OnePlus CPH2723
Geekbench AI Score
301
Single Precision Score
322
Half Precision Score
656
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | dd88 |
| Upload Date | January 11 2026 06:51 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2723 |
| Model ID | OnePlus CPH2723 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
1075
200.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1064
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1895
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.89 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
318
25.5 IPS |
|
|
Face Detection (SP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (HP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (Q)
|
97% |
680
8.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
272
2.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
613
5.56 IPS |
|
|
Style Transfer (SP)
|
100% |
898
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
506
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
1653
2.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
245
9.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
461
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.0 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.0 IPS |
|
|
Text Classification (Q)
|
91% |
282
379.3 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.57 IPS |
|
|
Machine Translation (Q)
|
57% |
242
5.92 IPS |
