OnePlus CPH2709
Geekbench AI Score
340
Single Precision Score
339
Half Precision Score
745
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 05:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (Q)
|
99% |
678
126.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1804
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (Q)
|
87% |
738
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
631
7.49 IPS |
|
|
Face Detection (HP)
|
100% |
635
7.55 IPS |
|
|
Face Detection (Q)
|
97% |
1493
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
561
4.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
568
4.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
1359
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
935
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
939
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
1675
2.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
124
4.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.5 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.7 IPS |
|
|
Text Classification (Q)
|
91% |
256
344.5 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.83 IPS |
|
|
Machine Translation (Q)
|
57% |
227
5.54 IPS |
