ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_X515EA
Geekbench AI Score
1136
Single Precision Score
647
Half Precision Score
2686
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | goingshmooth |
| Upload Date | September 11 2025 03:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1115G4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_X515EA |
| Motherboard | ASUSTeK COMPUTER INC. X515EA |
| Power Plan | ASUS Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
825
153.5 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (Q)
|
99% |
2011
375.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
2238
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1410
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
4981
5.84 IPS |
|
|
Object Detection (SP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.1 IPS |
|
|
Object Detection (Q)
|
86% |
1921
154.4 IPS |
|
|
Face Detection (SP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (Q)
|
97% |
3900
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1983
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
947
7.29 IPS |
|
|
Depth Estimation (Q)
|
78% |
4941
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3549
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
2752
3.54 IPS |
|
|
Style Transfer (Q)
|
98% |
6462
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2401
88.9 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
558
744.6 IPS |
|
|
Text Classification (Q)
|
97% |
1142
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
65% |
1333
26.8 IPS |
