ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6155
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 20 2025 10:53 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% |
2063
386.0 IPS |
|
|
Image Classification (F16)
|
100% |
1962
367.1 IPS |
|
|
Image Classification (I8)
|
100% |
1710
320.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
4243
70.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4159
69.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3468
57.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
42479
51.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
42234
51.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
32133
38.9 IPS |
|
|
Object Detection (F32)
|
100% |
1629
121.6 IPS |
|
|
Object Detection (F16)
|
100% |
1550
115.7 IPS |
|
|
Object Detection (I8)
|
62% |
1498
111.8 IPS |
|
|
Face Detection (F32)
|
100% |
5928
70.5 IPS |
|
|
Face Detection (F16)
|
100% |
5915
70.3 IPS |
|
|
Face Detection (I8)
|
89% |
4680
55.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15339
119.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15352
119.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
12622
97.9 IPS |
|
|
Style Transfer (F32)
|
100% |
67919
89.3 IPS |
|
|
Style Transfer (F16)
|
100% |
65379
86.0 IPS |
|
|
Style Transfer (I8)
|
98% |
47162
62.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9239
330.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9799
350.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7057
252.0 IPS |
|
|
Text Classification (F32)
|
100% |
2333
3.35 KIPS |
|
|
Text Classification (F16)
|
100% |
2319
3.33 KIPS |
|
|
Text Classification (I8)
|
98% |
1715
2.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
2413
44.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2356
43.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1499
27.6 IPS |
