ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
4869
Single Precision Score
5073
Half Precision Score
13091
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:57 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 Home Single Language (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% |
3008
559.4 IPS |
|
|
Image Classification (HP)
|
100% |
3522
655.0 IPS |
|
|
Image Classification (Q)
|
100% |
8047
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7911
128.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7405
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
7439
8.68 IPS |
|
|
Pose Estimation (Q)
|
98% |
29211
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3300
261.7 IPS |
|
|
Object Detection (HP)
|
100% |
3343
265.1 IPS |
|
|
Object Detection (Q)
|
88% |
9130
731.9 IPS |
|
|
Face Detection (SP)
|
100% |
8355
99.3 IPS |
|
|
Face Detection (HP)
|
100% |
8438
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
23681
281.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9028
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8679
66.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
23925
186.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20272
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20478
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
76072
98.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4229
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4294
158.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13809
511.4 IPS |
|
|
Text Classification (SP)
|
100% |
2713
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2672
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
3337
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4387
75.6 IPS |
