ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5896
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 11 2025 06:15 AM |
| Views | 5 |
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 | 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% |
1840
344.3 IPS |
|
|
Image Classification (F16)
|
100% |
1859
347.9 IPS |
|
|
Image Classification (I8)
|
100% |
1593
298.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3942
65.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4010
67.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3218
53.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
36542
44.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
40055
48.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
30191
36.6 IPS |
|
|
Object Detection (F32)
|
100% |
1547
115.5 IPS |
|
|
Object Detection (F16)
|
100% |
1528
114.1 IPS |
|
|
Object Detection (I8)
|
62% |
1443
107.8 IPS |
|
|
Face Detection (F32)
|
100% |
5898
70.1 IPS |
|
|
Face Detection (F16)
|
100% |
5714
67.9 IPS |
|
|
Face Detection (I8)
|
89% |
4444
52.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
14574
113.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
14792
114.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
12104
93.9 IPS |
|
|
Style Transfer (F32)
|
100% |
63317
83.3 IPS |
|
|
Style Transfer (F16)
|
100% |
61172
80.5 IPS |
|
|
Style Transfer (I8)
|
98% |
46460
61.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9778
349.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8411
300.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7203
257.2 IPS |
|
|
Text Classification (F32)
|
100% |
2347
3.37 KIPS |
|
|
Text Classification (F16)
|
100% |
2292
3.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1691
2.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
2429
44.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2391
44.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1430
26.3 IPS |
