OnePlus 13 OnePlus CPH2653
Geekbench AI Score
2450
Single Precision Score
2510
Half Precision Score
4610
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | marvingnils |
| Upload Date | August 30 2025 08:20 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1563
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.3 IPS |
|
|
Image Classification (Q)
|
100% |
4248
789.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4967
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4611
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
4623
5.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
12081
14.3 IPS |
|
|
Object Detection (SP)
|
98% |
1455
115.8 IPS |
|
|
Object Detection (HP)
|
98% |
1445
114.9 IPS |
|
|
Object Detection (Q)
|
83% |
3345
270.2 IPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (Q)
|
95% |
8397
100.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4004
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3991
30.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
8409
77.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10000
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9804
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21900
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6471
239.8 IPS |
|
|
Text Classification (SP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
938
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
994
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
512
18.2 IPS |
