ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6119
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 04:18 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% |
2064
386.2 IPS |
|
|
Image Classification (F16)
|
100% |
2062
385.9 IPS |
|
|
Image Classification (I8)
|
100% |
1716
321.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
4238
70.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4294
71.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3485
58.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
38979
47.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
37705
45.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
29873
36.2 IPS |
|
|
Object Detection (F32)
|
100% |
1617
120.7 IPS |
|
|
Object Detection (F16)
|
100% |
1677
125.2 IPS |
|
|
Object Detection (I8)
|
62% |
1589
118.6 IPS |
|
|
Face Detection (F32)
|
100% |
5935
70.6 IPS |
|
|
Face Detection (F16)
|
100% |
5957
70.8 IPS |
|
|
Face Detection (I8)
|
89% |
4657
55.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15965
123.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
16051
124.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
13707
106.3 IPS |
|
|
Style Transfer (F32)
|
100% |
62764
82.6 IPS |
|
|
Style Transfer (F16)
|
100% |
58910
77.5 IPS |
|
|
Style Transfer (I8)
|
98% |
45973
60.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8554
305.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10691
381.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6787
242.4 IPS |
|
|
Text Classification (F32)
|
100% |
2148
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
2163
3.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1609
2.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
2647
48.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2463
45.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1530
28.2 IPS |
