ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
5596
Single Precision Score
5530
Half Precision Score
14445
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | edlsy |
| Upload Date | May 23 2025 12:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3399
632.1 IPS |
|
|
Image Classification (HP)
|
100% |
3287
611.2 IPS |
|
|
Image Classification (Q)
|
100% |
9461
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4092
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4053
65.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11150
180.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8133
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
7945
9.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
28762
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
3280
260.2 IPS |
|
|
Object Detection (HP)
|
100% |
3250
257.8 IPS |
|
|
Object Detection (Q)
|
88% |
9679
775.9 IPS |
|
|
Face Detection (SP)
|
100% |
8098
96.2 IPS |
|
|
Face Detection (HP)
|
100% |
8302
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
26194
311.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9023
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9103
70.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
23030
179.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20018
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19649
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
73381
94.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4373
161.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14191
525.6 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
3735
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4309
74.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5744
98.9 IPS |
