ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
2445
Single Precision Score
9059
Half Precision Score
14024
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 03:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (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% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
6316
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8712
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3098
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
30091
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
64577
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
100% |
5466
433.6 IPS |
|
|
Object Detection (Q)
|
88% |
9213
738.6 IPS |
|
|
Face Detection (SP)
|
100% |
4018
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
15665
186.1 IPS |
|
|
Face Detection (Q)
|
100% |
29310
348.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3766
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17815
137.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
32555
253.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9313
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48703
62.6 IPS |
|
|
Style Transfer (Q)
|
98% |
88469
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1572
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14242
525.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27578
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1622
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1848
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1881
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4097
70.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4187
72.1 IPS |
