OPPO PCLM50
Geekbench ML Score
585
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 29 2025 07:47 PM |
| Views | 1 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
393
42.1 IPS |
|
|
Image Classification (F16)
|
100% |
637
68.2 IPS |
|
|
Image Classification (I8)
|
80% |
558
59.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
901
5.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
1527
9.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
1375
8.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
458
1.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
811
3.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
807
3.27 IPS |
|
|
Object Detection (F32)
|
100% |
335
11.8 IPS |
|
|
Object Detection (F16)
|
99% |
460
16.2 IPS |
|
|
Object Detection (I8)
|
53% |
414
14.5 IPS |
|
|
Face Detection (F32)
|
100% |
700
8.04 IPS |
|
|
Face Detection (F16)
|
97% |
1143
13.1 IPS |
|
|
Face Detection (I8)
|
76% |
1004
11.5 IPS |
|
|
Text Classification (F32)
|
100% |
323
127.9 IPS |
|
|
Text Classification (F16)
|
98% |
321
127.0 IPS |
|
|
Machine Translation (F32)
|
100% |
301
46.4 IPS |
|
|
Machine Translation (F16)
|
100% |
300
46.3 IPS |
