ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
3375
Single Precision Score
1478
Half Precision Score
6766
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 03:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA |
| Motherboard | ASUSTeK COMPUTER INC. M5406WA |
| Power Plan | CPU Lab - Battery Testing |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2617
486.6 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.9 IPS |
|
|
Image Classification (Q)
|
99% |
6913
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3190
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6742
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4980
5.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
25343
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
2571
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
670
53.1 IPS |
|
|
Object Detection (Q)
|
86% |
7140
573.9 IPS |
|
|
Face Detection (SP)
|
100% |
5917
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
1499
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
10369
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7457
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2520
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9731
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14644
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13013
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30899
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2264
83.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
633
844.8 IPS |
|
|
Text Classification (Q)
|
97% |
1474
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3127
62.8 IPS |
