OnePlus CPH2747
Geekbench AI Score
537
Single Precision Score
539
Half Precision Score
1270
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | February 05 2026 01:41 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% |
362
67.2 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.8 IPS |
|
|
Image Classification (Q)
|
99% |
1085
202.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
492
7.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1883
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (Q)
|
87% |
864
69.3 IPS |
|
|
Face Detection (SP)
|
100% |
804
9.55 IPS |
|
|
Face Detection (HP)
|
100% |
784
9.32 IPS |
|
|
Face Detection (Q)
|
97% |
2147
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
637
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
646
4.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1530
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1147
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1148
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3101
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
386
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1347
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.5 IPS |
|
|
Text Classification (HP)
|
100% |
512
683.4 IPS |
|
|
Text Classification (Q)
|
91% |
815
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
57% |
545
13.3 IPS |
