ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6218
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 09:53 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
2871
537.2 IPS |
|
|
Image Classification (F16)
|
100% |
2422
453.2 IPS |
|
|
Image Classification (I8)
|
100% |
1702
318.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
4132
69.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4202
70.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3457
57.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
40814
49.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
41510
50.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
30066
36.4 IPS |
|
|
Object Detection (F32)
|
100% |
1633
121.9 IPS |
|
|
Object Detection (F16)
|
100% |
1621
121.0 IPS |
|
|
Object Detection (I8)
|
62% |
1497
111.8 IPS |
|
|
Face Detection (F32)
|
100% |
5873
69.8 IPS |
|
|
Face Detection (F16)
|
100% |
5927
70.5 IPS |
|
|
Face Detection (I8)
|
89% |
4659
55.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15153
117.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
15044
116.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
12375
96.0 IPS |
|
|
Style Transfer (F32)
|
100% |
66472
87.4 IPS |
|
|
Style Transfer (F16)
|
100% |
64616
85.0 IPS |
|
|
Style Transfer (I8)
|
98% |
49582
65.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9175
327.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9271
331.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7024
250.8 IPS |
|
|
Text Classification (F32)
|
100% |
2340
3.36 KIPS |
|
|
Text Classification (F16)
|
100% |
2288
3.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1714
2.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
2403
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2352
43.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1495
27.5 IPS |
