OnePlus LE2123
Geekbench ML Score
445
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2021 07:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | OnePlus LE2123 |
| Model ID | OnePlus LE2123 |
| 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 | 10.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
422
45.2 IPS |
|
|
Image Classification (F16)
|
100% |
441
47.3 IPS |
|
|
Image Classification (I8)
|
81% |
206
22.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
650
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
653
4.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
889
5.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
296
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
292
1.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
246
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
463
16.3 IPS |
|
|
Object Detection (F16)
|
100% |
457
16.0 IPS |
|
|
Object Detection (I8)
|
52% |
277
9.72 IPS |
|
|
Face Detection (F32)
|
100% |
637
7.32 IPS |
|
|
Face Detection (F16)
|
100% |
644
7.40 IPS |
|
|
Face Detection (I8)
|
75% |
506
5.81 IPS |
|
|
Text Classification (F32)
|
100% |
331
131.1 IPS |
|
|
Text Classification (F16)
|
100% |
324
128.2 IPS |
|
|
Machine Translation (F32)
|
100% |
717
110.6 IPS |
|
|
Machine Translation (F16)
|
100% |
747
115.1 IPS |
