ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
6970
Single Precision Score
9234
Half Precision Score
5167
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 w/ Radeon 880M |
| 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% |
2324
432.1 IPS |
|
|
Image Classification (HP)
|
100% |
3527
656.0 IPS |
|
|
Image Classification (Q)
|
100% |
2134
396.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3902
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4185
67.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3285
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33232
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
52083
60.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
22859
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
100% |
2997
237.7 IPS |
|
|
Object Detection (Q)
|
87% |
2392
192.1 IPS |
|
|
Face Detection (SP)
|
100% |
6394
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
10633
126.3 IPS |
|
|
Face Detection (Q)
|
97% |
5384
64.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16535
127.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20148
155.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12165
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56413
72.5 IPS |
|
|
Style Transfer (HP)
|
100% |
86615
111.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38920
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11198
413.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15592
575.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7814
289.3 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1683
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2325
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2578
44.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1057
19.8 IPS |
