ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WU_FA401WU
Geekbench AI Score
5991
Single Precision Score
5932
Half Precision Score
15574
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aloncy |
| Upload Date | May 28 2025 08:49 PM |
| Views | 8 |
| Notes | GHelper TURBO 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% |
3440
639.7 IPS |
|
|
Image Classification (HP)
|
100% |
3444
640.5 IPS |
|
|
Image Classification (Q)
|
100% |
9954
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4323
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4392
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12471
202.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8447
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
8452
9.86 IPS |
|
|
Pose Estimation (Q)
|
98% |
32314
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
3467
275.0 IPS |
|
|
Object Detection (HP)
|
100% |
3222
255.6 IPS |
|
|
Object Detection (Q)
|
88% |
9652
773.7 IPS |
|
|
Face Detection (SP)
|
100% |
8492
100.9 IPS |
|
|
Face Detection (HP)
|
100% |
8469
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
27158
322.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10189
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9859
76.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
26877
209.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22356
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22416
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
87296
112.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4868
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4708
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15415
570.9 IPS |
|
|
Text Classification (SP)
|
100% |
3139
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (Q)
|
92% |
3838
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4628
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4625
79.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5755
99.1 IPS |
