ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_F515EA
Geekbench AI Score
1130
Single Precision Score
604
Half Precision Score
2470
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | December 27 2025 05:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_F515EA |
| Motherboard | ASUSTeK COMPUTER INC. X515EA |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
782
145.4 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (Q)
|
99% |
2099
391.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
2578
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1509
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1257
1.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
5734
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
845
67.0 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (Q)
|
86% |
2084
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
1873
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
699
8.31 IPS |
|
|
Face Detection (Q)
|
97% |
3606
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2026
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
884
6.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
4835
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3810
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
2988
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
8230
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
777
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2218
82.1 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.8 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.9 IPS |
|
|
Text Classification (Q)
|
97% |
755
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
65% |
546
11.0 IPS |
