ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench ML Score
11608
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 04:04 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 | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6095
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
6524
1.22 KIPS |
|
|
Image Classification (I8)
|
100% |
5791
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10152
169.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8705
145.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
8041
134.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
63222
76.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
61305
74.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
58960
71.4 IPS |
|
|
Object Detection (F32)
|
100% |
3815
284.8 IPS |
|
|
Object Detection (F16)
|
100% |
3489
260.5 IPS |
|
|
Object Detection (I8)
|
61% |
3113
232.4 IPS |
|
|
Face Detection (F32)
|
100% |
17039
202.6 IPS |
|
|
Face Detection (F16)
|
100% |
16483
196.0 IPS |
|
|
Face Detection (I8)
|
89% |
14139
168.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
28581
221.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
24443
189.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
19769
153.3 IPS |
|
|
Style Transfer (F32)
|
100% |
120371
158.3 IPS |
|
|
Style Transfer (F16)
|
100% |
94463
124.3 IPS |
|
|
Style Transfer (I8)
|
98% |
85084
111.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19896
710.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20843
744.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14846
530.2 IPS |
|
|
Text Classification (F32)
|
100% |
2314
3.33 KIPS |
|
|
Text Classification (F16)
|
100% |
2293
3.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1375
1.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
3619
66.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3557
65.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1848
34.0 IPS |
