ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench ML Score
7104
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 04:09 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 | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3305
618.5 IPS |
|
|
Image Classification (F16)
|
100% |
3217
601.9 IPS |
|
|
Image Classification (I8)
|
100% |
2598
486.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4591
76.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4355
72.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3676
61.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
49002
59.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
49570
60.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
37447
45.3 IPS |
|
|
Object Detection (F32)
|
100% |
1621
121.0 IPS |
|
|
Object Detection (F16)
|
100% |
1784
133.2 IPS |
|
|
Object Detection (I8)
|
62% |
1599
119.4 IPS |
|
|
Face Detection (F32)
|
100% |
5986
71.2 IPS |
|
|
Face Detection (F16)
|
100% |
6102
72.6 IPS |
|
|
Face Detection (I8)
|
89% |
4897
58.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
17703
137.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
18154
140.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
13699
106.2 IPS |
|
|
Style Transfer (F32)
|
100% |
70140
92.3 IPS |
|
|
Style Transfer (F16)
|
100% |
74235
97.6 IPS |
|
|
Style Transfer (I8)
|
98% |
53408
70.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9489
338.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10573
377.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7181
256.5 IPS |
|
|
Text Classification (F32)
|
100% |
2531
3.64 KIPS |
|
|
Text Classification (F16)
|
100% |
2531
3.64 KIPS |
|
|
Text Classification (I8)
|
98% |
1771
2.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
3530
65.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3623
66.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1802
33.2 IPS |
