ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
7201
Single Precision Score
9977
Half Precision Score
5351
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | imholyagnostic |
| Upload Date | September 24 2024 11:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| 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% |
3030
563.6 IPS |
|
|
Image Classification (HP)
|
100% |
4162
773.9 IPS |
|
|
Image Classification (Q)
|
100% |
2458
457.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4379
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5378
87.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3592
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44081
51.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
73295
85.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
33702
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (Q)
|
89% |
1894
151.6 IPS |
|
|
Face Detection (SP)
|
100% |
5988
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
10048
119.4 IPS |
|
|
Face Detection (Q)
|
97% |
4662
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17048
131.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28167
217.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
13067
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
74530
95.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122892
158.0 IPS |
|
|
Style Transfer (Q)
|
98% |
50914
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12772
471.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18815
694.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7996
296.1 IPS |
|
|
Text Classification (SP)
|
100% |
1658
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1549
2.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1176
26.2 IPS |
