ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515UA_M515UA
Geekbench AI Score
1009
Single Precision Score
512
Half Precision Score
1240
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | anandhu-s |
| Upload Date | December 25 2025 01:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U |
| 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% |
693
129.0 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.5 IPS |
|
|
Image Classification (Q)
|
96% |
946
176.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
346
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
865
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1654
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1331
1.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
2527
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
893
70.8 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
58% |
603
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
553
6.58 IPS |
|
|
Face Detection (Q)
|
96% |
2424
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2259
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
736
5.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
2347
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4145
5.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3582
4.60 IPS |
|
|
Style Transfer (Q)
|
87% |
4578
5.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
553
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
883
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
481
642.0 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.8 IPS |
|
|
Text Classification (Q)
|
97% |
345
462.8 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (Q)
|
68% |
869
16.8 IPS |
