ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515UA_M515UA
Geekbench AI Score
1865
Single Precision Score
1848
Half Precision Score
2195
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | anandhu-s |
| Upload Date | December 25 2025 01:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515UA_M515UA |
| Motherboard | ASUSTeK COMPUTER INC. X515UA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (Q)
|
100% |
1613
300.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1889
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2473
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2292
2.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
3037
3.56 IPS |
|
|
Object Detection (SP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (HP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (Q)
|
87% |
1345
107.9 IPS |
|
|
Face Detection (SP)
|
100% |
2265
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2271
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
4070
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3197
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3013
23.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
3718
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6858
8.82 IPS |
|
|
Style Transfer (HP)
|
100% |
6853
8.81 IPS |
|
|
Style Transfer (Q)
|
98% |
9093
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1446
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1911
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
1238
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (Q)
|
91% |
520
699.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1529
26.3 IPS |
