ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6233
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 20 2025 10:52 AM |
| Views | 7 |
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% |
2331
436.3 IPS |
|
|
Image Classification (F16)
|
100% |
2130
398.6 IPS |
|
|
Image Classification (I8)
|
100% |
1747
326.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4180
69.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4125
68.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3467
57.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
41257
50.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
40761
49.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
31630
38.3 IPS |
|
|
Object Detection (F32)
|
100% |
1680
125.4 IPS |
|
|
Object Detection (F16)
|
100% |
1636
122.1 IPS |
|
|
Object Detection (I8)
|
62% |
1455
108.6 IPS |
|
|
Face Detection (F32)
|
100% |
5931
70.5 IPS |
|
|
Face Detection (F16)
|
100% |
5906
70.2 IPS |
|
|
Face Detection (I8)
|
89% |
4723
56.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15096
117.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
15317
118.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
12894
100.0 IPS |
|
|
Style Transfer (F32)
|
100% |
66909
88.0 IPS |
|
|
Style Transfer (F16)
|
100% |
63222
83.2 IPS |
|
|
Style Transfer (I8)
|
98% |
43782
57.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9611
343.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10403
371.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7531
269.0 IPS |
|
|
Text Classification (F32)
|
100% |
2420
3.48 KIPS |
|
|
Text Classification (F16)
|
100% |
2382
3.42 KIPS |
|
|
Text Classification (I8)
|
98% |
1745
2.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
2398
44.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2504
46.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1520
28.0 IPS |
