ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
1985
Single Precision Score
998
Half Precision Score
3563
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 10:06 AM |
| Views | 1 |
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 |
| 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% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
99% |
2109
393.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
1365
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3907
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3314
3.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
15717
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (Q)
|
86% |
4237
340.5 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
4944
58.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4959
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1550
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
4971
39.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9480
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9808
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21665
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1334
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2182
80.8 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.3 IPS |
|
|
Text Classification (HP)
|
100% |
383
511.3 IPS |
|
|
Text Classification (Q)
|
97% |
775
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (Q)
|
65% |
1914
38.5 IPS |
