ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
1397
Single Precision Score
756
Half Precision Score
2325
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:25 AM |
| 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% |
650
120.9 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
99% |
1493
278.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1342
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4114
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3298
3.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
16055
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.2 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
88% |
888
71.2 IPS |
|
|
Face Detection (SP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
679
8.06 IPS |
|
|
Face Detection (Q)
|
97% |
2727
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3041
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1160
8.93 IPS |
|
|
Depth Estimation (Q)
|
77% |
3088
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8025
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8879
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17768
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1350
50.0 IPS |
|
|
Text Classification (SP)
|
100% |
645
860.8 IPS |
|
|
Text Classification (HP)
|
100% |
333
444.2 IPS |
|
|
Text Classification (Q)
|
97% |
696
932.6 IPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (Q)
|
60% |
1150
25.6 IPS |
