OnePlus CPH2747
Geekbench AI Score
362
Single Precision Score
351
Half Precision Score
815
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | immortal3000 |
| Upload Date | December 15 2025 03:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2747 |
| Model ID | OnePlus CPH2747 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
99% |
487
90.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
518
8.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
373
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1596
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
620
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
582
6.92 IPS |
|
|
Face Detection (HP)
|
100% |
423
5.02 IPS |
|
|
Face Detection (Q)
|
97% |
1319
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
411
3.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
494
3.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1071
9.71 IPS |
|
|
Style Transfer (SP)
|
100% |
896
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
817
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
2081
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
239
8.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
247
9.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
852
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
312
415.8 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.4 IPS |
|
|
Text Classification (Q)
|
91% |
501
674.0 IPS |
|
|
Machine Translation (SP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (Q)
|
57% |
417
10.2 IPS |
