ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_D5406WA
Geekbench AI Score
1808
Single Precision Score
1004
Half Precision Score
3197
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 09:04 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_D5406WA |
| Motherboard | ASUSTeK COMPUTER INC. M5406WA |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1050
195.3 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (Q)
|
99% |
2671
498.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1350
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3729
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3220
3.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
14964
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.0 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
88% |
1422
114.0 IPS |
|
|
Face Detection (SP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
1056
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
4319
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4481
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1593
12.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3377
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9791
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9867
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22653
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2529
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.0 IPS |
|
|
Text Classification (HP)
|
100% |
415
553.5 IPS |
|
|
Text Classification (Q)
|
97% |
967
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (Q)
|
60% |
1803
40.2 IPS |
