ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6256
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 09:19 AM |
| Views | 2 |
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 | Rovnovha |
| 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% |
2404
449.9 IPS |
|
|
Image Classification (F16)
|
100% |
2575
481.8 IPS |
|
|
Image Classification (I8)
|
100% |
1752
327.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4155
69.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
4180
69.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3510
58.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
40821
49.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
41489
50.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
31859
38.6 IPS |
|
|
Object Detection (F32)
|
100% |
1634
122.0 IPS |
|
|
Object Detection (F16)
|
100% |
1663
124.2 IPS |
|
|
Object Detection (I8)
|
62% |
1634
122.0 IPS |
|
|
Face Detection (F32)
|
100% |
6008
71.4 IPS |
|
|
Face Detection (F16)
|
100% |
5992
71.2 IPS |
|
|
Face Detection (I8)
|
89% |
4682
55.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15284
118.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
15797
122.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
12233
94.9 IPS |
|
|
Style Transfer (F32)
|
100% |
63648
83.7 IPS |
|
|
Style Transfer (F16)
|
100% |
64994
85.5 IPS |
|
|
Style Transfer (I8)
|
98% |
47351
62.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9299
332.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9141
326.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7204
257.3 IPS |
|
|
Text Classification (F32)
|
100% |
2131
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
2162
3.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1605
2.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
2794
51.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2550
46.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1554
28.6 IPS |
