OnePlus CPH2551
Geekbench AI Score
1773
Single Precision Score
1762
Half Precision Score
2718
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Pauly802 |
| Upload Date | November 13 2025 09:43 PM |
| Views | 3 |
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% |
1797
334.1 IPS |
|
|
Image Classification (HP)
|
100% |
1762
327.7 IPS |
|
|
Image Classification (Q)
|
100% |
2556
475.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3132
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2813
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2782
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
5523
6.55 IPS |
|
|
Object Detection (SP)
|
98% |
1281
101.9 IPS |
|
|
Object Detection (HP)
|
98% |
1199
95.4 IPS |
|
|
Object Detection (Q)
|
83% |
1786
144.3 IPS |
|
|
Face Detection (SP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (Q)
|
95% |
3959
47.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2569
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2509
19.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4087
37.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5936
7.71 IPS |
|
|
Style Transfer (HP)
|
89% |
5954
7.73 IPS |
|
|
Style Transfer (Q)
|
98% |
11048
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1141
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2849
105.6 IPS |
|
|
Text Classification (SP)
|
100% |
522
697.3 IPS |
|
|
Text Classification (HP)
|
99% |
572
763.1 IPS |
|
|
Text Classification (Q)
|
88% |
948
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
579
20.6 IPS |
