ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench ML Score
11651
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 04:01 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% |
6187
1.16 KIPS |
|
|
Image Classification (F16)
|
100% |
6485
1.21 KIPS |
|
|
Image Classification (I8)
|
100% |
5909
1.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9039
151.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
8951
149.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
8029
134.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
62655
75.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
64081
77.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
57510
69.6 IPS |
|
|
Object Detection (F32)
|
100% |
3450
257.6 IPS |
|
|
Object Detection (F16)
|
100% |
4698
350.7 IPS |
|
|
Object Detection (I8)
|
61% |
3512
262.2 IPS |
|
|
Face Detection (F32)
|
100% |
16581
197.2 IPS |
|
|
Face Detection (F16)
|
100% |
14893
177.1 IPS |
|
|
Face Detection (I8)
|
89% |
13168
156.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
26064
202.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
32320
250.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
24164
187.4 IPS |
|
|
Style Transfer (F32)
|
100% |
117726
154.9 IPS |
|
|
Style Transfer (F16)
|
100% |
93139
122.5 IPS |
|
|
Style Transfer (I8)
|
98% |
83432
109.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16503
589.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19354
691.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14907
532.4 IPS |
|
|
Text Classification (F32)
|
100% |
2278
3.27 KIPS |
|
|
Text Classification (F16)
|
100% |
2304
3.31 KIPS |
|
|
Text Classification (I8)
|
98% |
1416
2.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
3583
65.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3487
64.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1810
33.3 IPS |
