ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
2968
Single Precision Score
856
Half Precision Score
5226
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | September 08 2024 07:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1670
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.8 IPS |
|
|
Image Classification (Q)
|
99% |
4307
803.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
2561
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6762
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5341
6.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
23868
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
88% |
2152
172.5 IPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
343
4.07 IPS |
|
|
Face Detection (Q)
|
97% |
5062
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6882
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1082
8.33 IPS |
|
|
Depth Estimation (Q)
|
76% |
11180
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15653
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13544
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29998
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2483
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3704
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
697
930.1 IPS |
|
|
Text Classification (Q)
|
97% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (Q)
|
60% |
2822
62.9 IPS |
