ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
2995
Single Precision Score
1418
Half Precision Score
6597
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | danquintanilla |
| Upload Date | November 22 2025 01:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| 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 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2608
485.0 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.5 IPS |
|
|
Image Classification (Q)
|
99% |
6184
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
902
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8685
141.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6092
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4978
5.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
22920
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
86% |
5124
411.8 IPS |
|
|
Face Detection (SP)
|
100% |
4736
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
1359
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
8127
96.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5109
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1801
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12651
100.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10817
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9092
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23791
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1515
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2702
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
1450
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
743
991.9 IPS |
|
|
Text Classification (Q)
|
97% |
1253
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2991
60.1 IPS |
