OPPO PAFM00
Geekbench ML Score
295
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 07 2025 02:55 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% |
294
31.5 IPS |
|
|
Image Classification (F16)
|
100% |
308
33.0 IPS |
|
|
Image Classification (I8)
|
80% |
467
50.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
260
1.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
266
1.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
370
2.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
285
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
673
2.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
214
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
501
17.6 IPS |
|
|
Object Detection (F16)
|
100% |
619
21.7 IPS |
|
|
Object Detection (I8)
|
52% |
645
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
602
6.92 IPS |
|
|
Face Detection (F16)
|
100% |
682
7.84 IPS |
|
|
Face Detection (I8)
|
75% |
1273
14.6 IPS |
|
|
Text Classification (F32)
|
100% |
19
7.43 IPS |
|
|
Text Classification (F16)
|
100% |
18
7.23 IPS |
|
|
Machine Translation (F32)
|
100% |
238
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
238
36.6 IPS |
