ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401KM_FA401KM
Geekbench AI Score
6798
Single Precision Score
10419
Half Precision Score
5123
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 05:41 AM |
| 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% |
1868
347.3 IPS |
|
|
Image Classification (HP)
|
100% |
3799
706.5 IPS |
|
|
Image Classification (Q)
|
100% |
1946
361.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3994
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3910
63.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3310
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
35409
41.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
65124
76.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27890
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (HP)
|
100% |
2681
212.7 IPS |
|
|
Object Detection (Q)
|
87% |
1747
140.3 IPS |
|
|
Face Detection (SP)
|
100% |
6183
73.5 IPS |
|
|
Face Detection (HP)
|
100% |
9993
118.7 IPS |
|
|
Face Detection (Q)
|
97% |
5260
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14605
112.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20760
159.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
11557
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56290
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
97629
125.5 IPS |
|
|
Style Transfer (Q)
|
98% |
42834
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9675
357.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20369
752.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6494
240.5 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1682
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3673
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3968
68.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1397
26.2 IPS |
