ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
7743
Single Precision Score
10656
Half Precision Score
5750
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | David_Huang |
| Upload Date | August 16 2024 04:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3018
561.2 IPS |
|
|
Image Classification (HP)
|
100% |
4058
754.7 IPS |
|
|
Image Classification (Q)
|
100% |
2561
476.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4433
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5188
84.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3618
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
35891
41.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
57281
66.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29400
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
3561
282.5 IPS |
|
|
Object Detection (Q)
|
89% |
2164
173.2 IPS |
|
|
Face Detection (SP)
|
100% |
6088
72.3 IPS |
|
|
Face Detection (HP)
|
100% |
10782
128.1 IPS |
|
|
Face Detection (Q)
|
97% |
4783
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17721
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24913
191.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
13540
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
62153
79.9 IPS |
|
|
Style Transfer (HP)
|
100% |
99893
128.4 IPS |
|
|
Style Transfer (Q)
|
98% |
47054
60.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12211
450.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16763
619.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8826
326.8 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2651
3.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1701
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3688
63.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1466
32.7 IPS |
