OnePlus CPH2723
Geekbench ML Score
324
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 26 2025 10:49 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
291
54.4 IPS |
|
|
Image Classification (F16)
|
100% |
308
57.7 IPS |
|
|
Image Classification (I8)
|
97% |
332
62.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
159
2.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
159
2.65 IPS |
|
|
Image Segmentation (I8)
|
98% |
381
6.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
427
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
223
0.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
823
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
132
9.86 IPS |
|
|
Object Detection (F16)
|
100% |
134
10.0 IPS |
|
|
Object Detection (I8)
|
61% |
355
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
352
4.18 IPS |
|
|
Face Detection (F16)
|
100% |
352
4.18 IPS |
|
|
Face Detection (I8)
|
86% |
761
9.05 IPS |
|
|
Depth Estimation (F32)
|
100% |
318
2.47 IPS |
|
|
Depth Estimation (F16)
|
100% |
297
2.30 IPS |
|
|
Depth Estimation (I8)
|
95% |
814
6.31 IPS |
|
|
Style Transfer (F32)
|
100% |
556
0.73 IPS |
|
|
Style Transfer (F16)
|
100% |
542
0.71 IPS |
|
|
Style Transfer (I8)
|
98% |
1500
1.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
149
5.32 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
156
5.58 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
529
18.9 IPS |
|
|
Text Classification (F32)
|
100% |
177
253.7 IPS |
|
|
Text Classification (F16)
|
100% |
178
255.5 IPS |
|
|
Text Classification (I8)
|
92% |
291
417.5 IPS |
|
|
Machine Translation (F32)
|
100% |
334
6.14 IPS |
|
|
Machine Translation (F16)
|
100% |
337
6.20 IPS |
|
|
Machine Translation (I8)
|
64% |
377
6.94 IPS |
