ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3113
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 04:06 AM |
| Views | 1 |
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 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.00 MB x 10 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1183
221.4 IPS |
|
|
Image Classification (F16)
|
100% |
1188
222.2 IPS |
|
|
Image Classification (I8)
|
99% |
3530
660.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
827
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
851
14.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2567
42.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5575
6.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
5499
6.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
21668
26.2 IPS |
|
|
Object Detection (F32)
|
100% |
1442
107.7 IPS |
|
|
Object Detection (F16)
|
100% |
1332
99.4 IPS |
|
|
Object Detection (I8)
|
62% |
1694
126.5 IPS |
|
|
Face Detection (F32)
|
100% |
2817
33.5 IPS |
|
|
Face Detection (F16)
|
100% |
2839
33.8 IPS |
|
|
Face Detection (I8)
|
89% |
5063
60.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5876
45.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5877
45.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
13558
105.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12740
16.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12768
16.8 IPS |
|
|
Style Transfer (I8)
|
98% |
25312
33.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2276
81.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2171
77.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3515
125.5 IPS |
|
|
Text Classification (F32)
|
100% |
1317
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1303
1.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1156
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1987
36.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2123
39.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2868
52.8 IPS |
