ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench ML Score
3517
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 12:42 AM |
| 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 | 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 |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1248
233.6 IPS |
|
|
Image Classification (F16)
|
100% |
1284
240.2 IPS |
|
|
Image Classification (I8)
|
99% |
3610
675.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
879
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2845
47.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
7666
9.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
7603
9.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
28484
34.5 IPS |
|
|
Object Detection (F32)
|
100% |
1451
108.3 IPS |
|
|
Object Detection (F16)
|
100% |
1423
106.2 IPS |
|
|
Object Detection (I8)
|
62% |
1728
129.0 IPS |
|
|
Face Detection (F32)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (F16)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (I8)
|
89% |
5901
70.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6423
49.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6473
50.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
15563
120.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15693
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
16003
21.1 IPS |
|
|
Style Transfer (I8)
|
98% |
28755
37.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2850
101.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2801
100.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3687
131.7 IPS |
|
|
Text Classification (F32)
|
100% |
1331
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
1357
1.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1151
1.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
2332
42.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2415
44.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3288
60.5 IPS |
