ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
4829
Single Precision Score
4768
Half Precision Score
12502
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 19 2024 09:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | Dengeli |
| 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% |
2962
550.8 IPS |
|
|
Image Classification (HP)
|
100% |
3074
571.7 IPS |
|
|
Image Classification (Q)
|
100% |
7337
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7536
122.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7509
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
7575
8.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
29252
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
2829
224.4 IPS |
|
|
Object Detection (HP)
|
100% |
2951
234.1 IPS |
|
|
Object Detection (Q)
|
88% |
8454
677.7 IPS |
|
|
Face Detection (SP)
|
100% |
8570
101.8 IPS |
|
|
Face Detection (HP)
|
100% |
8656
102.8 IPS |
|
|
Face Detection (Q)
|
100% |
22798
270.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8598
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8525
65.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
22367
174.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20339
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20541
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
76394
98.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4172
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13786
510.5 IPS |
|
|
Text Classification (SP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2546
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3229
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2944
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3935
67.8 IPS |
