OPPO PAFM00
Geekbench ML Score
250
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 03 2025 03:01 AM |
| Views | 6 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
161
17.2 IPS |
|
|
Image Classification (F16)
|
100% |
162
17.4 IPS |
|
|
Image Classification (I8)
|
81% |
163
17.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
340
2.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
341
2.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
683
4.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
142
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
138
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
198
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
324
11.4 IPS |
|
|
Object Detection (F16)
|
100% |
328
11.5 IPS |
|
|
Object Detection (I8)
|
52% |
308
10.8 IPS |
|
|
Face Detection (F32)
|
100% |
318
3.66 IPS |
|
|
Face Detection (F16)
|
100% |
317
3.64 IPS |
|
|
Face Detection (I8)
|
75% |
430
4.94 IPS |
|
|
Text Classification (F32)
|
100% |
191
75.6 IPS |
|
|
Text Classification (F16)
|
100% |
196
77.4 IPS |
|
|
Machine Translation (F32)
|
100% |
238
36.7 IPS |
|
|
Machine Translation (F16)
|
100% |
236
36.4 IPS |
