ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench AI Score
5401
Single Precision Score
5422
Half Precision Score
14673
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 01:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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 | Silent |
| 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% |
3070
570.9 IPS |
|
|
Image Classification (HP)
|
100% |
3117
579.8 IPS |
|
|
Image Classification (Q)
|
100% |
9610
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3536
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3793
61.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10123
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7746
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
7410
8.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
30503
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3106
246.4 IPS |
|
|
Object Detection (HP)
|
100% |
3245
257.4 IPS |
|
|
Object Detection (Q)
|
88% |
9819
787.1 IPS |
|
|
Face Detection (SP)
|
100% |
7526
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
7749
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
26617
316.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8856
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8902
68.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
23887
185.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21606
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21356
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81849
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4368
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4383
161.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14139
523.6 IPS |
|
|
Text Classification (SP)
|
100% |
3141
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (Q)
|
92% |
3615
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4041
69.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5970
102.8 IPS |
