ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
7558
Single Precision Score
10459
Half Precision Score
5493
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | David_Huang |
| Upload Date | August 16 2024 04:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (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% |
3062
569.4 IPS |
|
|
Image Classification (HP)
|
100% |
4037
750.7 IPS |
|
|
Image Classification (Q)
|
100% |
2492
463.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4435
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5164
83.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3713
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34116
39.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
59503
69.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
26657
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
100% |
3426
271.7 IPS |
|
|
Object Detection (Q)
|
89% |
2068
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
5891
70.0 IPS |
|
|
Face Detection (HP)
|
100% |
10195
121.1 IPS |
|
|
Face Detection (Q)
|
97% |
4242
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16956
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23817
183.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
12673
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
60023
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
97987
126.0 IPS |
|
|
Style Transfer (Q)
|
98% |
45701
58.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12137
448.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16969
626.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8591
318.1 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1697
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1370
30.6 IPS |
