OnePlus OPD2203
Geekbench ML Score
553
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 26 2024 05:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus OPD2203 |
| Model ID | OnePlus OPD2203 |
| Motherboard | k6983v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
293
54.9 IPS |
|
|
Image Classification (F16)
|
100% |
317
59.4 IPS |
|
|
Image Classification (I8)
|
97% |
340
63.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
368
6.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
372
6.22 IPS |
|
|
Image Segmentation (I8)
|
98% |
397
6.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
696
0.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
686
0.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
2019
2.44 IPS |
|
|
Object Detection (F32)
|
100% |
310
23.2 IPS |
|
|
Object Detection (F16)
|
100% |
306
22.9 IPS |
|
|
Object Detection (I8)
|
61% |
441
32.9 IPS |
|
|
Face Detection (F32)
|
100% |
686
8.15 IPS |
|
|
Face Detection (F16)
|
100% |
720
8.56 IPS |
|
|
Face Detection (I8)
|
86% |
956
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
711
5.51 IPS |
|
|
Depth Estimation (F16)
|
100% |
699
5.42 IPS |
|
|
Depth Estimation (I8)
|
95% |
926
7.18 IPS |
|
|
Style Transfer (F32)
|
100% |
1286
1.69 IPS |
|
|
Style Transfer (F16)
|
100% |
1358
1.79 IPS |
|
|
Style Transfer (I8)
|
98% |
2241
2.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
439
15.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
465
16.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
979
35.0 IPS |
|
|
Text Classification (F32)
|
100% |
372
533.9 IPS |
|
|
Text Classification (F16)
|
100% |
395
568.1 IPS |
|
|
Text Classification (I8)
|
92% |
226
325.2 IPS |
|
|
Machine Translation (F32)
|
100% |
462
8.51 IPS |
|
|
Machine Translation (F16)
|
100% |
492
9.05 IPS |
|
|
Machine Translation (I8)
|
64% |
221
4.06 IPS |
