ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_X515EA
Geekbench AI Score
1156
Single Precision Score
647
Half Precision Score
2651
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | goingshmooth |
| Upload Date | September 11 2025 03:15 PM |
| Views | 6 |
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% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
99% |
1981
369.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
549
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
2207
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1459
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
4879
5.72 IPS |
|
|
Object Detection (SP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
86% |
2046
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
684
8.13 IPS |
|
|
Face Detection (Q)
|
97% |
3756
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1994
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
921
7.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
4573
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3590
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2698
3.47 IPS |
|
|
Style Transfer (Q)
|
98% |
6563
8.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
699
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2211
81.9 IPS |
|
|
Text Classification (SP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
570
760.5 IPS |
|
|
Text Classification (Q)
|
97% |
1116
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
65% |
1416
28.5 IPS |
