ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
2160
Single Precision Score
2117
Half Precision Score
4969
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Bassel123 |
| Upload Date | May 27 2025 08:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
838
155.9 IPS |
|
|
Image Classification (HP)
|
100% |
826
153.5 IPS |
|
|
Image Classification (Q)
|
100% |
3003
558.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3398
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2813
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3132
3.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
11737
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1227
97.4 IPS |
|
|
Object Detection (HP)
|
100% |
1201
95.3 IPS |
|
|
Object Detection (Q)
|
88% |
3372
270.3 IPS |
|
|
Face Detection (SP)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
6773
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3770
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3288
25.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
7482
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8954
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9105
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28125
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4740
175.5 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1607
27.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1842
31.7 IPS |
