ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
2589
Single Precision Score
1054
Half Precision Score
5109
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | janniebasson001 |
| Upload Date | January 25 2025 12:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
99% |
4147
773.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2793
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4261
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2647
3.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
14871
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1889
149.8 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (Q)
|
86% |
4355
350.0 IPS |
|
|
Face Detection (SP)
|
100% |
5355
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
1167
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
7197
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5403
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1466
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11558
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9692
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6876
8.84 IPS |
|
|
Style Transfer (Q)
|
98% |
18061
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1902
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3372
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
1134
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
566
756.0 IPS |
|
|
Text Classification (Q)
|
97% |
1369
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (Q)
|
65% |
2329
46.8 IPS |
