OnePlus CPH2551
Geekbench AI Score
346
Single Precision Score
16221
Half Precision Score
36816
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Pauly802 |
| Upload Date | November 13 2025 10:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
290
53.9 IPS |
|
|
Image Classification (HP)
|
100% |
12769
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
32315
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
7881
127.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21889
355.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
71251
83.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
294798
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
12270
973.2 IPS |
|
|
Object Detection (Q)
|
86% |
13872
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
703
8.36 IPS |
|
|
Face Detection (HP)
|
100% |
25728
305.7 IPS |
|
|
Face Detection (Q)
|
97% |
88943
1.06 KIPS |
|
|
Depth Estimation (SP)
|
100% |
599
4.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
44324
341.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
79305
742.6 IPS |
|
|
Style Transfer (SP)
|
100% |
565
0.73 IPS |
|
|
Style Transfer (HP)
|
98% |
58019
74.8 IPS |
|
|
Style Transfer (Q)
|
98% |
291190
375.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31824
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81501
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
132
176.7 IPS |
|
|
Text Classification (HP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
357
6.14 IPS |
|
|
Machine Translation (HP)
|
100% |
2713
46.7 IPS |
|
|
Machine Translation (Q)
|
55% |
1689
44.3 IPS |
