OPPO PAFM00
Geekbench ML Score
794
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 07 2025 02:51 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | OPPO PAFM00 |
| Model ID | OPPO PAFM00 |
| Motherboard | sdm845 |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
574
61.5 IPS |
|
|
Image Classification (F16)
|
100% |
879
94.2 IPS |
|
|
Image Classification (I8)
|
80% |
776
83.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1367
8.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
2262
14.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
2034
12.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
718
2.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
1283
5.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
1273
5.15 IPS |
|
|
Object Detection (F32)
|
100% |
417
14.6 IPS |
|
|
Object Detection (F16)
|
99% |
619
21.7 IPS |
|
|
Object Detection (I8)
|
53% |
572
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
1118
12.8 IPS |
|
|
Face Detection (F16)
|
97% |
1710
19.6 IPS |
|
|
Face Detection (I8)
|
76% |
1447
16.6 IPS |
|
|
Text Classification (F32)
|
100% |
426
168.3 IPS |
|
|
Text Classification (F16)
|
98% |
447
176.8 IPS |
|
|
Machine Translation (F32)
|
100% |
237
36.5 IPS |
|
|
Machine Translation (F16)
|
100% |
237
36.5 IPS |
