ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WU_FA401WU
Geekbench AI Score
5825
Single Precision Score
5796
Half Precision Score
15121
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aloncy |
| Upload Date | May 28 2025 06:47 PM |
| Views | 9 |
| Notes | GHelper Balanced Eco Auto On plug - iGPU 890M |
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% |
3588
667.3 IPS |
|
|
Image Classification (HP)
|
100% |
3464
644.1 IPS |
|
|
Image Classification (Q)
|
100% |
9677
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4082
66.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4122
66.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11642
188.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8365
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
8401
9.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
29408
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3420
271.2 IPS |
|
|
Object Detection (HP)
|
100% |
3413
270.8 IPS |
|
|
Object Detection (Q)
|
88% |
10228
819.9 IPS |
|
|
Face Detection (SP)
|
100% |
8523
101.3 IPS |
|
|
Face Detection (HP)
|
100% |
8472
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
27067
321.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9187
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8956
69.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
25329
197.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20422
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22105
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
78303
101.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4470
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14613
541.2 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3014
4.02 KIPS |
|
|
Text Classification (Q)
|
92% |
3580
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4986
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4638
79.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6568
113.1 IPS |
