ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
1435
Single Precision Score
1442
Half Precision Score
3019
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cAptive |
| Upload Date | April 01 2025 09:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel pour les Stations de travail (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405MA |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
641
119.2 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.3 IPS |
|
|
Image Classification (Q)
|
100% |
1469
273.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2220
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2255
2.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
8018
9.39 IPS |
|
|
Object Detection (SP)
|
100% |
767
60.9 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
88% |
1639
131.4 IPS |
|
|
Face Detection (SP)
|
100% |
2426
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2389
28.4 IPS |
|
|
Face Detection (Q)
|
100% |
4456
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2298
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2410
18.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
5003
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6456
8.30 IPS |
|
|
Style Transfer (HP)
|
100% |
6399
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
19637
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2785
103.1 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.0 IPS |
|
|
Text Classification (HP)
|
100% |
741
989.1 IPS |
|
|
Text Classification (Q)
|
92% |
1130
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1067
18.4 IPS |
