OnePlus LE2125
Geekbench ML Score
1721
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | sjholland |
| Upload Date | November 03 2021 11:09 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | OnePlus LE2125 |
| Model ID | OnePlus LE2125 |
| Motherboard | lahaina |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1373
147.1 IPS |
|
|
Image Classification (F16)
|
100% |
2038
218.4 IPS |
|
|
Image Classification (I8)
|
80% |
1818
194.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
3268
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
5099
31.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
4862
30.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1536
6.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
2848
11.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
2843
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
696
24.4 IPS |
|
|
Object Detection (F16)
|
99% |
778
27.3 IPS |
|
|
Object Detection (I8)
|
53% |
791
27.8 IPS |
|
|
Face Detection (F32)
|
100% |
2449
28.1 IPS |
|
|
Face Detection (F16)
|
97% |
3933
45.2 IPS |
|
|
Face Detection (I8)
|
75% |
3560
40.9 IPS |
|
|
Text Classification (F32)
|
100% |
779
308.3 IPS |
|
|
Text Classification (F16)
|
98% |
901
356.2 IPS |
|
|
Machine Translation (F32)
|
100% |
757
116.7 IPS |
|
|
Machine Translation (F16)
|
100% |
757
116.6 IPS |
