OnePlus CPH2709
Geekbench AI Score
1210
Single Precision Score
1071
Half Precision Score
2378
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 23 2025 10:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.1 IPS |
|
|
Image Classification (Q)
|
100% |
2098
390.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2918
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2790
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3159
3.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
6707
7.95 IPS |
|
|
Object Detection (SP)
|
98% |
702
55.9 IPS |
|
|
Object Detection (HP)
|
98% |
683
54.3 IPS |
|
|
Object Detection (Q)
|
83% |
1984
160.3 IPS |
|
|
Face Detection (SP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
2556
30.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3056
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1650
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2603
23.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3568
4.63 IPS |
|
|
Style Transfer (HP)
|
89% |
3652
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
14895
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
829
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1631
60.4 IPS |
|
|
Text Classification (SP)
|
100% |
364
485.3 IPS |
|
|
Text Classification (HP)
|
99% |
355
474.3 IPS |
|
|
Text Classification (Q)
|
88% |
812
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
543
19.3 IPS |
