OnePlus CPH2747
Geekbench AI Score
406
Single Precision Score
421
Half Precision Score
964
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 12:19 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% |
298
55.5 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.6 IPS |
|
|
Image Classification (Q)
|
99% |
892
166.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
840
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1906
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (Q)
|
87% |
1010
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (Q)
|
97% |
2021
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
705
5.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
664
5.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1524
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1174
1.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1147
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3008
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
247
9.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
541
20.0 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.5 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.1 IPS |
|
|
Text Classification (Q)
|
91% |
339
455.3 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.07 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.92 IPS |
