OPPO PEMM00
Geekbench ML Score
393
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | July 17 2025 12:27 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | OPPO PEMM00 |
| Model ID | OPPO PEMM00 |
| Motherboard | oppo6833 |
| CPU Information | |
|---|---|
| Name | ARM MT6833V/ZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
212
22.7 IPS |
|
|
Image Classification (F16)
|
100% |
241
25.8 IPS |
|
|
Image Classification (I8)
|
80% |
229
24.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
530
3.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
1024
6.33 IPS |
|
|
Image Segmentation (I8)
|
89% |
980
6.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
238
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
481
1.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
474
1.92 IPS |
|
|
Object Detection (F32)
|
100% |
210
7.36 IPS |
|
|
Object Detection (F16)
|
100% |
372
13.1 IPS |
|
|
Object Detection (I8)
|
54% |
315
11.0 IPS |
|
|
Face Detection (F32)
|
100% |
562
6.46 IPS |
|
|
Face Detection (F16)
|
97% |
999
11.5 IPS |
|
|
Face Detection (I8)
|
75% |
875
10.0 IPS |
|
|
Text Classification (F32)
|
100% |
285
112.5 IPS |
|
|
Text Classification (F16)
|
98% |
277
109.4 IPS |
|
|
Machine Translation (F32)
|
100% |
251
38.7 IPS |
|
|
Machine Translation (F16)
|
100% |
250
38.5 IPS |
