ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
7456
Single Precision Score
10390
Half Precision Score
5468
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 18 2024 10:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
2895
538.4 IPS |
|
|
Image Classification (HP)
|
100% |
4484
833.9 IPS |
|
|
Image Classification (Q)
|
100% |
2331
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4517
73.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5464
88.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3686
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
42748
49.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69140
80.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
33098
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
2359
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
3613
286.6 IPS |
|
|
Object Detection (Q)
|
89% |
2091
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
6046
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
10571
125.6 IPS |
|
|
Face Detection (Q)
|
97% |
4756
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18528
142.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27187
209.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
12868
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
72389
93.1 IPS |
|
|
Style Transfer (HP)
|
100% |
116898
150.3 IPS |
|
|
Style Transfer (Q)
|
98% |
51631
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10888
402.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17647
651.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7656
283.5 IPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1260
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1320
29.4 IPS |
