OnePlus CPH2551
Geekbench AI Score
387
Single Precision Score
366
Half Precision Score
816
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Pauly802 |
| Upload Date | November 13 2025 10:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
289
53.8 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.8 IPS |
|
|
Image Classification (Q)
|
99% |
717
133.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
739
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1911
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
87% |
512
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.40 IPS |
|
|
Face Detection (Q)
|
97% |
865
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
628
4.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
601
4.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
1461
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
930
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
1020
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2442
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
804
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.2 IPS |
|
|
Text Classification (HP)
|
100% |
213
284.4 IPS |
|
|
Text Classification (Q)
|
91% |
428
575.2 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (Q)
|
57% |
239
5.85 IPS |
