ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
4659
Single Precision Score
5971
Half Precision Score
3932
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Bilanciato |
| 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% |
1948
362.2 IPS |
|
|
Image Classification (HP)
|
100% |
2433
452.5 IPS |
|
|
Image Classification (Q)
|
100% |
1996
371.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3285
53.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3144
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15849
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31573
36.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13077
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (Q)
|
87% |
1695
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
4833
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
5822
69.2 IPS |
|
|
Face Detection (Q)
|
97% |
4679
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10924
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14205
109.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
9928
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28195
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40200
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21404
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7287
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3879
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
1572
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2682
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2603
44.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1330
24.9 IPS |
