ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
2966
Single Precision Score
877
Half Precision Score
5199
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 12 2025 04:31 PM |
| Views | 2 |
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% |
1625
302.2 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
99% |
4237
790.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
2715
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7310
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5780
6.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
25232
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
88% |
2117
169.7 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.21 IPS |
|
|
Face Detection (Q)
|
97% |
5210
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6695
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1072
8.26 IPS |
|
|
Depth Estimation (Q)
|
76% |
12023
96.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16387
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14131
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30336
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2427
89.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2211
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3530
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
643
858.8 IPS |
|
|
Text Classification (Q)
|
97% |
1373
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2553
56.9 IPS |
