ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
7431
Single Precision Score
10900
Half Precision Score
5780
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2025 04:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| 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% |
2103
391.0 IPS |
|
|
Image Classification (HP)
|
100% |
4836
899.4 IPS |
|
|
Image Classification (Q)
|
100% |
1948
362.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4378
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4893
79.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3658
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
42726
49.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69680
81.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32994
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
2387
189.4 IPS |
|
|
Object Detection (HP)
|
100% |
3336
264.6 IPS |
|
|
Object Detection (Q)
|
87% |
2249
180.6 IPS |
|
|
Face Detection (SP)
|
100% |
6601
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
10489
124.6 IPS |
|
|
Face Detection (Q)
|
97% |
5628
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16637
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22978
177.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13555
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
70997
91.3 IPS |
|
|
Style Transfer (HP)
|
100% |
111602
143.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50217
64.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12046
444.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21710
801.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8122
300.7 IPS |
|
|
Text Classification (SP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1749
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2700
46.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1448
27.2 IPS |
