ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
2525
Single Precision Score
2541
Half Precision Score
6483
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1555
289.2 IPS |
|
|
Image Classification (HP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (Q)
|
100% |
4499
836.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4525
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2582
3.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
10581
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (Q)
|
88% |
3620
290.2 IPS |
|
|
Face Detection (SP)
|
100% |
4677
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
4974
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
9507
113.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3090
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3626
27.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11163
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9688
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8691
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
39410
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1786
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7225
267.6 IPS |
|
|
Text Classification (SP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
3211
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1801
31.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1736
29.9 IPS |
