ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_X515EA
Geekbench AI Score
1530
Single Precision Score
1536
Half Precision Score
4323
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | goingshmooth |
| Upload Date | August 28 2025 12:32 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i3-1115G4 @ 3.00GHz |
| 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% |
931
173.2 IPS |
|
|
Image Classification (HP)
|
100% |
927
172.4 IPS |
|
|
Image Classification (Q)
|
100% |
2920
543.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2565
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1715
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1678
1.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
6601
7.73 IPS |
|
|
Object Detection (SP)
|
100% |
881
69.9 IPS |
|
|
Object Detection (HP)
|
100% |
893
70.8 IPS |
|
|
Object Detection (Q)
|
88% |
2841
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (Q)
|
100% |
6639
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2341
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2351
18.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
7265
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4575
5.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4595
5.91 IPS |
|
|
Style Transfer (Q)
|
98% |
17201
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3601
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
1204
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2781
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1954
33.7 IPS |
