OnePlus CPH2653
Geekbench AI Score
275
Single Precision Score
238
Half Precision Score
616
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 01 2026 02:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2653 |
| Model ID | OnePlus CPH2653 |
| 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
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
99% |
1064
198.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
300
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
280
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1418
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.89 IPS |
|
|
Object Detection (Q)
|
87% |
603
48.4 IPS |
|
|
Face Detection (SP)
|
100% |
319
3.80 IPS |
|
|
Face Detection (HP)
|
100% |
321
3.81 IPS |
|
|
Face Detection (Q)
|
97% |
679
8.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
271
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
271
2.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
602
5.46 IPS |
|
|
Style Transfer (SP)
|
100% |
509
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
509
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
2315
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
130
4.79 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
460
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.1 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.8 IPS |
|
|
Text Classification (Q)
|
91% |
278
374.0 IPS |
|
|
Machine Translation (SP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (Q)
|
57% |
241
5.89 IPS |
