ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6652
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2025 07:00 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
3113
582.5 IPS |
|
|
Image Classification (F16)
|
100% |
2999
561.3 IPS |
|
|
Image Classification (I8)
|
100% |
2570
481.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
4295
71.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4279
71.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3522
58.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
29750
36.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
40943
49.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
32131
38.9 IPS |
|
|
Object Detection (F32)
|
100% |
1704
127.2 IPS |
|
|
Object Detection (F16)
|
100% |
1719
128.4 IPS |
|
|
Object Detection (I8)
|
62% |
1633
121.9 IPS |
|
|
Face Detection (F32)
|
100% |
5990
71.2 IPS |
|
|
Face Detection (F16)
|
100% |
6038
71.8 IPS |
|
|
Face Detection (I8)
|
89% |
4712
56.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15701
121.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
16097
124.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
13429
104.1 IPS |
|
|
Style Transfer (F32)
|
100% |
67531
88.8 IPS |
|
|
Style Transfer (F16)
|
100% |
70121
92.2 IPS |
|
|
Style Transfer (I8)
|
98% |
49718
65.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10651
380.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9664
345.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7400
264.3 IPS |
|
|
Text Classification (F32)
|
100% |
2178
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
2239
3.22 KIPS |
|
|
Text Classification (I8)
|
98% |
1614
2.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
3449
63.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3501
64.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1704
31.4 IPS |
