ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_X515EA
Geekbench AI Score
1197
Single Precision Score
695
Half Precision Score
2754
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | goingshmooth |
| Upload Date | August 28 2025 12:38 PM |
| Views | 8 |
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% |
820
152.5 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.6 IPS |
|
|
Image Classification (Q)
|
99% |
2174
405.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
2081
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1560
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1272
1.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
5245
6.15 IPS |
|
|
Object Detection (SP)
|
100% |
781
62.0 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
86% |
1981
159.2 IPS |
|
|
Face Detection (SP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
97% |
3926
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2077
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1020
7.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
4801
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3836
4.93 IPS |
|
|
Style Transfer (HP)
|
100% |
2964
3.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6712
8.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
722
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2544
94.2 IPS |
|
|
Text Classification (SP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
543
725.2 IPS |
|
|
Text Classification (Q)
|
97% |
1131
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.02 IPS |
|
|
Machine Translation (Q)
|
65% |
1468
29.5 IPS |
