ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA
Geekbench AI Score
1521
Single Precision Score
698
Half Precision Score
3204
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jetienne |
| Upload Date | December 16 2024 04:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA |
| Motherboard | ASUSTeK COMPUTER INC. M5606UA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1155
214.8 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (Q)
|
99% |
3571
666.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1559
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2017
2.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
9784
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1128
89.5 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (Q)
|
86% |
3365
270.4 IPS |
|
|
Face Detection (SP)
|
100% |
2793
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (Q)
|
97% |
4550
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3101
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1108
8.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
3685
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5609
7.21 IPS |
|
|
Style Transfer (HP)
|
100% |
5172
6.65 IPS |
|
|
Style Transfer (Q)
|
98% |
15074
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
873
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1800
66.7 IPS |
|
|
Text Classification (SP)
|
100% |
719
960.0 IPS |
|
|
Text Classification (HP)
|
100% |
350
467.7 IPS |
|
|
Text Classification (Q)
|
97% |
830
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (Q)
|
65% |
1649
33.1 IPS |
