ASUSTeK COMPUTER INC. X540LJ
Geekbench AI Score
599
Single Precision Score
355
Half Precision Score
607
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | F0xMaster |
| Upload Date | December 12 2025 06:29 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-5200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. X540LJ |
| Motherboard | ASUSTeK COMPUTER INC. X540LJ |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (Q)
|
96% |
456
85.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
447
7.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
847
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
940
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (Q)
|
58% |
302
33.0 IPS |
|
|
Face Detection (SP)
|
100% |
787
9.35 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.43 IPS |
|
|
Face Detection (Q)
|
96% |
1060
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1069
8.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
497
3.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
1034
8.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1996
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1598
2.05 IPS |
|
|
Style Transfer (Q)
|
87% |
1964
2.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
508
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
517
689.8 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.9 IPS |
|
|
Text Classification (Q)
|
97% |
198
265.6 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.41 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
68% |
549
10.6 IPS |
