ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
8574
Single Precision Score
13010
Half Precision Score
20261
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | CCWH |
| Upload Date | July 25 2025 01:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5915
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
8543
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
10458
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5414
87.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13218
214.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19407
314.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23505
27.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
21143
24.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
75257
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
5647
447.9 IPS |
|
|
Object Detection (HP)
|
100% |
9126
723.9 IPS |
|
|
Object Detection (Q)
|
88% |
13416
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
10993
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
21694
257.8 IPS |
|
|
Face Detection (Q)
|
100% |
35206
418.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20220
155.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
32694
252.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
37827
294.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56699
72.9 IPS |
|
|
Style Transfer (HP)
|
100% |
70797
91.0 IPS |
|
|
Style Transfer (Q)
|
98% |
184584
238.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9324
344.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14299
528.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22012
815.2 IPS |
|
|
Text Classification (SP)
|
71% |
1549
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
2327
3.37 KIPS |
|
|
Text Classification (Q)
|
92% |
2567
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3818
66.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4097
70.8 IPS |
