Realme X2 Pro
Geekbench ML Score
817
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 18 2024 07:43 AM |
| Views | 1 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
714
76.5 IPS |
|
|
Image Classification (F16)
|
100% |
990
106.0 IPS |
|
|
Image Classification (I8)
|
80% |
2319
248.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
964
5.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
1154
7.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
5013
31.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
369
1.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
928
3.75 IPS |
|
|
Pose Estimation (I8)
|
80% |
3350
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
992
34.8 IPS |
|
|
Object Detection (F16)
|
100% |
1326
46.5 IPS |
|
|
Object Detection (I8)
|
52% |
2496
87.6 IPS |
|
|
Face Detection (F32)
|
100% |
1045
12.0 IPS |
|
|
Face Detection (F16)
|
97% |
1352
15.5 IPS |
|
|
Face Detection (I8)
|
75% |
3710
42.6 IPS |
|
|
Text Classification (F32)
|
54% |
31
12.3 IPS |
|
|
Text Classification (F16)
|
54% |
30
12.1 IPS |
|
|
Machine Translation (F32)
|
100% |
358
55.1 IPS |
|
|
Machine Translation (F16)
|
100% |
362
55.8 IPS |
