ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
3299
Single Precision Score
1514
Half Precision Score
6647
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2025 04:43 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% |
2546
473.5 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (Q)
|
99% |
6662
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3216
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6417
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4889
5.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
24743
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (Q)
|
86% |
7236
581.6 IPS |
|
|
Face Detection (SP)
|
100% |
5530
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
1464
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
10205
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7361
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2480
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7715
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14297
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12864
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31174
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2240
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3547
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
1451
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
677
903.0 IPS |
|
|
Text Classification (Q)
|
97% |
1501
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2386
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3359
67.5 IPS |
