ASUS Zenbook 14 ASUSTeK COMPUTER INC. ASUS Zenbook 14 UM3406KA_UM3406KA
Geekbench AI Score
3616
Single Precision Score
1687
Half Precision Score
7361
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 22 2025 10:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UM3406KA_UM3406KA |
| Motherboard | ASUSTeK COMPUTER INC. UM3406KA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2929
544.8 IPS |
|
|
Image Classification (HP)
|
100% |
611
113.6 IPS |
|
|
Image Classification (Q)
|
99% |
7756
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3810
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4752
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3904
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
20703
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2780
220.5 IPS |
|
|
Object Detection (HP)
|
100% |
872
69.2 IPS |
|
|
Object Detection (Q)
|
86% |
6975
560.5 IPS |
|
|
Face Detection (SP)
|
100% |
5537
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
10066
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7144
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2621
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15745
125.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12220
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10156
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27712
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2481
91.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4136
153.2 IPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2037
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2959
59.5 IPS |
