ASUSTeK COMPUTER INC. X555LD
Geekbench AI Score
738
Single Precision Score
735
Half Precision Score
825
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | F0xMaster |
| Upload Date | December 23 2025 02:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4210U CPU @ 1.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. X555LD |
| Motherboard | ASUSTeK COMPUTER INC. X555LD |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4210U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
100% |
521
96.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
581
9.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
856
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
865
1.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
1075
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
87% |
534
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
1432
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1094
8.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
1093
8.42 IPS |
|
|
Depth Estimation (Q)
|
81% |
1335
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2708
3.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2716
3.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3068
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
553
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
649
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
594
793.5 IPS |
|
|
Text Classification (HP)
|
100% |
596
795.3 IPS |
|
|
Text Classification (Q)
|
91% |
268
359.7 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
100% |
834
14.4 IPS |
