ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6225
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 04:30 PM |
| 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% |
2498
467.5 IPS |
|
|
Image Classification (F16)
|
100% |
2830
529.5 IPS |
|
|
Image Classification (I8)
|
100% |
1885
352.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4294
71.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4260
71.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3477
58.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
38035
46.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
40297
48.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
31763
38.5 IPS |
|
|
Object Detection (F32)
|
100% |
1641
122.5 IPS |
|
|
Object Detection (F16)
|
100% |
1663
124.2 IPS |
|
|
Object Detection (I8)
|
62% |
1633
121.9 IPS |
|
|
Face Detection (F32)
|
100% |
6004
71.4 IPS |
|
|
Face Detection (F16)
|
100% |
5954
70.8 IPS |
|
|
Face Detection (I8)
|
89% |
4726
56.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15461
119.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
16354
126.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
12901
100.0 IPS |
|
|
Style Transfer (F32)
|
100% |
61376
80.7 IPS |
|
|
Style Transfer (F16)
|
100% |
60389
79.4 IPS |
|
|
Style Transfer (I8)
|
98% |
49507
65.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10204
364.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7870
281.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6827
243.8 IPS |
|
|
Text Classification (F32)
|
100% |
2128
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
2142
3.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1596
2.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
2342
43.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2535
46.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1520
28.0 IPS |
