ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
4628
Single Precision Score
4578
Half Precision Score
11826
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | David_Huang |
| Upload Date | August 16 2024 04:07 PM |
| 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 Enterprise LTSC (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% |
2788
518.5 IPS |
|
|
Image Classification (HP)
|
100% |
2657
494.1 IPS |
|
|
Image Classification (Q)
|
100% |
7435
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7274
117.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6923
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
7013
8.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
27623
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2725
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
2726
216.3 IPS |
|
|
Object Detection (Q)
|
88% |
7816
626.5 IPS |
|
|
Face Detection (SP)
|
100% |
7581
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
7640
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
20244
240.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8021
61.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
7832
60.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
20056
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18791
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18989
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
69588
89.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3906
144.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12704
470.5 IPS |
|
|
Text Classification (SP)
|
100% |
2512
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3119
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (Q)
|
85% |
4096
71.6 IPS |
