OnePlus CPH2709
Geekbench AI Score
1310
Single Precision Score
1136
Half Precision Score
1758
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 11:55 PM |
| Views | 1 |
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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.3 IPS |
|
|
Image Classification (Q)
|
100% |
1031
191.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1187
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3226
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1761
2.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
7110
8.43 IPS |
|
|
Object Detection (SP)
|
98% |
647
51.5 IPS |
|
|
Object Detection (HP)
|
98% |
1598
127.2 IPS |
|
|
Object Detection (Q)
|
83% |
1209
97.7 IPS |
|
|
Face Detection (SP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (Q)
|
95% |
2585
30.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1349
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1561
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2599
23.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3207
4.16 IPS |
|
|
Style Transfer (HP)
|
89% |
6129
7.96 IPS |
|
|
Style Transfer (Q)
|
98% |
6443
8.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1634
60.6 IPS |
|
|
Text Classification (SP)
|
100% |
625
833.8 IPS |
|
|
Text Classification (HP)
|
99% |
364
486.4 IPS |
|
|
Text Classification (Q)
|
88% |
735
990.9 IPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
516
18.3 IPS |
