ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406UA_M5406UA
Geekbench AI Score
2527
Single Precision Score
1457
Half Precision Score
3854
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406UA_M5406UA |
| Motherboard | ASUSTeK COMPUTER INC. M5406UA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1095
203.6 IPS |
|
|
Image Classification (HP)
|
100% |
462
86.0 IPS |
|
|
Image Classification (Q)
|
99% |
3207
598.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2419
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6087
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5031
5.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
20471
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
88% |
1435
115.0 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
4180
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5738
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2265
17.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4680
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13053
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12657
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22255
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1831
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2035
75.4 IPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
733
977.9 IPS |
|
|
Text Classification (Q)
|
97% |
1667
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
636
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2149
47.9 IPS |
