ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401KM_FA401KM
Geekbench AI Score
6922
Single Precision Score
10560
Half Precision Score
5294
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 11:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401KM_FA401KM |
| Motherboard | ASUSTeK COMPUTER INC. FA401KM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1917
356.5 IPS |
|
|
Image Classification (HP)
|
100% |
3774
701.9 IPS |
|
|
Image Classification (Q)
|
100% |
2281
424.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4007
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3921
63.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3295
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
35487
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
65267
76.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
28085
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
3272
259.6 IPS |
|
|
Object Detection (Q)
|
87% |
1729
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
6192
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
9711
115.4 IPS |
|
|
Face Detection (Q)
|
97% |
5437
64.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14796
114.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20590
158.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
11645
93.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57073
73.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94969
122.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42699
55.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11003
406.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20402
753.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6748
249.9 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1674
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3988
68.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1554
29.1 IPS |
