OnePlus CPH2653
Geekbench AI Score
2756
Single Precision Score
4418
Half Precision Score
3723
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 23 2025 01:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1748
325.1 IPS |
|
|
Image Classification (HP)
|
100% |
2819
524.3 IPS |
|
|
Image Classification (Q)
|
100% |
2651
492.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3630
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6244
101.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5890
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12733
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
22908
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
22807
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
99% |
2186
173.4 IPS |
|
|
Object Detection (Q)
|
85% |
2105
169.4 IPS |
|
|
Face Detection (SP)
|
100% |
5372
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
10157
120.7 IPS |
|
|
Face Detection (Q)
|
97% |
8733
104.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6668
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9210
71.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7165
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16032
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36230
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34588
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3526
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5802
215.0 IPS |
|
|
Text Classification (SP)
|
35% |
93
901.8 IPS |
|
|
Text Classification (HP)
|
35% |
89
806.6 IPS |
|
|
Text Classification (Q)
|
33% |
73
814.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1819
31.3 IPS |
|
|
Machine Translation (Q)
|
48% |
745
28.6 IPS |
