ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA
Geekbench AI Score
5623
Single Precision Score
5630
Half Precision Score
15739
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jetienne |
| Upload Date | December 16 2024 04:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ 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% |
4020
747.6 IPS |
|
|
Image Classification (HP)
|
100% |
3664
681.3 IPS |
|
|
Image Classification (Q)
|
100% |
10480
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3556
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10149
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7644
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
7662
8.94 IPS |
|
|
Pose Estimation (Q)
|
98% |
30493
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3183
252.5 IPS |
|
|
Object Detection (HP)
|
100% |
3182
252.4 IPS |
|
|
Object Detection (Q)
|
88% |
9900
793.6 IPS |
|
|
Face Detection (SP)
|
100% |
6100
72.5 IPS |
|
|
Face Detection (HP)
|
100% |
6181
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
24666
293.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9540
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9548
73.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
25962
202.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20864
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21109
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
80612
103.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4445
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4382
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15422
571.1 IPS |
|
|
Text Classification (SP)
|
100% |
3879
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
92% |
5977
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4697
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6107
105.2 IPS |
