ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606KA_UM5606KA
Geekbench AI Score
3518
Single Precision Score
1806
Half Precision Score
7534
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 12:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606KA_UM5606KA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606KA |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 w/ Radeon 860M |
| 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% |
2619
487.0 IPS |
|
|
Image Classification (HP)
|
100% |
742
138.0 IPS |
|
|
Image Classification (Q)
|
99% |
7378
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3798
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5346
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4450
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
20766
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
909
72.1 IPS |
|
|
Object Detection (Q)
|
86% |
7175
576.7 IPS |
|
|
Face Detection (SP)
|
100% |
5471
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
1995
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
10146
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7231
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2549
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15529
123.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12358
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11044
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28542
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2409
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4006
148.3 IPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2119
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3700
74.3 IPS |
