OnePlus CPH2747
Geekbench AI Score
527
Single Precision Score
534
Half Precision Score
1237
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 12:10 AM |
| Views | 1 |
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 | 14.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
373
69.5 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (Q)
|
99% |
880
164.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
421
6.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
798
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1906
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (Q)
|
87% |
996
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (HP)
|
100% |
799
9.49 IPS |
|
|
Face Detection (Q)
|
97% |
2018
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
645
4.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
668
5.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
1687
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1138
1.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1147
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3011
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1358
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
516
689.0 IPS |
|
|
Text Classification (HP)
|
100% |
506
674.8 IPS |
|
|
Text Classification (Q)
|
91% |
809
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (Q)
|
57% |
560
13.7 IPS |
