OnePlus 13 OnePlus CPH2653
Geekbench AI Score
365
Single Precision Score
368
Half Precision Score
881
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | marvingnils |
| Upload Date | August 30 2025 08:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
297
55.3 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.9 IPS |
|
|
Image Classification (Q)
|
99% |
1086
202.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1041
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
484
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1918
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (Q)
|
87% |
1160
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.14 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (Q)
|
97% |
2367
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
626
4.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
640
4.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
695
6.31 IPS |
|
|
Style Transfer (SP)
|
100% |
564
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1517
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
146
5.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
542
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.2 IPS |
|
|
Text Classification (HP)
|
100% |
185
246.7 IPS |
|
|
Text Classification (Q)
|
91% |
310
416.7 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (Q)
|
57% |
268
6.54 IPS |
