ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA
Geekbench AI Score
2867
Single Precision Score
1439
Half Precision Score
4636
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 06:17 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 Vivobook S 16 M5606WA_M5606WA |
| Motherboard | ASUSTeK COMPUTER INC. M5606WA |
| 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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
99% |
3793
707.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2896
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6708
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5259
6.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
26148
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
88% |
1811
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
4836
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6539
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2266
17.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4674
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15997
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14231
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30727
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2205
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
619
825.8 IPS |
|
|
Text Classification (Q)
|
97% |
1407
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2378
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2466
55.0 IPS |
