OPPO CPH1931
Geekbench ML Score
213
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 28 2024 11:57 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | OPPO CPH1931 |
| Model ID | OPPO CPH1931 |
| Motherboard | trinket |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
129
13.9 IPS |
|
|
Image Classification (F16)
|
100% |
237
25.4 IPS |
|
|
Image Classification (I8)
|
80% |
206
22.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
274
1.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
531
3.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
490
3.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
123
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
229
0.93 IPS |
|
|
Pose Estimation (I8)
|
80% |
228
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
119
4.19 IPS |
|
|
Object Detection (F16)
|
99% |
196
6.88 IPS |
|
|
Object Detection (I8)
|
53% |
164
5.75 IPS |
|
|
Face Detection (F32)
|
100% |
267
3.07 IPS |
|
|
Face Detection (F16)
|
97% |
472
5.43 IPS |
|
|
Face Detection (I8)
|
76% |
432
4.96 IPS |
|
|
Text Classification (F32)
|
100% |
177
69.9 IPS |
|
|
Text Classification (F16)
|
98% |
194
76.7 IPS |
|
|
Machine Translation (F32)
|
100% |
95
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
95
14.7 IPS |
