ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
2258
Single Precision Score
8405
Half Precision Score
12837
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Bassel123 |
| Upload Date | May 13 2025 09:24 AM |
| 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% |
1055
196.2 IPS |
|
|
Image Classification (HP)
|
100% |
5290
983.8 IPS |
|
|
Image Classification (Q)
|
100% |
8285
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3414
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3671
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
29593
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
65607
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (HP)
|
100% |
5264
417.5 IPS |
|
|
Object Detection (Q)
|
87% |
8862
711.2 IPS |
|
|
Face Detection (SP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
13662
162.3 IPS |
|
|
Face Detection (Q)
|
100% |
22156
263.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3514
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17100
131.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
30856
240.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9115
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46312
59.5 IPS |
|
|
Style Transfer (Q)
|
98% |
82992
107.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12581
464.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20009
741.0 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1750
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1815
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3495
60.2 IPS |
