OPPO PCLM50
Geekbench ML Score
374
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 29 2025 07:54 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OPPO PCLM50 |
| Model ID | OPPO PCLM50 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
300
32.2 IPS |
|
|
Image Classification (F16)
|
100% |
401
43.0 IPS |
|
|
Image Classification (I8)
|
80% |
1489
159.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
424
2.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
524
3.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
3218
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
371
1.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
2083
8.43 IPS |
|
|
Object Detection (F32)
|
100% |
340
11.9 IPS |
|
|
Object Detection (F16)
|
100% |
409
14.3 IPS |
|
|
Object Detection (I8)
|
52% |
1008
35.4 IPS |
|
|
Face Detection (F32)
|
100% |
416
4.78 IPS |
|
|
Face Detection (F16)
|
97% |
510
5.85 IPS |
|
|
Face Detection (I8)
|
40% |
2419
27.8 IPS |
|
|
Text Classification (F32)
|
54% |
9
3.62 IPS |
|
|
Text Classification (F16)
|
54% |
9
3.57 IPS |
|
|
Machine Translation (F32)
|
100% |
299
46.0 IPS |
|
|
Machine Translation (F16)
|
100% |
300
46.2 IPS |
