ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench ML Score
12370
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 12:46 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 | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6117
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
6257
1.17 KIPS |
|
|
Image Classification (I8)
|
100% |
5646
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11018
184.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
9027
150.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
7995
133.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
65306
79.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
64687
78.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
58521
70.9 IPS |
|
|
Object Detection (F32)
|
100% |
4763
355.6 IPS |
|
|
Object Detection (F16)
|
100% |
5156
384.9 IPS |
|
|
Object Detection (I8)
|
61% |
4128
308.2 IPS |
|
|
Face Detection (F32)
|
100% |
17464
207.7 IPS |
|
|
Face Detection (F16)
|
100% |
17915
213.0 IPS |
|
|
Face Detection (I8)
|
89% |
15037
178.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
36034
279.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
35999
279.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
31384
243.4 IPS |
|
|
Style Transfer (F32)
|
100% |
99618
131.0 IPS |
|
|
Style Transfer (F16)
|
100% |
100719
132.5 IPS |
|
|
Style Transfer (I8)
|
98% |
90483
119.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19637
701.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19963
712.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15472
552.5 IPS |
|
|
Text Classification (F32)
|
100% |
1852
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
2042
2.93 KIPS |
|
|
Text Classification (I8)
|
98% |
1244
1.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
3829
70.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3627
66.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1990
36.6 IPS |
