OnePlus CPH2609
Geekbench AI Score
2139
Single Precision Score
2135
Half Precision Score
3452
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ElectricSauna |
| Upload Date | June 15 2025 05:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2609 |
| Model ID | OnePlus CPH2609 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1783
331.6 IPS |
|
|
Image Classification (HP)
|
100% |
1839
341.9 IPS |
|
|
Image Classification (Q)
|
100% |
2905
540.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2892
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2864
3.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
6533
7.75 IPS |
|
|
Object Detection (SP)
|
98% |
1643
130.8 IPS |
|
|
Object Detection (HP)
|
98% |
1698
135.1 IPS |
|
|
Object Detection (Q)
|
83% |
2503
202.2 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
5569
66.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3030
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2923
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5382
49.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7193
9.34 IPS |
|
|
Style Transfer (HP)
|
89% |
7118
9.24 IPS |
|
|
Style Transfer (Q)
|
98% |
14203
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1418
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3796
140.7 IPS |
|
|
Text Classification (SP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1288
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
842
29.9 IPS |
