
9606
114.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4498
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4677
36.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11548
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11488
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11549
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39496
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7616
282.0 IPS |
|
|
Text Classification (SP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1788
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
3351
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1983
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2012
34.7 IPS |
