ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3308
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 25 2024 09:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1232
230.5 IPS |
|
|
Image Classification (F16)
|
100% |
1225
229.2 IPS |
|
|
Image Classification (I8)
|
99% |
3479
651.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
911
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
882
14.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2540
42.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6830
8.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
6852
8.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
23069
27.9 IPS |
|
|
Object Detection (F32)
|
100% |
1425
106.4 IPS |
|
|
Object Detection (F16)
|
100% |
1432
106.9 IPS |
|
|
Object Detection (I8)
|
62% |
1693
126.4 IPS |
|
|
Face Detection (F32)
|
100% |
3042
36.2 IPS |
|
|
Face Detection (F16)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (I8)
|
89% |
5162
61.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6068
47.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6093
47.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
14661
113.7 IPS |
|
|
Style Transfer (F32)
|
100% |
14604
19.2 IPS |
|
|
Style Transfer (F16)
|
100% |
14906
19.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26101
34.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2374
84.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2607
93.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4171
149.0 IPS |
|
|
Text Classification (F32)
|
100% |
1302
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1283
1.84 KIPS |
|
|
Text Classification (I8)
|
98% |
1110
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
2168
39.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2105
38.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2997
55.2 IPS |
