OnePlus CPH2723
Geekbench ML Score
319
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 26 2025 11:01 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2723 |
| Model ID | OnePlus CPH2723 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
973
182.0 IPS |
|
|
Image Classification (F16)
|
100% |
956
178.9 IPS |
|
|
Image Classification (I8)
|
97% |
83
15.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
319
5.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
321
5.36 IPS |
|
|
Image Segmentation (I8)
|
98% |
330
5.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
1075
1.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
1089
1.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
2793
3.38 IPS |
|
|
Object Detection (F32)
|
100% |
123
9.21 IPS |
|
|
Object Detection (F16)
|
100% |
121
9.06 IPS |
|
|
Object Detection (I8)
|
61% |
140
10.4 IPS |
|
|
Face Detection (F32)
|
100% |
410
4.87 IPS |
|
|
Face Detection (F16)
|
100% |
414
4.92 IPS |
|
|
Face Detection (I8)
|
86% |
455
5.40 IPS |
|
|
Depth Estimation (F32)
|
100% |
1891
14.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
438
3.40 IPS |
|
|
Depth Estimation (I8)
|
95% |
494
3.83 IPS |
|
|
Style Transfer (F32)
|
100% |
2041
2.68 IPS |
|
|
Style Transfer (F16)
|
100% |
1982
2.61 IPS |
|
|
Style Transfer (I8)
|
98% |
4125
5.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
242
8.63 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
246
8.79 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
314
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
15
21.1 IPS |
|
|
Text Classification (F16)
|
100% |
15
21.1 IPS |
|
|
Text Classification (I8)
|
92% |
16
23.1 IPS |
|
|
Machine Translation (F32)
|
100% |
258
4.75 IPS |
|
|
Machine Translation (F16)
|
100% |
194
3.57 IPS |
|
|
Machine Translation (I8)
|
64% |
44
0.81 IPS |
