OPPO CPH2185
Geekbench ML Score
80
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2023 10:56 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | OPPO CPH2185 |
| Model ID | OPPO CPH2185 |
| Motherboard | oppo6765 |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 1.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
39
4.14 IPS |
|
|
Image Classification (F16)
|
100% |
44
4.70 IPS |
|
|
Image Classification (I8)
|
81% |
244
26.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
112
0.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
111
0.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
415
2.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
68
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
119
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
71
2.50 IPS |
|
|
Object Detection (F16)
|
100% |
53
1.84 IPS |
|
|
Object Detection (I8)
|
52% |
188
6.59 IPS |
|
|
Face Detection (F32)
|
100% |
129
1.48 IPS |
|
|
Face Detection (F16)
|
100% |
79
0.91 IPS |
|
|
Face Detection (I8)
|
75% |
354
4.06 IPS |
|
|
Text Classification (F32)
|
100% |
67
26.5 IPS |
|
|
Text Classification (F16)
|
100% |
62
24.6 IPS |
|
|
Machine Translation (F32)
|
100% |
11
1.71 IPS |
|
|
Machine Translation (F16)
|
100% |
11
1.72 IPS |
