OnePlus CPH2551
Geekbench AI Score
1279
Single Precision Score
1776
Half Precision Score
1460
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 05 2025 12:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
879
163.4 IPS |
|
|
Image Classification (HP)
|
100% |
1208
224.6 IPS |
|
|
Image Classification (Q)
|
99% |
1114
207.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3460
56.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2342
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7849
9.16 IPS |
|
|
Pose Estimation (HP)
|
99% |
13944
16.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
13507
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (HP)
|
99% |
810
64.2 IPS |
|
|
Object Detection (Q)
|
82% |
819
66.4 IPS |
|
|
Face Detection (SP)
|
100% |
2492
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
2774
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3510
27.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4519
34.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3614
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9570
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17889
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16871
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1776
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1699
63.0 IPS |
|
|
Text Classification (SP)
|
35% |
24
229.5 IPS |
|
|
Text Classification (HP)
|
35% |
29
263.0 IPS |
|
|
Text Classification (Q)
|
35% |
31
297.4 IPS |
|
|
Machine Translation (SP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (HP)
|
97% |
479
8.28 IPS |
|
|
Machine Translation (Q)
|
49% |
172
6.45 IPS |
