OPPO CPH2305
Geekbench ML Score
1631
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 12:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2305 |
| Model ID | OPPO CPH2305 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1156
123.8 IPS |
|
|
Image Classification (F16)
|
100% |
1626
174.2 IPS |
|
|
Image Classification (I8)
|
80% |
1578
169.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3724
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5603
34.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
4270
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2008
8.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
3772
15.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
3746
15.2 IPS |
|
|
Object Detection (F32)
|
100% |
674
23.7 IPS |
|
|
Object Detection (F16)
|
99% |
759
26.6 IPS |
|
|
Object Detection (I8)
|
53% |
736
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
2342
26.9 IPS |
|
|
Face Detection (F16)
|
97% |
3941
45.3 IPS |
|
|
Face Detection (I8)
|
75% |
2887
33.2 IPS |
|
|
Text Classification (F32)
|
100% |
375
148.5 IPS |
|
|
Text Classification (F16)
|
98% |
348
137.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1055
162.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1055
162.6 IPS |
