OPPO PGFM10
Geekbench ML Score
1291
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 08 2023 06:46 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO PGFM10 |
| Model ID | OPPO PGFM10 |
| Motherboard | k6985v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
596
63.9 IPS |
|
|
Image Classification (F16)
|
100% |
523
56.1 IPS |
|
|
Image Classification (I8)
|
81% |
559
59.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3654
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
6140
37.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
6776
41.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1535
6.21 IPS |
|
|
Pose Estimation (F16)
|
0% |
4698
19.0 IPS |
|
|
Pose Estimation (I8)
|
0% |
4472
18.1 IPS |
|
|
Object Detection (F32)
|
100% |
682
23.9 IPS |
|
|
Object Detection (F16)
|
99% |
654
23.0 IPS |
|
|
Object Detection (I8)
|
54% |
672
23.6 IPS |
|
|
Face Detection (F32)
|
100% |
2463
28.3 IPS |
|
|
Face Detection (F16)
|
97% |
2811
32.3 IPS |
|
|
Face Detection (I8)
|
75% |
2571
29.5 IPS |
|
|
Text Classification (F32)
|
100% |
213
84.1 IPS |
|
|
Text Classification (F16)
|
46% |
244
96.5 IPS |
|
|
Machine Translation (F32)
|
100% |
731
112.7 IPS |
|
|
Machine Translation (F16)
|
100% |
742
114.3 IPS |
