ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405CA_UX3405CA
Geekbench AI Score
5011
Single Precision Score
10098
Half Precision Score
15504
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 08 2025 08:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405CA_UX3405CA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3652
679.2 IPS |
|
|
Image Classification (HP)
|
100% |
6890
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9597
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4086
66.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2793
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3467
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7370
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
34753
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72404
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
2944
233.5 IPS |
|
|
Object Detection (HP)
|
100% |
6023
477.7 IPS |
|
|
Object Detection (Q)
|
88% |
10187
816.7 IPS |
|
|
Face Detection (SP)
|
100% |
8895
105.7 IPS |
|
|
Face Detection (HP)
|
100% |
17598
209.1 IPS |
|
|
Face Detection (Q)
|
100% |
33765
401.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7696
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19100
147.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34739
270.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19717
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
56799
73.0 IPS |
|
|
Style Transfer (Q)
|
98% |
100377
129.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3969
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15924
588.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30395
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2010
2.68 KIPS |
|
|
Text Classification (Q)
|
92% |
2026
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4481
77.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4511
77.7 IPS |
