ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
2753
Single Precision Score
2737
Half Precision Score
6340
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Bassel123 |
| Upload Date | May 13 2025 09:42 AM |
| 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% |
1487
276.6 IPS |
|
|
Image Classification (HP)
|
100% |
1476
274.5 IPS |
|
|
Image Classification (Q)
|
100% |
4883
908.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2768
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4558
73.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4130
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3727
4.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
13867
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (Q)
|
88% |
3712
297.6 IPS |
|
|
Face Detection (SP)
|
100% |
4554
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
4207
50.0 IPS |
|
|
Face Detection (Q)
|
100% |
8115
96.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3564
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3897
30.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
9530
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10453
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11330
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37064
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2104
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1923
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5928
219.5 IPS |
|
|
Text Classification (SP)
|
100% |
1457
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
2907
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1826
31.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1855
32.0 IPS |
