ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WU_FA401WU
Geekbench AI Score
15765
Single Precision Score
28332
Half Precision Score
12285
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aloncy |
| Upload Date | May 28 2025 10:01 PM |
| Views | 8 |
| Notes | GHelper BALANCED STANDARD auto on plug - RTX 4050 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WU_FA401WU |
| Motherboard | ASUSTeK COMPUTER INC. FA401WU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6575
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
12386
2.31 KIPS |
|
|
Image Classification (Q)
|
99% |
6074
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11965
194.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17479
283.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10238
166.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
66170
77.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
224175
261.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57764
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
7979
632.9 IPS |
|
|
Object Detection (HP)
|
100% |
14136
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
6937
559.5 IPS |
|
|
Face Detection (SP)
|
100% |
16925
201.1 IPS |
|
|
Face Detection (HP)
|
100% |
28426
337.8 IPS |
|
|
Face Detection (Q)
|
97% |
14669
174.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31124
239.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
69035
531.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
28451
227.6 IPS |
|
|
Style Transfer (SP)
|
100% |
115965
149.1 IPS |
|
|
Style Transfer (HP)
|
100% |
301941
388.1 IPS |
|
|
Style Transfer (Q)
|
98% |
98273
126.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26081
963.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44117
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19004
703.7 IPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2058
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4285
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4749
81.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1959
36.8 IPS |
