ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench AI Score
2847
Single Precision Score
1450
Half Precision Score
4758
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 06 2024 02:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
99% |
3815
711.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
737
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2653
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7482
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5876
6.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
27316
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.4 IPS |
|
|
Object Detection (Q)
|
88% |
1804
144.6 IPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
4989
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6393
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2330
17.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6127
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15259
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15029
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30549
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2295
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2022
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3624
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
624
833.5 IPS |
|
|
Text Classification (Q)
|
97% |
1422
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2482
55.4 IPS |
