ASUSTeK COMPUTER INC. X555LF
Geekbench AI Score
502
Single Precision Score
206
Half Precision Score
584
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | miloschdg |
| Upload Date | May 01 2025 08:57 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-5010U |
| 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% |
269
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.4 IPS |
|
|
Image Classification (Q)
|
93% |
410
76.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
97
1.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
345
5.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
592
0.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
842
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.19 IPS |
|
|
Object Detection (Q)
|
58% |
289
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
594
7.05 IPS |
|
|
Face Detection (HP)
|
100% |
136
1.61 IPS |
|
|
Face Detection (Q)
|
96% |
1020
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
852
6.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
299
2.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
933
7.43 IPS |
|
|
Style Transfer (SP)
|
100% |
1765
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1386
1.78 IPS |
|
|
Style Transfer (Q)
|
87% |
1872
2.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
421
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
424
565.4 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.5 IPS |
|
|
Text Classification (Q)
|
97% |
347
464.7 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.94 IPS |
|
|
Machine Translation (Q)
|
68% |
518
10.00 IPS |
