ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5985
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 04:18 PM |
| Views | 2 |
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% |
1882
352.2 IPS |
|
|
Image Classification (F16)
|
100% |
2426
453.9 IPS |
|
|
Image Classification (I8)
|
100% |
1691
316.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
4100
68.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4206
70.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3484
58.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
37201
45.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
37305
45.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
31752
38.4 IPS |
|
|
Object Detection (F32)
|
100% |
1630
121.7 IPS |
|
|
Object Detection (F16)
|
100% |
1602
119.6 IPS |
|
|
Object Detection (I8)
|
62% |
1509
112.6 IPS |
|
|
Face Detection (F32)
|
100% |
5813
69.1 IPS |
|
|
Face Detection (F16)
|
100% |
5863
69.7 IPS |
|
|
Face Detection (I8)
|
89% |
4569
54.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15516
120.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
15662
121.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
12574
97.5 IPS |
|
|
Style Transfer (F32)
|
100% |
60270
79.3 IPS |
|
|
Style Transfer (F16)
|
100% |
59168
77.8 IPS |
|
|
Style Transfer (I8)
|
98% |
46794
61.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8269
295.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8953
319.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6440
230.0 IPS |
|
|
Text Classification (F32)
|
100% |
2278
3.27 KIPS |
|
|
Text Classification (F16)
|
100% |
2164
3.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1653
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
2366
43.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2382
43.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1470
27.1 IPS |
