ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5982
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 02 2024 07:41 AM |
| Views | 2 |
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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.00 MB x 10 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2526
472.8 IPS |
|
|
Image Classification (F16)
|
100% |
2565
479.9 IPS |
|
|
Image Classification (I8)
|
100% |
1651
309.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3971
66.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3939
65.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3298
55.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
32781
39.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
34775
42.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
26943
32.6 IPS |
|
|
Object Detection (F32)
|
100% |
1687
125.9 IPS |
|
|
Object Detection (F16)
|
100% |
1656
123.6 IPS |
|
|
Object Detection (I8)
|
62% |
1556
116.2 IPS |
|
|
Face Detection (F32)
|
100% |
5583
66.4 IPS |
|
|
Face Detection (F16)
|
100% |
5720
68.0 IPS |
|
|
Face Detection (I8)
|
89% |
4476
53.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
14778
114.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
14126
109.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
12338
95.7 IPS |
|
|
Style Transfer (F32)
|
100% |
58006
76.3 IPS |
|
|
Style Transfer (F16)
|
100% |
54884
72.2 IPS |
|
|
Style Transfer (I8)
|
98% |
43347
57.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9258
330.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8999
321.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6700
239.3 IPS |
|
|
Text Classification (F32)
|
100% |
2251
3.23 KIPS |
|
|
Text Classification (F16)
|
100% |
2235
3.21 KIPS |
|
|
Text Classification (I8)
|
98% |
1583
2.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
2927
53.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2880
53.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1445
26.6 IPS |
