ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
2153
Single Precision Score
8554
Half Precision Score
13078
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Bassel123 |
| Upload Date | May 27 2025 08:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1197
222.6 IPS |
|
|
Image Classification (HP)
|
100% |
6192
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8613
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3486
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3282
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
29959
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
62374
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
100% |
5343
423.8 IPS |
|
|
Object Detection (Q)
|
87% |
8715
699.4 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
13315
158.2 IPS |
|
|
Face Detection (Q)
|
100% |
22325
265.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3035
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17039
131.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
31865
247.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8281
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45076
57.9 IPS |
|
|
Style Transfer (Q)
|
98% |
82740
106.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12460
460.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22510
833.6 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1775
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3813
65.7 IPS |
