ASUSTeK COMPUTER INC. X555LF
Geekbench AI Score
640
Single Precision Score
642
Half Precision Score
724
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | miloschdg |
| Upload Date | May 01 2025 08:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-5010U CPU @ 2.10GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | ASUSTeK COMPUTER INC. X555LF |
| Motherboard | ASUSTeK COMPUTER INC. X555LF |
| CPU Information | |
|---|---|
| Name | Intel Core i3-5010U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
100% |
435
80.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
424
6.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (Q)
|
99% |
495
8.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
675
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
674
0.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
882
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
87% |
438
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
1180
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
951
7.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
947
7.30 IPS |
|
|
Depth Estimation (Q)
|
81% |
1111
8.78 IPS |
|
|
Style Transfer (SP)
|
100% |
2120
2.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2092
2.69 IPS |
|
|
Style Transfer (Q)
|
98% |
2536
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
437
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
432
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
532
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
482
642.8 IPS |
|
|
Text Classification (HP)
|
100% |
499
666.3 IPS |
|
|
Text Classification (Q)
|
91% |
326
437.8 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
100% |
834
14.4 IPS |
