ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405CA_UX3405CA
Geekbench AI Score
4257
Single Precision Score
1715
Half Precision Score
7278
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 12:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405CA_UX3405CA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405CA |
| 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% |
3180
591.4 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.9 IPS |
|
|
Image Classification (Q)
|
99% |
6823
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1070
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3270
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7133
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5025
5.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
23860
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
3009
238.7 IPS |
|
|
Object Detection (HP)
|
100% |
787
62.5 IPS |
|
|
Object Detection (Q)
|
86% |
7351
590.8 IPS |
|
|
Face Detection (SP)
|
100% |
8719
103.6 IPS |
|
|
Face Detection (HP)
|
100% |
1964
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
9797
116.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8971
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2474
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
15988
127.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16717
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11635
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24441
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3114
115.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4741
175.6 IPS |
|
|
Text Classification (SP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1582
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3716
74.7 IPS |
