ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench ML Score
3496
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 01:08 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1258
235.4 IPS |
|
|
Image Classification (F16)
|
100% |
1272
238.1 IPS |
|
|
Image Classification (I8)
|
99% |
3526
659.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
875
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
862
14.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2872
48.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7278
8.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
7270
8.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
26956
32.6 IPS |
|
|
Object Detection (F32)
|
100% |
1485
110.9 IPS |
|
|
Object Detection (F16)
|
100% |
1454
108.6 IPS |
|
|
Object Detection (I8)
|
62% |
1775
132.5 IPS |
|
|
Face Detection (F32)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (F16)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (I8)
|
89% |
6026
71.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6225
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6244
48.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
15252
118.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15556
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
15491
20.4 IPS |
|
|
Style Transfer (I8)
|
98% |
28826
37.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2714
96.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2504
89.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4291
153.2 IPS |
|
|
Text Classification (F32)
|
100% |
1317
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1295
1.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1117
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
2513
46.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2458
45.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3374
62.1 IPS |
