ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
4612
Single Precision Score
4660
Half Precision Score
12163
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | sahinkilinc |
| Upload Date | September 05 2024 10:21 PM |
| Views | 20 |
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 |
| Power Plan | Dengeli |
| 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% |
2834
527.1 IPS |
|
|
Image Classification (HP)
|
100% |
2852
530.4 IPS |
|
|
Image Classification (Q)
|
100% |
7695
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6963
112.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6883
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6922
8.08 IPS |
|
|
Pose Estimation (Q)
|
98% |
26839
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2744
217.6 IPS |
|
|
Object Detection (HP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (Q)
|
88% |
8109
650.1 IPS |
|
|
Face Detection (SP)
|
100% |
7758
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
7926
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
22729
270.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7801
60.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
7942
61.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
20145
159.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18505
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18850
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
69100
89.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3872
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3829
141.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13176
488.0 IPS |
|
|
Text Classification (SP)
|
100% |
2526
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
3409
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3590
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (Q)
|
85% |
4276
74.7 IPS |
