OnePlus CPH2747
Geekbench AI Score
280
Single Precision Score
321
Half Precision Score
661
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 23 2025 11:12 AM |
| Views | 11 |
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% |
134
25.0 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
99% |
519
96.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
370
6.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
314
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
1452
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
383
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
379
4.51 IPS |
|
|
Face Detection (Q)
|
97% |
806
9.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
494
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
317
2.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1132
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
599
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
904
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2166
2.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
215
7.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
542
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
311
414.7 IPS |
|
|
Text Classification (HP)
|
100% |
311
414.6 IPS |
|
|
Text Classification (Q)
|
91% |
334
449.4 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (Q)
|
57% |
417
10.2 IPS |
