ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3129
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 10:13 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 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% |
1274
238.3 IPS |
|
|
Image Classification (F16)
|
100% |
1248
233.5 IPS |
|
|
Image Classification (I8)
|
99% |
3500
655.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
757
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
658
11.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2611
43.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7086
8.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
7131
8.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
24220
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
1434
107.1 IPS |
|
|
Object Detection (I8)
|
62% |
1336
99.7 IPS |
|
|
Face Detection (F32)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (F16)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (I8)
|
89% |
5184
61.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6146
47.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6285
48.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14909
115.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13026
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
14028
18.5 IPS |
|
|
Style Transfer (I8)
|
98% |
26889
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1972
70.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2624
93.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3778
134.9 IPS |
|
|
Text Classification (F32)
|
100% |
1187
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
1300
1.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1107
1.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
1632
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1654
30.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2320
42.7 IPS |
