OnePlus 13 OnePlus CPH2653
Geekbench AI Score
2617
Single Precision Score
4207
Half Precision Score
3540
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | marvingnils |
| Upload Date | August 30 2025 08:22 AM |
| Views | 30 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1526
283.8 IPS |
|
|
Image Classification (HP)
|
100% |
2144
398.7 IPS |
|
|
Image Classification (Q)
|
100% |
2145
398.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2917
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6819
110.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5795
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12788
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23000
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22601
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
2089
165.7 IPS |
|
|
Object Detection (Q)
|
85% |
2104
169.4 IPS |
|
|
Face Detection (SP)
|
100% |
5204
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
9021
107.2 IPS |
|
|
Face Detection (Q)
|
97% |
8190
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6586
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8943
69.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
6946
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16064
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35425
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
35708
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3502
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5212
192.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5029
186.4 IPS |
|
|
Text Classification (SP)
|
35% |
86
833.7 IPS |
|
|
Text Classification (HP)
|
35% |
91
829.1 IPS |
|
|
Text Classification (Q)
|
33% |
69
777.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (Q)
|
48% |
742
28.5 IPS |
