https://browser.geekbench.com/ai/v1/445343 ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
2524
Single Precision Score
1083
Half Precision Score
4952
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | maAlghamdi- |
| Upload Date | February 22 2026 01:09 PM |
| Views | 37 |
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 | Balanced |
| 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% |
2087
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (Q)
|
99% |
4592
856.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6072
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4525
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2961
3.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
13743
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
86% |
4301
345.6 IPS |
|
|
Face Detection (SP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
6021
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4998
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1566
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9588
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9647
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7113
9.14 IPS |
|
|
Style Transfer (Q)
|
98% |
15480
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1331
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3392
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
1161
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
522
696.4 IPS |
|
|
Text Classification (Q)
|
97% |
940
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1892
38.0 IPS |
