Realme X2 Pro
Geekbench ML Score
337
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 18 2024 07:38 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Realme X2 Pro |
| Model ID | realme RMX1931 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
283
30.4 IPS |
|
|
Image Classification (F16)
|
100% |
211
22.6 IPS |
|
|
Image Classification (I8)
|
81% |
172
18.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
521
3.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
523
3.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
781
4.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
220
0.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
114
0.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
211
0.86 IPS |
|
|
Object Detection (F32)
|
100% |
494
17.3 IPS |
|
|
Object Detection (F16)
|
100% |
488
17.1 IPS |
|
|
Object Detection (I8)
|
52% |
330
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
529
6.07 IPS |
|
|
Face Detection (F16)
|
100% |
532
6.11 IPS |
|
|
Face Detection (I8)
|
75% |
487
5.60 IPS |
|
|
Text Classification (F32)
|
100% |
252
99.6 IPS |
|
|
Text Classification (F16)
|
100% |
267
105.5 IPS |
|
|
Machine Translation (F32)
|
100% |
352
54.3 IPS |
|
|
Machine Translation (F16)
|
100% |
357
55.0 IPS |
