ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_X515EA
Geekbench AI Score
1179
Single Precision Score
688
Half Precision Score
2748
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | goingshmooth |
| Upload Date | August 28 2025 12:46 PM |
| Views | 14 |
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% |
826
153.5 IPS |
|
|
Image Classification (HP)
|
100% |
308
57.2 IPS |
|
|
Image Classification (Q)
|
99% |
2122
395.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
2294
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1256
1.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
5219
6.12 IPS |
|
|
Object Detection (SP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
86% |
1913
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (Q)
|
97% |
3837
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2007
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
975
7.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
4824
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3736
4.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2918
3.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6603
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
749
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2468
91.4 IPS |
|
|
Text Classification (SP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
558
744.8 IPS |
|
|
Text Classification (Q)
|
97% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (Q)
|
65% |
1471
29.6 IPS |
