ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_X515EA
Geekbench AI Score
2223
Single Precision Score
3337
Half Precision Score
5239
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | goingshmooth |
| Upload Date | September 11 2025 03:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
2094
389.5 IPS |
|
|
Image Classification (Q)
|
99% |
2860
533.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3246
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4071
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4790
5.59 IPS |
|
|
Pose Estimation (HP)
|
99% |
3568
4.16 IPS |
|
|
Pose Estimation (Q)
|
97% |
14052
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (HP)
|
99% |
2087
165.5 IPS |
|
|
Object Detection (Q)
|
90% |
3443
275.3 IPS |
|
|
Face Detection (SP)
|
100% |
2891
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
5636
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
9531
113.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4821
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8269
63.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11259
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12013
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17608
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31807
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6204
229.7 IPS |
|
|
Text Classification (SP)
|
71% |
781
1.13 KIPS |
|
|
Text Classification (HP)
|
71% |
919
1.33 KIPS |
|
|
Text Classification (Q)
|
92% |
898
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1433
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1457
25.2 IPS |
