OnePlus CPH2649
Geekbench AI Score
2524
Single Precision Score
3823
Half Precision Score
3386
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 03:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2649 |
| Model ID | OnePlus CPH2649 |
| 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 | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
2318
431.1 IPS |
|
|
Image Classification (Q)
|
100% |
2011
374.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4494
72.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6067
98.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12856
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23066
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22496
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
1914
151.8 IPS |
|
|
Object Detection (Q)
|
85% |
1834
147.6 IPS |
|
|
Face Detection (SP)
|
100% |
4793
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
7300
86.7 IPS |
|
|
Face Detection (Q)
|
97% |
7027
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6575
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8986
69.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
7031
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15774
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35359
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34919
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3471
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5068
187.8 IPS |
|
|
Text Classification (SP)
|
35% |
66
642.8 IPS |
|
|
Text Classification (HP)
|
35% |
69
627.0 IPS |
|
|
Text Classification (Q)
|
33% |
67
754.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (Q)
|
48% |
672
25.8 IPS |
