ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5962
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 10:15 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 | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2870
537.0 IPS |
|
|
Image Classification (F16)
|
100% |
2797
523.4 IPS |
|
|
Image Classification (I8)
|
100% |
2367
442.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4137
69.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4237
70.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3421
57.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
38574
46.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
37432
45.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
22628
27.4 IPS |
|
|
Object Detection (F32)
|
100% |
1692
126.3 IPS |
|
|
Object Detection (F16)
|
100% |
1635
122.1 IPS |
|
|
Object Detection (I8)
|
62% |
1953
145.8 IPS |
|
|
Face Detection (F32)
|
100% |
5848
69.5 IPS |
|
|
Face Detection (F16)
|
100% |
5818
69.2 IPS |
|
|
Face Detection (I8)
|
89% |
4356
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15711
121.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
15906
123.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
12256
95.0 IPS |
|
|
Style Transfer (F32)
|
100% |
61379
80.7 IPS |
|
|
Style Transfer (F16)
|
100% |
62525
82.2 IPS |
|
|
Style Transfer (I8)
|
98% |
31335
41.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7442
265.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5818
207.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6048
216.0 IPS |
|
|
Text Classification (F32)
|
100% |
2150
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1545
2.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
2696
49.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2259
41.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1507
27.7 IPS |
