OnePlus CPH2747
Geekbench AI Score
514
Single Precision Score
516
Half Precision Score
1273
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 12:57 AM |
| Views | 3 |
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% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
99% |
901
168.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
795
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1912
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
277
21.9 IPS |
|
|
Object Detection (Q)
|
87% |
981
78.7 IPS |
|
|
Face Detection (SP)
|
100% |
817
9.71 IPS |
|
|
Face Detection (HP)
|
100% |
796
9.45 IPS |
|
|
Face Detection (Q)
|
97% |
2119
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
658
5.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
650
5.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
1513
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1159
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1146
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3034
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1394
51.7 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.1 IPS |
|
|
Text Classification (HP)
|
100% |
514
686.0 IPS |
|
|
Text Classification (Q)
|
91% |
842
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
57% |
731
17.9 IPS |
