ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA
Geekbench AI Score
8291
Single Precision Score
11341
Half Precision Score
6180
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jetienne |
| Upload Date | December 16 2024 04:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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% |
3249
604.3 IPS |
|
|
Image Classification (HP)
|
100% |
4942
919.1 IPS |
|
|
Image Classification (Q)
|
100% |
2817
523.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4027
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4548
73.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3502
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
42383
49.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
75716
88.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30117
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
2895
229.7 IPS |
|
|
Object Detection (HP)
|
100% |
4026
319.3 IPS |
|
|
Object Detection (Q)
|
87% |
2688
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
6208
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
10726
127.4 IPS |
|
|
Face Detection (Q)
|
97% |
5041
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18513
142.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26168
201.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13958
111.9 IPS |
|
|
Style Transfer (SP)
|
100% |
71186
91.5 IPS |
|
|
Style Transfer (HP)
|
100% |
111626
143.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50451
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14485
534.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20840
769.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9839
364.3 IPS |
|
|
Text Classification (SP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1821
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3030
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2684
46.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1601
30.0 IPS |
