ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench ML Score
6466
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 01:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA |
| Motherboard | ASUSTeK COMPUTER INC. M5406WA |
| Power Plan | Ausbalanciert |
| 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 | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1831
342.6 IPS |
|
|
Image Classification (F16)
|
100% |
2285
427.6 IPS |
|
|
Image Classification (I8)
|
100% |
1686
315.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
4377
73.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4437
74.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3626
60.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
46344
56.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
44822
54.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
34177
41.4 IPS |
|
|
Object Detection (F32)
|
100% |
1738
129.7 IPS |
|
|
Object Detection (F16)
|
100% |
1694
126.5 IPS |
|
|
Object Detection (I8)
|
62% |
1558
116.3 IPS |
|
|
Face Detection (F32)
|
100% |
6001
71.4 IPS |
|
|
Face Detection (F16)
|
100% |
5954
70.8 IPS |
|
|
Face Detection (I8)
|
89% |
4792
57.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
17079
132.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17383
134.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
13147
102.0 IPS |
|
|
Style Transfer (F32)
|
100% |
76466
100.6 IPS |
|
|
Style Transfer (F16)
|
100% |
76003
100.0 IPS |
|
|
Style Transfer (I8)
|
98% |
48775
64.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10105
360.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8997
321.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7436
265.6 IPS |
|
|
Text Classification (F32)
|
100% |
2489
3.58 KIPS |
|
|
Text Classification (F16)
|
100% |
2473
3.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1758
2.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
2479
45.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2577
47.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1460
26.9 IPS |
