ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
2542
Single Precision Score
8984
Half Precision Score
14023
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 03:48 PM |
| Views | 5 |
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% |
1287
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
6257
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
9014
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2526
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3126
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4581
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
30497
35.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
64138
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (HP)
|
100% |
5443
431.7 IPS |
|
|
Object Detection (Q)
|
88% |
9208
738.2 IPS |
|
|
Face Detection (SP)
|
100% |
4002
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
15172
180.3 IPS |
|
|
Face Detection (Q)
|
100% |
29312
348.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3782
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17251
132.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
32492
252.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9324
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48920
62.9 IPS |
|
|
Style Transfer (Q)
|
98% |
87951
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14276
527.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27479
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1620
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1838
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3985
68.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4177
72.0 IPS |
