OPPO OPG01
Geekbench ML Score
394
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 03 2026 09:42 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | OPPO OPG01 |
| Model ID | OPPO OPG01 |
| 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 | 11.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
296
31.7 IPS |
|
|
Image Classification (F16)
|
100% |
326
34.9 IPS |
|
|
Image Classification (I8)
|
81% |
203
21.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
581
3.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
591
3.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
837
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
261
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
261
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
227
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
377
13.2 IPS |
|
|
Object Detection (F16)
|
100% |
377
13.2 IPS |
|
|
Object Detection (I8)
|
52% |
283
9.94 IPS |
|
|
Face Detection (F32)
|
100% |
606
6.97 IPS |
|
|
Face Detection (F16)
|
100% |
586
6.74 IPS |
|
|
Face Detection (I8)
|
75% |
473
5.44 IPS |
|
|
Text Classification (F32)
|
100% |
341
134.9 IPS |
|
|
Text Classification (F16)
|
100% |
341
135.0 IPS |
|
|
Machine Translation (F32)
|
100% |
558
86.0 IPS |
|
|
Machine Translation (F16)
|
100% |
556
85.7 IPS |
