ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606KA_UM5606KA
Geekbench AI Score
3557
Single Precision Score
1866
Half Precision Score
8393
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 26 2026 09:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606KA_UM5606KA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606KA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2771
515.4 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.7 IPS |
|
|
Image Classification (Q)
|
99% |
7510
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8897
144.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5301
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4265
4.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
20895
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
978
77.6 IPS |
|
|
Object Detection (Q)
|
86% |
7346
590.4 IPS |
|
|
Face Detection (SP)
|
100% |
5605
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
10327
123.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7197
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2607
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16111
128.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12930
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11339
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28951
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2445
90.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4909
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2037
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3512
70.6 IPS |
