ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
5068
Single Precision Score
4988
Half Precision Score
13308
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 07:09 AM |
| Views | 3 |
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% |
3191
593.5 IPS |
|
|
Image Classification (HP)
|
100% |
3110
578.4 IPS |
|
|
Image Classification (Q)
|
100% |
8644
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8064
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7443
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
7494
8.74 IPS |
|
|
Pose Estimation (Q)
|
98% |
29228
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (HP)
|
100% |
3062
242.9 IPS |
|
|
Object Detection (Q)
|
88% |
9068
726.9 IPS |
|
|
Face Detection (SP)
|
100% |
8115
96.4 IPS |
|
|
Face Detection (HP)
|
100% |
8146
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
25396
301.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9093
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9138
70.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
24103
187.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20299
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20471
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
76186
98.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4287
158.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4290
158.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13946
516.5 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2654
3.54 KIPS |
|
|
Text Classification (Q)
|
92% |
3283
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3910
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3844
66.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4418
76.1 IPS |
