ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5995
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 19 2024 09:22 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 | Dengeli |
| 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% |
2071
387.6 IPS |
|
|
Image Classification (F16)
|
100% |
2719
508.8 IPS |
|
|
Image Classification (I8)
|
100% |
1949
364.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
4203
70.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4183
69.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3429
57.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
38460
46.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
39223
47.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
24839
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
1589
118.6 IPS |
|
|
Object Detection (F16)
|
100% |
1625
121.3 IPS |
|
|
Object Detection (I8)
|
62% |
1612
120.4 IPS |
|
|
Face Detection (F32)
|
100% |
6070
72.2 IPS |
|
|
Face Detection (F16)
|
100% |
6036
71.8 IPS |
|
|
Face Detection (I8)
|
89% |
4728
56.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15798
122.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
16062
124.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
12698
98.5 IPS |
|
|
Style Transfer (F32)
|
100% |
63286
83.2 IPS |
|
|
Style Transfer (F16)
|
100% |
61615
81.0 IPS |
|
|
Style Transfer (I8)
|
98% |
35816
47.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9208
328.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8639
308.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6396
228.4 IPS |
|
|
Text Classification (F32)
|
100% |
2221
3.19 KIPS |
|
|
Text Classification (F16)
|
100% |
2082
2.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1513
2.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
2287
42.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2148
39.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1540
28.3 IPS |
