ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench ML Score
3525
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 03:56 PM |
| Views | 2 |
System Information
| 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 | Performance |
| 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 |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1311
245.3 IPS |
|
|
Image Classification (F16)
|
100% |
1304
244.0 IPS |
|
|
Image Classification (I8)
|
99% |
3586
671.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
858
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
988
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2813
47.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7671
9.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
7665
9.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
27810
33.7 IPS |
|
|
Object Detection (F32)
|
100% |
1474
110.1 IPS |
|
|
Object Detection (F16)
|
100% |
1483
110.7 IPS |
|
|
Object Detection (I8)
|
62% |
1813
135.3 IPS |
|
|
Face Detection (F32)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (F16)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (I8)
|
89% |
5952
70.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6367
49.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6331
49.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
15350
119.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16078
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
16283
21.4 IPS |
|
|
Style Transfer (I8)
|
98% |
26724
35.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2828
101.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2814
100.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4559
162.8 IPS |
|
|
Text Classification (F32)
|
100% |
1371
1.97 KIPS |
|
|
Text Classification (F16)
|
100% |
1385
1.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1168
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2306
42.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2282
42.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3462
63.7 IPS |
