ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
3035
Single Precision Score
1258
Half Precision Score
5802
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | CCWH |
| Upload Date | July 25 2025 01:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405MA |
| Power Plan | Utilisation normale |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2458
457.2 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.7 IPS |
|
|
Image Classification (Q)
|
99% |
4795
894.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7280
118.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5472
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3164
3.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
16484
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1955
155.1 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
4728
380.0 IPS |
|
|
Face Detection (SP)
|
100% |
5932
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
1316
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
7078
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5664
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1801
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11729
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13049
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8215
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17571
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3846
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
1246
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
626
835.4 IPS |
|
|
Text Classification (Q)
|
97% |
1226
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2312
46.5 IPS |
