ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3394
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 27 2024 08:31 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 | Balanserat |
| 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% |
1265
236.7 IPS |
|
|
Image Classification (F16)
|
100% |
1255
234.8 IPS |
|
|
Image Classification (I8)
|
99% |
3490
653.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
909
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
891
14.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2580
43.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7190
8.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
7078
8.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
24611
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
1440
107.5 IPS |
|
|
Object Detection (F16)
|
100% |
1415
105.7 IPS |
|
|
Object Detection (I8)
|
62% |
1731
129.2 IPS |
|
|
Face Detection (F32)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (F16)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (I8)
|
89% |
5326
63.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6300
48.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6235
48.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
14908
115.6 IPS |
|
|
Style Transfer (F32)
|
100% |
14984
19.7 IPS |
|
|
Style Transfer (F16)
|
100% |
15360
20.2 IPS |
|
|
Style Transfer (I8)
|
98% |
27029
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2410
86.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2686
95.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4195
149.8 IPS |
|
|
Text Classification (F32)
|
100% |
1325
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1317
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1114
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
2238
41.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2240
41.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3235
59.5 IPS |
