ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401KM_FA401KM
Geekbench AI Score
7123
Single Precision Score
10410
Half Precision Score
5338
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 04:08 AM |
| Views | 4 |
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% |
2509
466.6 IPS |
|
|
Image Classification (HP)
|
100% |
3800
706.7 IPS |
|
|
Image Classification (Q)
|
100% |
2352
437.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4117
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3931
63.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3226
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
34748
40.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
66271
77.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26984
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
1859
147.4 IPS |
|
|
Object Detection (HP)
|
100% |
2851
226.1 IPS |
|
|
Object Detection (Q)
|
87% |
1967
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (HP)
|
100% |
9581
113.8 IPS |
|
|
Face Detection (Q)
|
97% |
5351
63.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14847
114.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20976
161.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12021
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57694
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
93184
119.8 IPS |
|
|
Style Transfer (Q)
|
98% |
42826
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11296
417.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20341
751.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7537
279.1 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1689
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3966
68.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1331
25.0 IPS |
