OPPO PAFM00
Geekbench ML Score
784
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 05 2025 07:15 AM |
| Views | 15 |
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% |
566
60.7 IPS |
|
|
Image Classification (F16)
|
100% |
876
93.9 IPS |
|
|
Image Classification (I8)
|
80% |
784
84.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1375
8.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
2241
13.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1936
12.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
711
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
1289
5.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
1268
5.13 IPS |
|
|
Object Detection (F32)
|
100% |
432
15.2 IPS |
|
|
Object Detection (F16)
|
99% |
622
21.8 IPS |
|
|
Object Detection (I8)
|
53% |
559
19.6 IPS |
|
|
Face Detection (F32)
|
100% |
1107
12.7 IPS |
|
|
Face Detection (F16)
|
97% |
1703
19.6 IPS |
|
|
Face Detection (I8)
|
76% |
1448
16.6 IPS |
|
|
Text Classification (F32)
|
100% |
362
143.3 IPS |
|
|
Text Classification (F16)
|
98% |
443
175.1 IPS |
|
|
Machine Translation (F32)
|
100% |
238
36.6 IPS |
|
|
Machine Translation (F16)
|
100% |
237
36.5 IPS |
