ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
3058
Single Precision Score
2843
Half Precision Score
7182
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 10:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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 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% |
1842
342.6 IPS |
|
|
Image Classification (HP)
|
100% |
1559
290.0 IPS |
|
|
Image Classification (Q)
|
100% |
4390
816.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4192
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4512
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4442
5.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
19334
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1951
154.7 IPS |
|
|
Object Detection (HP)
|
100% |
2060
163.4 IPS |
|
|
Object Detection (Q)
|
88% |
4254
341.0 IPS |
|
|
Face Detection (SP)
|
100% |
4994
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
5003
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
16471
195.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5871
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5549
42.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
9743
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12857
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10933
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45127
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5344
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2188
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2571
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2548
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2852
49.1 IPS |
