OnePlus LE2125
Geekbench ML Score
453
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | sjholland |
| Upload Date | November 03 2021 11:07 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
431
46.2 IPS |
|
|
Image Classification (F16)
|
100% |
414
44.3 IPS |
|
|
Image Classification (I8)
|
81% |
213
22.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
646
3.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
639
3.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
909
5.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
303
1.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
300
1.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
257
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
437
15.3 IPS |
|
|
Object Detection (F16)
|
100% |
456
16.0 IPS |
|
|
Object Detection (I8)
|
52% |
294
10.3 IPS |
|
|
Face Detection (F32)
|
100% |
673
7.73 IPS |
|
|
Face Detection (F16)
|
100% |
650
7.47 IPS |
|
|
Face Detection (I8)
|
75% |
524
6.02 IPS |
|
|
Text Classification (F32)
|
100% |
342
135.4 IPS |
|
|
Text Classification (F16)
|
100% |
345
136.3 IPS |
|
|
Machine Translation (F32)
|
100% |
759
116.9 IPS |
|
|
Machine Translation (F16)
|
100% |
758
116.8 IPS |
