ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401KM_FA401KM
Geekbench AI Score
5144
Single Precision Score
5141
Half Precision Score
14063
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 06:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| 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 | Performance |
| 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% |
3208
596.5 IPS |
|
|
Image Classification (HP)
|
100% |
3236
601.8 IPS |
|
|
Image Classification (Q)
|
100% |
9280
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3581
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3594
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9779
158.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6142
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6142
7.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
24080
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3023
239.8 IPS |
|
|
Object Detection (HP)
|
100% |
3043
241.3 IPS |
|
|
Object Detection (Q)
|
88% |
9447
757.3 IPS |
|
|
Face Detection (SP)
|
100% |
7395
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
7425
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
22655
269.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8031
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7912
61.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
23402
182.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16718
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16792
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
64040
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3576
132.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12096
448.0 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (Q)
|
92% |
5185
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4956
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4897
84.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6884
118.6 IPS |
