Realme X2 Pro
Geekbench ML Score
1291
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 18 2024 07:41 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
795
85.2 IPS |
|
|
Image Classification (F16)
|
100% |
1506
161.3 IPS |
|
|
Image Classification (I8)
|
80% |
1334
142.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2003
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3681
22.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
3638
22.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
995
4.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
1827
7.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
1792
7.25 IPS |
|
|
Object Detection (F32)
|
100% |
912
32.0 IPS |
|
|
Object Detection (F16)
|
99% |
1405
49.3 IPS |
|
|
Object Detection (I8)
|
53% |
1359
47.7 IPS |
|
|
Face Detection (F32)
|
100% |
1620
18.6 IPS |
|
|
Face Detection (F16)
|
97% |
2870
33.0 IPS |
|
|
Face Detection (I8)
|
76% |
2587
29.7 IPS |
|
|
Text Classification (F32)
|
100% |
569
225.1 IPS |
|
|
Text Classification (F16)
|
98% |
608
240.4 IPS |
|
|
Machine Translation (F32)
|
100% |
359
55.4 IPS |
|
|
Machine Translation (F16)
|
100% |
353
54.4 IPS |
