OnePlus CPH2653
Geekbench AI Score
284
Single Precision Score
266
Half Precision Score
503
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 01 2026 03:12 PM |
| Views | 2 |
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% |
308
57.2 IPS |
|
|
Image Classification (HP)
|
100% |
312
58.0 IPS |
|
|
Image Classification (Q)
|
99% |
353
65.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
310
5.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
383
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
334
0.39 IPS |
|
|
Pose Estimation (Q)
|
98% |
765
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.96 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
87% |
317
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
567
6.73 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.78 IPS |
|
|
Face Detection (Q)
|
97% |
689
8.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
273
2.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
626
5.68 IPS |
|
|
Style Transfer (SP)
|
100% |
901
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
1486
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
903
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.3 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.0 IPS |
|
|
Text Classification (Q)
|
91% |
277
372.5 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.02 IPS |
