ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
3511
Single Precision Score
1498
Half Precision Score
6477
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 04:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Performances leves |
| 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% |
2810
522.5 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (Q)
|
99% |
6639
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2960
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6558
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5272
6.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
24669
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2970
235.6 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
86% |
7314
587.8 IPS |
|
|
Face Detection (SP)
|
100% |
5743
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
10395
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8150
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2318
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8031
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16020
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13450
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32491
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2459
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3787
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
708
945.7 IPS |
|
|
Text Classification (Q)
|
97% |
1457
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2452
49.3 IPS |
