OPPO PAFM00
Geekbench ML Score
298
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 03 2025 03:56 AM |
| Views | 7 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
280
30.1 IPS |
|
|
Image Classification (F16)
|
100% |
312
33.4 IPS |
|
|
Image Classification (I8)
|
80% |
487
52.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
269
1.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
272
1.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
370
2.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
284
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
673
2.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
218
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
490
17.2 IPS |
|
|
Object Detection (F16)
|
100% |
628
22.1 IPS |
|
|
Object Detection (I8)
|
52% |
661
23.2 IPS |
|
|
Face Detection (F32)
|
100% |
600
6.90 IPS |
|
|
Face Detection (F16)
|
100% |
700
8.04 IPS |
|
|
Face Detection (I8)
|
75% |
1319
15.2 IPS |
|
|
Text Classification (F32)
|
100% |
19
7.33 IPS |
|
|
Text Classification (F16)
|
100% |
19
7.45 IPS |
|
|
Machine Translation (F32)
|
100% |
235
36.1 IPS |
|
|
Machine Translation (F16)
|
100% |
237
36.5 IPS |
