ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5847
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 25 2024 09:29 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 | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1723
322.4 IPS |
|
|
Image Classification (F16)
|
100% |
2301
430.6 IPS |
|
|
Image Classification (I8)
|
100% |
1656
309.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3927
65.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3930
65.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3174
53.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
37453
45.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
35199
42.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
29741
36.0 IPS |
|
|
Object Detection (F32)
|
100% |
1631
121.8 IPS |
|
|
Object Detection (F16)
|
100% |
1657
123.7 IPS |
|
|
Object Detection (I8)
|
62% |
1530
114.2 IPS |
|
|
Face Detection (F32)
|
100% |
5598
66.6 IPS |
|
|
Face Detection (F16)
|
100% |
5580
66.4 IPS |
|
|
Face Detection (I8)
|
89% |
4400
52.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
14840
115.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
15284
118.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
11111
86.2 IPS |
|
|
Style Transfer (F32)
|
100% |
58522
77.0 IPS |
|
|
Style Transfer (F16)
|
100% |
64062
84.3 IPS |
|
|
Style Transfer (I8)
|
98% |
44996
59.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9354
334.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7989
285.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6466
230.9 IPS |
|
|
Text Classification (F32)
|
100% |
2241
3.22 KIPS |
|
|
Text Classification (F16)
|
100% |
2224
3.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1665
2.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
2415
44.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2426
44.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1427
26.3 IPS |
