ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
2077
Single Precision Score
873
Half Precision Score
4054
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 03:02 PM |
| Views | 3 |
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 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Bilanciato |
| 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% |
1929
358.7 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (Q)
|
99% |
5489
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1933
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
14091
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
86% |
4871
391.5 IPS |
|
|
Face Detection (SP)
|
100% |
4251
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
6778
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4031
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1424
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
4177
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7231
9.30 IPS |
|
|
Style Transfer (HP)
|
100% |
5747
7.39 IPS |
|
|
Style Transfer (Q)
|
98% |
19639
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2451
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
510
680.7 IPS |
|
|
Text Classification (Q)
|
97% |
726
972.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (Q)
|
65% |
1667
33.5 IPS |
