ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606UA_M5606UA
Geekbench AI Score
2665
Single Precision Score
2648
Half Precision Score
6961
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jetienne |
| Upload Date | December 16 2024 04:36 AM |
| Views | 2 |
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% |
1969
366.2 IPS |
|
|
Image Classification (HP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (Q)
|
100% |
4693
872.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1971
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3068
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
13041
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
100% |
1835
145.5 IPS |
|
|
Object Detection (Q)
|
88% |
4356
349.1 IPS |
|
|
Face Detection (SP)
|
100% |
3797
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
4133
49.1 IPS |
|
|
Face Detection (Q)
|
100% |
12542
149.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4067
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4300
33.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
12116
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11081
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8268
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40055
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1847
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8098
299.9 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
3163
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2425
41.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3263
56.2 IPS |
