ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
2701
Single Precision Score
1153
Half Precision Score
4964
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | maAlghamdi- |
| Upload Date | February 22 2026 01:16 PM |
| Views | 13 |
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% |
2211
411.2 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.3 IPS |
|
|
Image Classification (Q)
|
99% |
3177
592.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5341
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4591
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3289
3.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
14587
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1865
148.0 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
86% |
4343
349.0 IPS |
|
|
Face Detection (SP)
|
100% |
5618
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
1233
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
6385
76.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5591
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1650
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10151
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10685
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7121
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
16190
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1910
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3743
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
1198
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
578
771.1 IPS |
|
|
Text Classification (Q)
|
97% |
1034
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2085
41.9 IPS |
