ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
1805
Single Precision Score
556
Half Precision Score
3314
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 10 2025 02:57 AM |
| Views | 4 |
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% |
935
173.9 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
99% |
2521
470.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1663
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4297
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3531
4.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
15798
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
88% |
1325
106.2 IPS |
|
|
Face Detection (SP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
209
2.49 IPS |
|
|
Face Detection (Q)
|
97% |
3665
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4047
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
646
4.98 IPS |
|
|
Depth Estimation (Q)
|
76% |
7829
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8735
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9651
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20094
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2395
88.7 IPS |
|
|
Text Classification (SP)
|
100% |
610
813.8 IPS |
|
|
Text Classification (HP)
|
100% |
428
570.8 IPS |
|
|
Text Classification (Q)
|
97% |
757
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (Q)
|
60% |
1745
38.9 IPS |
