ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405MA_UX3405MA
Geekbench AI Score
1882
Single Precision Score
895
Half Precision Score
3550
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ThePolarOne |
| Upload Date | May 19 2025 07:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.9 IPS |
|
|
Image Classification (Q)
|
99% |
2708
505.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
842
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1808
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3222
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2552
2.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
11889
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (Q)
|
86% |
2900
233.1 IPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
4754
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4028
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1364
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6967
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7976
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6232
8.01 IPS |
|
|
Style Transfer (Q)
|
98% |
13174
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1166
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2393
88.6 IPS |
|
|
Text Classification (SP)
|
100% |
605
808.1 IPS |
|
|
Text Classification (HP)
|
100% |
466
622.4 IPS |
|
|
Text Classification (Q)
|
97% |
1091
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
65% |
1655
33.3 IPS |
