ASUSTeK COMPUTER INC. X540LJ
Geekbench AI Score
786
Single Precision Score
784
Half Precision Score
862
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | F0xMaster |
| Upload Date | December 12 2025 06:35 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-5200U CPU @ 2.20GHz |
| 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% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (Q)
|
100% |
539
100.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
609
9.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
932
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
1111
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (Q)
|
87% |
553
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
1474
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1204
9.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
1204
9.28 IPS |
|
|
Depth Estimation (Q)
|
81% |
1383
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2803
3.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2815
3.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3182
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
568
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
570
21.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
668
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
642
857.0 IPS |
|
|
Text Classification (HP)
|
100% |
633
844.5 IPS |
|
|
Text Classification (Q)
|
91% |
286
384.4 IPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
100% |
911
15.7 IPS |
