ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
3676
Single Precision Score
3676
Half Precision Score
8848
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 19 2024 08:43 AM |
| Views | 2 |
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 |
| 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% |
1871
348.0 IPS |
|
|
Image Classification (HP)
|
100% |
1855
345.0 IPS |
|
|
Image Classification (Q)
|
100% |
4655
865.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4700
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6663
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
6622
7.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
26793
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (HP)
|
100% |
2025
160.7 IPS |
|
|
Object Detection (Q)
|
88% |
4957
397.4 IPS |
|
|
Face Detection (SP)
|
100% |
6518
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
6489
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
12954
153.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5646
43.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
5561
42.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
12497
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16854
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17193
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
66178
85.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2956
109.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2953
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10897
403.6 IPS |
|
|
Text Classification (SP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1674
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
2082
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3196
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (Q)
|
85% |
4166
72.8 IPS |
