ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
2948
Single Precision Score
868
Half Precision Score
5324
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 12 2025 04:34 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 Pro (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% |
1649
306.7 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.5 IPS |
|
|
Image Classification (Q)
|
99% |
4246
792.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
2730
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7248
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5767
6.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
25455
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
1986
157.6 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
88% |
2158
173.0 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (Q)
|
97% |
5781
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6619
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1007
7.76 IPS |
|
|
Depth Estimation (Q)
|
76% |
11595
93.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15959
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13980
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29754
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2555
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2160
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3780
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
1570
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
655
874.4 IPS |
|
|
Text Classification (Q)
|
97% |
1538
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1985
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2480
55.3 IPS |
