OnePlus CPH2709
Geekbench AI Score
1047
Single Precision Score
1094
Half Precision Score
1862
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 27 2025 06:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2709 |
| Model ID | OnePlus CPH2709 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (Q)
|
100% |
911
169.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2320
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2959
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2935
3.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
2659
3.15 IPS |
|
|
Object Detection (SP)
|
98% |
333
26.5 IPS |
|
|
Object Detection (HP)
|
98% |
556
44.3 IPS |
|
|
Object Detection (Q)
|
83% |
2008
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
1073
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
4618
55.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2910
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2920
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5009
45.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2599
3.37 IPS |
|
|
Style Transfer (HP)
|
89% |
2744
3.56 IPS |
|
|
Style Transfer (Q)
|
98% |
4969
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
559
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1106
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
325
433.7 IPS |
|
|
Text Classification (HP)
|
99% |
288
384.2 IPS |
|
|
Text Classification (Q)
|
88% |
545
735.1 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (Q)
|
50% |
643
22.8 IPS |
