ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench AI Score
8460
Single Precision Score
13918
Half Precision Score
5912
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 12:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV |
| Motherboard | ASUSTeK COMPUTER INC. FA401WV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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% |
2675
497.5 IPS |
|
|
Image Classification (HP)
|
100% |
5782
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
2034
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4753
77.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5866
95.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3886
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47889
55.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
100726
117.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
34680
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
100% |
3484
276.4 IPS |
|
|
Object Detection (Q)
|
87% |
2161
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
6770
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
11719
139.2 IPS |
|
|
Face Detection (Q)
|
97% |
5729
68.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18492
142.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
31036
239.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
14217
114.0 IPS |
|
|
Style Transfer (SP)
|
100% |
77251
99.3 IPS |
|
|
Style Transfer (HP)
|
100% |
141253
181.6 IPS |
|
|
Style Transfer (Q)
|
98% |
53249
68.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11848
437.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28423
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
6940
257.0 IPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3338
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1964
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4161
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4703
81.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1492
28.0 IPS |
