ASUSTeK COMPUTER INC. X555LF
Geekbench AI Score
339
Single Precision Score
339
Half Precision Score
201
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | miloschdg |
| Upload Date | May 01 2025 08:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
206
38.4 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.6 IPS |
|
|
Image Classification (Q)
|
99% |
121
22.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
146
2.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
368
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
295
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
85% |
131
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (HP)
|
100% |
465
5.52 IPS |
|
|
Face Detection (Q)
|
97% |
296
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
432
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
428
3.30 IPS |
|
|
Depth Estimation (Q)
|
63% |
266
2.49 IPS |
|
|
Style Transfer (SP)
|
100% |
665
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
659
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
662
0.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
228
8.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
229
8.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
172
6.36 IPS |
|
|
Text Classification (SP)
|
100% |
320
427.5 IPS |
|
|
Text Classification (HP)
|
100% |
314
418.7 IPS |
|
|
Text Classification (Q)
|
92% |
132
177.2 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (Q)
|
58% |
135
3.18 IPS |
