ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
2189
Single Precision Score
913
Half Precision Score
4154
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | aaalomayri |
| Upload Date | April 12 2026 05:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405MA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
99% |
3603
672.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5285
85.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3677
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2495
2.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
10932
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
86% |
3089
248.3 IPS |
|
|
Face Detection (SP)
|
100% |
4695
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
5177
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4334
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1198
9.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
8713
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8196
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5211
6.70 IPS |
|
|
Style Transfer (Q)
|
98% |
13706
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2926
108.3 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
483
644.9 IPS |
|
|
Text Classification (Q)
|
97% |
845
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
65% |
1558
31.3 IPS |
