OnePlus CPH2551
Geekbench AI Score
1005
Single Precision Score
985
Half Precision Score
1622
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | doughertywmd |
| Upload Date | April 14 2025 01:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2551 |
| Model ID | OnePlus CPH2551 |
| 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% |
860
159.9 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (Q)
|
100% |
1121
208.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
694
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1066
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2216
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1746
2.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
3214
3.81 IPS |
|
|
Object Detection (SP)
|
98% |
1037
82.5 IPS |
|
|
Object Detection (HP)
|
98% |
630
50.2 IPS |
|
|
Object Detection (Q)
|
83% |
902
72.8 IPS |
|
|
Face Detection (SP)
|
100% |
1738
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1778
21.1 IPS |
|
|
Face Detection (Q)
|
95% |
4390
52.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2374
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1523
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2450
22.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2759
3.58 IPS |
|
|
Style Transfer (HP)
|
89% |
2829
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
10920
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
744
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1500
55.6 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.7 IPS |
|
|
Text Classification (HP)
|
99% |
371
495.1 IPS |
|
|
Text Classification (Q)
|
88% |
551
743.6 IPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.4 IPS |
