ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
2498
Single Precision Score
1274
Half Precision Score
4298
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 08:51 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% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (Q)
|
99% |
3691
688.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2206
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4676
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4069
4.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
21926
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.0 IPS |
|
|
Object Detection (Q)
|
88% |
1672
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
2520
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
4986
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6097
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2174
16.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5409
43.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15247
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13739
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29585
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1878
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3504
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
577
770.0 IPS |
|
|
Text Classification (Q)
|
97% |
1362
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
60% |
1893
42.2 IPS |
