OPPO CPH2531
Geekbench ML Score
603
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 08 2023 10:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2531 |
| Model ID | OPPO CPH2531 |
| Motherboard | k6877v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TTZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
276
29.5 IPS |
|
|
Image Classification (F16)
|
100% |
378
40.5 IPS |
|
|
Image Classification (I8)
|
80% |
354
37.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1084
6.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
1970
12.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1976
12.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
366
1.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
929
3.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
920
3.72 IPS |
|
|
Object Detection (F32)
|
100% |
359
12.6 IPS |
|
|
Object Detection (F16)
|
100% |
393
13.8 IPS |
|
|
Object Detection (I8)
|
54% |
352
12.4 IPS |
|
|
Face Detection (F32)
|
100% |
925
10.6 IPS |
|
|
Face Detection (F16)
|
97% |
1544
17.7 IPS |
|
|
Face Detection (I8)
|
75% |
1224
14.1 IPS |
|
|
Text Classification (F32)
|
100% |
368
145.5 IPS |
|
|
Text Classification (F16)
|
98% |
428
169.3 IPS |
|
|
Machine Translation (F32)
|
100% |
337
51.9 IPS |
|
|
Machine Translation (F16)
|
100% |
300
46.3 IPS |
