ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X509FL_F509FL
Geekbench AI Score
848
Single Precision Score
469
Half Precision Score
1158
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | March 26 2025 05:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-8145U |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X509FL_F509FL |
| Motherboard | ASUSTeK COMPUTER INC. X509FL |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8145U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
548
101.9 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.3 IPS |
|
|
Image Classification (Q)
|
96% |
856
159.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
702
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1091
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
844
0.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
1804
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (Q)
|
58% |
609
66.6 IPS |
|
|
Face Detection (SP)
|
100% |
1208
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (Q)
|
96% |
1836
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1446
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
638
4.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
1995
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2887
3.71 IPS |
|
|
Style Transfer (HP)
|
100% |
2071
2.66 IPS |
|
|
Style Transfer (Q)
|
87% |
3575
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
852
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
590
788.1 IPS |
|
|
Text Classification (HP)
|
100% |
361
481.6 IPS |
|
|
Text Classification (Q)
|
97% |
646
865.2 IPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (Q)
|
68% |
917
17.7 IPS |
