ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WU_FA401WU
Geekbench AI Score
6023
Single Precision Score
6071
Half Precision Score
16091
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aloncy |
| Upload Date | May 28 2025 10:25 PM |
| Views | 7 |
| Notes | GHelper TURBO STANDARD auto on plug - iGPU |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
3600
669.5 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.9 IPS |
|
|
Image Classification (Q)
|
100% |
10177
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12728
206.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8385
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
8393
9.79 IPS |
|
|
Pose Estimation (Q)
|
98% |
31617
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
3499
277.5 IPS |
|
|
Object Detection (HP)
|
100% |
3519
279.2 IPS |
|
|
Object Detection (Q)
|
88% |
10679
856.0 IPS |
|
|
Face Detection (SP)
|
100% |
8712
103.5 IPS |
|
|
Face Detection (HP)
|
100% |
8748
103.9 IPS |
|
|
Face Detection (Q)
|
100% |
28655
340.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9922
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9714
74.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
26146
203.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21690
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22468
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
83346
107.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4751
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4736
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15282
565.9 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (Q)
|
92% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4669
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4628
79.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6748
116.2 IPS |
