ASUSTeK COMPUTER INC. X555LD
Geekbench AI Score
525
Single Precision Score
312
Half Precision Score
552
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | F0xMaster |
| Upload Date | December 23 2025 02:39 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4210U |
| 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% |
269
50.0 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
96% |
378
70.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
382
6.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
644
0.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
864
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
58% |
277
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (HP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (Q)
|
96% |
987
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
967
7.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
456
3.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
918
7.32 IPS |
|
|
Style Transfer (SP)
|
100% |
1787
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1407
1.81 IPS |
|
|
Style Transfer (Q)
|
87% |
1820
2.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
481
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.2 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.7 IPS |
|
|
Text Classification (Q)
|
97% |
192
257.3 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.61 IPS |
|
|
Machine Translation (Q)
|
68% |
500
9.67 IPS |
