ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WU_FA401WU
Geekbench AI Score
15853
Single Precision Score
28776
Half Precision Score
12355
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aloncy |
| Upload Date | May 28 2025 10:32 PM |
| Views | 8 |
| Notes | GHelper TURBO 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% |
6714
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
12653
2.36 KIPS |
|
|
Image Classification (Q)
|
99% |
6138
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11744
190.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17877
289.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10509
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
69316
80.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
230817
269.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
61190
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
8303
658.6 IPS |
|
|
Object Detection (HP)
|
100% |
14890
1.18 KIPS |
|
|
Object Detection (Q)
|
84% |
7397
596.6 IPS |
|
|
Face Detection (SP)
|
100% |
16392
194.8 IPS |
|
|
Face Detection (HP)
|
100% |
29764
353.7 IPS |
|
|
Face Detection (Q)
|
97% |
14478
172.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32101
247.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71690
552.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
26323
210.6 IPS |
|
|
Style Transfer (SP)
|
100% |
118634
152.5 IPS |
|
|
Style Transfer (HP)
|
100% |
300291
386.0 IPS |
|
|
Style Transfer (Q)
|
98% |
104290
134.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26044
961.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44360
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18903
699.9 IPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2086
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3995
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4424
76.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1812
34.0 IPS |
