ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA
Geekbench AI Score
3522
Single Precision Score
1650
Half Precision Score
6609
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jetienne |
| Upload Date | December 16 2024 04:39 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% |
2203
409.7 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (Q)
|
99% |
8404
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3684
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6738
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4887
5.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
22239
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.9 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
86% |
6703
538.7 IPS |
|
|
Face Detection (SP)
|
100% |
5159
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
10881
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9265
71.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2470
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7400
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15850
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14538
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22990
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2685
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2560
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3364
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1963
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2015
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2820
56.7 IPS |
