ASUSTeK COMPUTER INC. X555LF
Geekbench AI Score
638
Single Precision Score
645
Half Precision Score
723
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | miloschdg |
| Upload Date | May 01 2025 08:17 AM |
| Views | 5 |
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% |
351
65.2 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
100% |
434
80.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
487
7.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
880
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (Q)
|
87% |
438
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
1201
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
952
7.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
956
7.36 IPS |
|
|
Depth Estimation (Q)
|
81% |
1113
8.78 IPS |
|
|
Style Transfer (SP)
|
100% |
2124
2.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2147
2.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2524
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
530
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.0 IPS |
|
|
Text Classification (HP)
|
100% |
477
636.4 IPS |
|
|
Text Classification (Q)
|
91% |
327
440.1 IPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
100% |
830
14.3 IPS |
