OPPO CPH2207
Geekbench ML Score
786
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 15 2022 01:20 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OPPO CPH2207 |
| Model ID | OPPO CPH2207 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
780
83.5 IPS |
|
|
Image Classification (F16)
|
100% |
1320
141.4 IPS |
|
|
Image Classification (I8)
|
80% |
2512
269.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
918
5.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
1112
6.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
4985
30.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
589
2.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
2147
8.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
3611
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
568
19.9 IPS |
|
|
Object Detection (F16)
|
100% |
570
20.0 IPS |
|
|
Object Detection (I8)
|
52% |
1186
41.6 IPS |
|
|
Face Detection (F32)
|
100% |
1019
11.7 IPS |
|
|
Face Detection (F16)
|
97% |
1194
13.7 IPS |
|
|
Face Detection (I8)
|
75% |
4501
51.7 IPS |
|
|
Text Classification (F32)
|
54% |
16
6.13 IPS |
|
|
Text Classification (F16)
|
54% |
16
6.17 IPS |
|
|
Machine Translation (F32)
|
100% |
567
87.4 IPS |
|
|
Machine Translation (F16)
|
100% |
566
87.3 IPS |
